METHOD FOR OPERATING A DRIVER INFORMATION SYSTEM IN AN EGO VEHICLE AND DRIVER INFORMATION SYSTEM

Description

[0001] The present invention relates to a method for operating a driver information system in an ego vehicle according to the preamble of claim 1 and to a driver information system in an ego vehicle according to the preamble of claim 8.

[0002] Modern vehicles often offer a comprehensive range of different systems that support the driver in controlling the vehicle, thereby contributing to improved comfort and safety. One of the challenges in this context is to design the interface between the human driver and the typically computer-based control system in such a way that all necessary and desired information is provided to the driver as quickly and easily as possible. Only then can the assistance options be optimally understood and used. In addition, the driver must know exactly how their vehicle will behave in a given situation, which assistance systems are currently active and whether their optimal function is guaranteed. They should also always be aware of how the systems work and to what extent manual intervention is necessary.

[0003] In the following, a driver assistance system is defined as a vehicle device that supports the driver in driving the vehicle. Such driver assistance systems can be designed as pure information systems that support the driver, but they can also control and regulate devices that automatically influence the vehicle's movement.

[0004] Through the use of driver assistance systems, various degrees of automation of vehicle control can be achieved. Without an activated driver assistance system, the driver directly influences the vehicle's movement. At most, signals or movements from driver-operated controls, such as the pedals, gearshift, or steering wheel, are transmitted to corresponding vehicle systems that influence the vehicle's movement. This level of vehicle movement corresponds to the lowest level of automation.

[0005] At a higher level of automation, some of the systems that help the vehicle move are automatically controlled. For example, the vehicle's steering or acceleration is controlled in either a positive or negative direction. At an even higher level of automation, the vehicle's systems are controlled to such an extent that certain types of vehicle movement, such as driving straight ahead, can be carried out automatically. At the highest level of automation, routes from a navigation system can be followed essentially automatically, or the vehicle can drive automatically on a motorway, for example, even without a predefined route. However, it is generally ensured that the driver can immediately regain control of the vehicle by actively steering or operating the pedals, even at a high level of automation.In addition, control can be returned to the driver if a system error occurs or a route that cannot be driven automatically is detected.

[0006] The various driver assistance systems also perform different safety functions. At a low level of automation, one or more driver assistance systems only provide the driver with information that influences the way the vehicle moves. At a higher level of safety functions, warnings are issued that require an immediate response from the driver. At this level of automation, however, the driver assistance systems do not actively and automatically intervene in the function of the devices that influence the vehicle's movement. At an even higher level of automation, some of the devices that serve to move the vehicle are automatically intervened in.At an even higher level of automation, the vehicle's systems that influence its movement are intervened to such an extent that certain vehicle maneuvers can be carried out automatically, such as emergency braking or a targeted evasive maneuver to avoid a collision.

[0007] The warnings issued by driver assistance systems alert the driver to specific hazards. This increases safety while driving. When a driver assistance system actively intervenes in the vehicle's movement, dangerous driving situations such as collisions or uncontrolled vehicle movements can be avoided even if the driver does not directly intervene. However, with the safety functions of the driver assistance system, the driver always retains full control and responsibility for the driving situation. The driver assistance system intervenes, for example, if there is a risk of collision or if the driver is no longer able to drive the vehicle for health reasons.

[0008] In addition to potentially directly influencing the vehicle's controls, driver assistance systems typically provide the driver with a certain level of detail about the system's activity. This can be done, for example, via visual, acoustic, or haptic signals. This ensures that the driver can assess the impact of a driver assistance system on the journey and intervene if necessary. Furthermore, the driver is typically expected to recognize automatic interventions in the control system early on so as not to be caught off guard.

[0009] Driver assistance systems, which can partially intervene automatically in vehicle control and / or issue warnings about potentially dangerous situations, can particularly involve lateral or longitudinal control of the vehicle. Combinations of these fundamental vehicle control elements are also conceivable. The lateral control component particularly affects the position of the vehicle perpendicular to the direction of travel, for example, the so-called transverse offset on a lane or roadway. For example, a lane-keeping assistant can prevent the driver from crossing a lane marking, or the vehicle can be guided in the center of a lane. Furthermore, the driver can be supported when changing lanes or overtaking.Longitudinal control particularly affects the vehicle's speed in the direction of travel, which is determined, for example, based on legal regulations and road conditions, as well as a required safety distance from other road users. A corresponding driver assistance system can support the driver, for example, in maintaining a specified speed and / or distance from a vehicle ahead. Furthermore, the driver can prevent the driver from overtaking on a specific side; in particular, overtaking on the right in right-hand traffic or overtaking on the left in left-hand traffic is avoided, or appropriate warnings are generated.

[0010] Maintaining a safe distance from vehicles ahead is crucial when driving a vehicle. If automatic assistance is provided, the driver must always know exactly what the set safety distance is. This allows them to check whether the distance is appropriate for the current driving situation or whether manual intervention is necessary. Furthermore, the driver must be able to understand the consequences of the setting while adjusting the distance.

[0011] EP 3 269 579 A1 describes a method for operating an information system. In a front-end assistant, lines or surfaces are displayed as longitudinal control elements between the representation of the ego vehicle and the vehicle in front.

[0012] DE 10 2012 208 188 A1 describes a method and a device for displaying a target time gap for a vehicle. A set target time gap is identified by a graphic representation in the form of a solid area 340 to distinguish it from other alternatively selectable target time gaps.

[0013] The present invention is based on the object of providing a method for operating a driver information system in an ego vehicle, in which a driver can particularly easily and quickly determine which distance is maintained from the vehicle ahead.

[0014] According to the invention, this object is achieved by a method having the features of claim 1 and a driver information system having the features of claim 8. Advantageous embodiments and further developments emerge from the dependent claims.

[0015] In the method according to the invention, a current speed of the ego vehicle and a set parameter of an at least partially automatic longitudinal guidance function of a driver assistance system are recorded. A driver information display is generated and output, wherein the driver information display comprises a graphical lane object that represents a roadway located in front of the ego vehicle. A distance scale object and a distance indicator object are arranged on the lane object, which are formed depending on the current speed of the ego vehicle. The distance scale object is formed such that positions of the lane object are assigned to distances from the ego vehicle, and the distance indicator object is arranged on the distance scale object such that the set parameter is output.

[0016] The set parameter specifically relates to a driver assistance system that at least partially automatically supports the longitudinal control of the ego vehicle. This could be, for example, a distance warning system, an adaptive cruise control system, or an ACC system ( automated cruise control ). This is then, in particular, a control distance defined by the set parameter. The driver assistance system intervenes in the acceleration and deceleration of the ego vehicle in such a way that, in particular, a specified safety distance from another road user ahead is not undercut.

[0017] Since the method according to the invention outputs the set parameter based on the lane object, the driver can easily see how the setting affects the actual distance maintained. The display is therefore particularly intuitive and easy to understand. This is especially true compared to known methods that output isolated numerical values ​​or scales to indicate the setting of the parameter for the distance to another road user traveling ahead.

[0018] The driver information display comprises, in particular, an ego object representing the ego vehicle. This ego object is arranged, in particular, statically within the display so that its position relative to other objects, in particular the lane object, can be detected. In this case, the distance scale object can be configured to extend from the position of the ego object in the direction of travel along the lane object. Different positions along the distance scale object correspond to physical distances from the ego vehicle along the roadway.

[0019] The distance pointer object can be displayed, for example, as a graphic marker, arrow, or line on the distance scale object in such a way that a specific position of the distance scale object is marked. In particular, the distance scale object has a longitudinal extension along which the distance pointer object is arranged such that a specific distance value is displayed. Since the distance scale object is arranged on the lane object, a distance marked on it corresponds to a physical distance in the lane, in particular in the direction of travel in front of the ego vehicle.

[0020] In the method according to the invention, a driver information display is generated and output. Such a display can be designed in different ways and can comprise elements known per se. The display is generated and output in particular in a known manner using computing devices and display devices configured for this purpose. The display output by the driver information display includes outputs relevant to the control of the vehicle and its driving operation. These include, in particular, movement data or states of vehicle devices, as well as, if applicable, information and warning outputs from driver information systems.

[0021] The display can be output using known display units, such as a display, in particular on a center console of the ego vehicle or in an instrument cluster. Furthermore, output can be provided using a field of view display such that at least part of the driver information display is projected into one eye of the user in such a way that the display appears superimposed on the visual perception of the physical environment. In particular, methods and devices from the field of "augmented reality" (English: augmented reality ) can be used. Common field-of-view displays, such as head-up displays, use the windshield of a vehicle or glasses for projection.

[0022] In particular, the output display does not include the output of a video image captured by a camera of the ego vehicle. Instead, the output display data is generated by a computing unit, possibly based on video data from a camera, and the output graphical objects are represented schematically or in a simplified manner compared to real objects.

[0023] The driver information display may further comprise control objects or control elements, particularly in the form of a graphical user interface. Such objects may, for example, represent adjustable parameters or activatable and deactivatable functions. They are, in particular, designed to be selectable and / or operable, with user inputs being recorded in a conventional manner and evaluated with reference to the respective object.

[0024] The driver information display includes a graphical lane object representing the course of the road ahead of the ego vehicle. The lane object is designed in particular to correspond to a perspective representation of the road and includes a radius of curvature such that the actual radius of curvature of a curve in the road is displayed. The driver information display thus advantageously allows a particularly realistic assessment of the driving situation.

[0025] The road course, and in particular the actual radius of curvature of the curve, is recorded using environmental data. For example, map data can include information about the road course, and environmental data recorded by sensors of the ego vehicle can also be used.

[0026] The recorded road course includes, in particular, information about whether and to what extent a road traveled by the ego vehicle exhibits a lateral curvature. The recorded data can also relate to other properties of the road, such as an inclination of the road in a direction longitudinal or transverse to the direction of travel of the ego vehicle. In particular, the data recorded about the road course includes information about the geometric nature of the road. For example, the ego vehicle is driving on a road that may have multiple lanes. Typically, the ego vehicle follows the course of one of the lanes during its journey, although a lane change to another lane may be made if necessary. The recording of the road course can include the course of the currently used lane or multiple lanes.

[0027] The graphical lane object is particularly designed to allow the user or driver of the ego vehicle to spatially relate graphical elements of the driver information display to the roadway actually in front of the ego vehicle. The lane object can relate to the lane currently used by the ego vehicle. It can also relate to a lane in which the ego vehicle is expected to negotiate a bend, particularly if a lane change is to be performed before entering the bend. The lane object can also comprise multiple lanes, particularly the lane currently used by the ego vehicle and at least one spatially adjacent lane, particularly a neighboring lane for the same direction of travel. However, the representation can also comprise a separate lane object and at least one neighboring lane object.

[0028] The graphical lane object represents the actual road course, in particular in such a way that the user can assign a virtual position within the driver information display to a physical location on the road ahead of the ego-vehicle. The representation of an ego-object representing the ego-vehicle can be done in such a way that improved orientation of the driver within the driver information display and relative to the displayed lane object is achieved. The representation of the lane object is reduced in its level of detail compared to reality or is designed schematically. In particular, the view of the physical road from the perspective of the driver of the ego-vehicle can be mathematically mapped onto the graphical lane object through a transformation.

[0029] In particular, the driver information display does not include image data captured by a camera. Instead, the characteristics of the displayed objects are generated by a processing unit.

[0030] The graphical lane object comprises, in particular, a perspective view of a curved roadway, with the curvature of the graphical lane object essentially corresponding to the radius of curvature recorded for the physical roadway. The actual roadway is thus represented particularly realistically by the graphical lane object. The lane object is formed, in particular, from a perspective that corresponds to a view from a virtual position just above the ego vehicle.

[0031] In one embodiment of the method according to the invention, the distance scale object is formed such that the assigned distances to the ego vehicle are proportional to the detected speed of the ego vehicle. This advantageously ensures that the distance is adapted to the current driving situation.

[0032] The set parameter specifically defines the distance between the ego vehicle and another road user ahead, such that this distance becomes greater the faster the ego vehicle is moving. The distance is specifically defined to correspond to the distance the ego vehicle travels within a specific time interval. This corresponds, for example, to the usual rules of thumb for maintaining a safe distance, such as the so-called "two-second rule." Depending on the current driving situation, different time intervals may be appropriate, particularly a greater safe distance in poor lighting or adverse weather conditions.

[0033] Due to this proportionality of the set distance to the speed of the ego vehicle, the distance scale object displayed in the driver information display also changes with the speed. For example, it can be lengthened as the speed increases and shortened as the speed decreases. Alternatively or additionally, a scale division encompassed by the distance scale object can be created depending on the speed of the ego vehicle and, if necessary, dynamically changed.

[0034] In a further embodiment, the parameter of the longitudinal guidance functions can be adjusted in a specific number of steps, for example, between three and ten steps being provided, which correspond in particular to equidistant distance steps. In particular, however, each step corresponds to a specific time interval, through which the distance to be maintained can be determined based on the current speed of the ego vehicle. This advantageously allows the driver to adjust the distance particularly quickly.

[0035] The distance scale object is then particularly designed so that the steps can be detected. For example, the distance scale object has as many sections that are designed to be distinguishable from one another as there are steps that can be set for the parameter. For example, the sections can be arranged one behind the other in a longitudinal direction and spaced apart from one another or separated by a graphic element.

[0036] In a further embodiment, the parameter is continuously adjustable. The distance scale element can be designed in steps as described above, while the position of the distance indicator object is arranged relative to the distance scale element such that the continuously adjustable value can be read. For example, the distance scale element can comprise several sections, while the distance indicator element can be arranged at a specific position between or close to different sections such that intermediate steps can also be detected. Furthermore, the distance scale element itself can be designed to be essentially continuously adjustable, for example if it has a color scale in which a set value of the parameter is output using a color, or the distance scale element can, for example, have a continuously changing width by means of which the set parameter value can be read.Furthermore, different forms of representation can be combined, for example with a distance scale element that comprises sections overlaid with a continuous color scale.

[0037] If the speed of the ego vehicle changes, the distance scale element is also adjusted. For example, if the parameter is set in steps, the sections representing these steps can be enlarged as the speed increases to illustrate that the distance assigned to a parameter increases with speed. Conversely, smaller sections can be displayed as the speed decreases. Any color scale, if present, can be changed to the same extent, as can other features of the distance scale object that serve to output the set distance.

[0038] During a training session, a user input is recorded, and the set parameter is changed based on the user input. The driver information display advantageously supports the driver in setting the parameter.

[0039] The user input can be captured in a manner known per se, for example by means of a push button, a wheel or a sliding element, in particular on a steering wheel of the ego vehicle.

[0040] After a change in the parameter is detected, the position of the distance pointer object relative to the distance scale object is changed so that the changed value is output. For example, a jump of the distance pointer object along an extension direction of the distance scale object can be output.

[0041] For example, the driver assistance system can be activated or deactivated manually. Furthermore, the driver assistance system can be deactivated automatically when the driver presses the brake pedal.

[0042] According to the invention, the graphical lane object is formed such that it corresponds to a perspective representation of the course of the roadway and includes a radius of curvature such that an actual radius of curvature is output. This advantageously allows the driver to grasp the driving situation particularly easily. In particular, the graphical lane object is represented particularly realistically and with particularly relevant features of the actual roadway.

[0043] The environmental data is collected using sensors on the ego vehicle, such as a camera, a LIDAR sensor, or a radar sensor. This advantageously provides information about the actual environmental conditions in a specific driving situation. In particular, data provided by conventional driver assistance systems, such as lane change or overtaking assistants, can be used. The driver information display thus advantageously allows for a particularly realistic assessment of the driving situation.

[0044] The ego vehicle's sensors each have a detection range. For example, a radar sensor can collect data at a specific spatial angle and up to a specific distance from the ego vehicle. The sensors can be directed in the direction of travel, against the direction of travel, or to the side, and collect data in correspondingly arranged detection ranges.

[0045] In a further development, the position of the ego vehicle is determined, and the surrounding data is recorded using map data and based on the determined position. This advantageously allows the surrounding data contained in the map data and other information to be used for the driver information display.

[0046] In particular, the map data can include information about the radius of curvature of a curve in the roadway. For example, it can also be detected whether a particular lane is open to oncoming traffic, such as on a one-way street or a highway.

[0047] The position of the ego vehicle is recorded in a conventional manner, for example, using a navigation satellite system such as GPS. The map data is also provided in a conventional manner, for example, from a storage unit of a navigation system of the ego vehicle or from an external unit to which there is at least a temporary data connection.

[0048] The data connection between the ego vehicle and an external unit, in particular an external server, can in particular be wireless, for example via a local area network or a larger network, for example the Internet. Furthermore, the connection can be established via a telecommunications network, such as a telephone network, or a wireless local area network (WLAN). Furthermore, the data connection can be established by connecting a data cable. The connection can also be established via another unit that can itself establish a connection to the external server. For example, a data connection can exist between the ego vehicle and a mobile phone connected to the Internet, for example via a data cable or a radio connection, for example via Bluetooth. In particular, the connection to the external server can be established via the Internet.

[0049] Methods from the field of communication between vehicles and other devices (Car2X) can be used. For example, communication with an infrastructure device ( Car2Infrastructure ) or another vehicle ( Car2Car ) take place.

[0050] In particular, environmental data detected by a sensor can be merged with map data to supplement information or check its plausibility. This ensures the most comprehensive database possible, and the recorded data can be supplemented particularly easily. For example, the map data can be used to determine whether oncoming traffic is expected in a lane, and in a further step, sensor data can be used to determine whether oncoming traffic is actually detected in the lane.

[0051] In a further development, environmental data in the vicinity of the ego vehicle is recorded, and based on the recorded environmental data, another road user is identified. The driver information display includes a graphical road user object representing the other road user. A display-relevant feature of the other road user is determined, and the road user object assigned to the other road user is created based on the display-relevant feature. This advantageously allows the driver to easily assign the road user object to a vehicle actually present on the road.

[0052] For the purposes of the invention, representation-relevant features of a road user are those features that affect the representation of the road user and the road user object representing them, and not, for example, their arrangement within the driver information display. In particular, representation-relevant features are those features that characteristically influence the visual perception of other road users from the outside.

[0053] The representation-relevant feature can, for example, relate to the color, shape, and / or size of the other road user. It can also relate to the status of the other road user's lighting system, such as the status of a tail light or a turn signal. In particular, it does not relate to the distance or position of the other road user relative to the ego vehicle. Rather, these features characterize the external appearance of the other road user, and the road user object is therefore generated in such a way that it represents the other road user as realistically as possible.

[0054] In particular, the other road user is a vehicle traveling ahead. A road user class can be assigned to this vehicle. Furthermore, the road user class can be generic or specific, with a generic class comprising several specific classes. The greater the specificity of the assigned road user class, the greater the level of detail displayed in the driver information display.

[0055] During training, a data connection is established between the ego vehicle and the other road user, and the relevant feature is captured via the data connection. The data connection can be established, for example, using a conventional car-to-car connection. The methods or protocols used can be different, and different frequency ranges can be used for data transmission.

[0056] For example, information about a model of the other road user can be transmitted via such a connection. In this way, the road user object can be created, for example, by searching for suitable representations in a database of different models and assigning a specific representation to the captured model.

[0057] The display-relevant feature can, for example, relate to a planned driving maneuver of the other road user, while the driver information display includes a driving maneuver object assigned to the road user object. This advantageously makes it particularly easy for the driver to recognize which driving maneuvers can be expected from the other road user. The planned driving maneuver relates in particular to a change in direction and / or speed of the other road user.

[0058] A planned maneuver by another road user can be detected, for example, based on a traffic light signal, such as when it is detected that another road user's turn signal is activated. In such a case, it can be determined that the other road user is planning to change lanes or make a turn.

[0059] Furthermore, a planned driving maneuver can be recorded by means of a data connection, for example if the other road user communicates in this way that a specific driving maneuver is planned.

[0060] The driving maneuver object can be configured in different ways. In particular, it can comprise a graphical object such that it indicates a specific direction representing a planned change of direction of the other road user. This can, for example, be an arrow indicating a direction from the current position of the road user object to an adjacent lane. The driving maneuver object can furthermore be configured such that a planned trajectory of the other road user is output, for example from a current to a target position, in particular relative to the ego vehicle. Furthermore, a planned change in the speed of the other road user can be displayed, for example using an arrow pointing against the direction of travel or by a warning object.

[0061] In a further development, environmental data in the vicinity of the ego vehicle is recorded, and based on the recorded environmental data, a demarcation marking on the roadway is determined. A demarcation marking class is determined for the specific demarcation marking, with the driver information display comprising a graphic demarcation object that is generated depending on the specific demarcation marking class. The driver information display thus advantageously allows the driver particularly easy orientation, allowing them to directly associate display elements with perceived elements of the traffic situation.

[0062] For example, road markings are detected, assigned to a demarcation marking class, and displayed accordingly in the driver information display as a demarcation object. The demarcation object is positioned specifically on the road object and represents key characteristics of the detected road markings. For example, solid and broken lines, double lines, and other road markings can be displayed. The displayed demarcation object also follows the actual road course, for example, in the area of ​​a curve.

[0063] During training, the operating status of the driver assistance system of the ego vehicle is recorded, and an automation level is determined based on the recorded operating status of the driver assistance system. The driver information display includes a representation of the ego vehicle's surroundings, which is generated depending on the determined automation level. The driver information display can therefore be advantageously adapted particularly well to the current driving situation.

[0064] At a higher level of automation, the ego vehicle's driving is supported to a greater extent by at least partially automated functions of a driver assistance system than at a lower level of automation. For example, at a first level of automation, only either the longitudinal or lateral control of the ego vehicle is supported, while at a second, higher level of automation, support can be provided in both directions.

[0065] In particular, the lane object is displayed differently depending on the automation level at which the environment is displayed. The actual radius of curvature of a curve can be output, particularly in an expanded display, i.e., at a higher automation level. In contrast, in a reduced display, the lane object can be displayed only as a straight section, with, for example, the positions of other objects relative to the ego vehicle being transformed to the lane object in the reduced display.

[0066] In particular, the driver information display is generated using an ego-object in such a way that it is presented in a perspective view from behind. Furthermore, a section of roadway located in front of the ego-vehicle in the direction of travel can be represented using the roadway object. The virtual viewing direction in the driver information display is thus aligned such that a section of roadway that the ego-vehicle will be traveling on is visible. The lane object can, for example, refer to the lane currently used by the ego-vehicle and, alternatively or additionally, represent the course of other lanes. The lane object can, for example, be designed as a representation of a straight section of roadway in front of the ego-vehicle.

[0067] For example, depending on the level of automation, the road surface is displayed in more or less detail. In particular, the lane object is displayed for a shorter time in an initial environment display assigned to a lower automation level than in a higher automation level. In contrast, a larger portion of the road surface is displayed when a higher automation level has been determined.

[0068] Furthermore, at a higher level of automation, the environment representation can be dynamically designed such that more characteristics of the roadway currently in front of the ego vehicle are shown than at a lower level of automation. In particular, the representation is dynamically designed so that it is always adapted to the current traffic situation in the environment of the ego vehicle. The represented characteristics of the roadway can include, for example, a curvature, the arrangement of adjacent lanes or markings. These characteristics can be included in the lane object, depending on which automation level has been determined. For example, a lane object in a reduced representation can only comprise a straight roadway, while the curvature and, if applicable, a curve are included in an expanded representation.

[0069] For example, at a higher automation level, a roadway object can be displayed for a longer section of road. Furthermore, neighboring lanes can be displayed, with the degree of display depending on the automation level. For example, neighboring lanes are not displayed or only partially displayed if a lower automation level is selected, whereas at a higher automation level, neighboring lanes are displayed across their entire width.

[0070] During one training, the radius of curvature of a curve ahead of the ego vehicle is determined, and movement data of the ego vehicle is recorded. Based on the recorded movement data and the detected radius of curvature, a criticality is determined, and a graphical lane object is created with a highlight feature that is generated depending on the determined criticality. This advantageously allows the driver to quickly and easily determine whether and how they need to intervene in the control of the ego vehicle to ensure safe driving.

[0071] During training, the ego vehicle's motion data includes its current speed or a predicted speed when entering the curve. This allows the output to be adjusted very precisely to actual requirements.

[0072] The current speed of the ego-vehicle can be recorded in a conventional manner using sensors on the ego-vehicle. Furthermore, it is possible to determine, for example using a driver assistance system, the speed the ego-vehicle will have upon reaching a certain position, and in particular upon entering a curve. For example, if the ego-vehicle is already decelerating at the current time, the speed at which the ego-vehicle is expected to reach the beginning of the curve is determined. Braking can occur, for example, through the active use of a braking device, or the ego-vehicle can decelerate simply by the driver releasing the accelerator or allowing the ego-vehicle to coast to a stop.

[0073] Other movement data can also be recorded, for example acceleration in a direction longitudinal and / or transverse to the direction of travel.

[0074] During training, additional vehicle parameters are recorded, and criticality is determined based on these additional vehicle parameters. By taking into account data beyond the movement data of the ego vehicle, criticality can be assessed with greater accuracy.

[0075] In addition to the movement data of the ego vehicle, especially its speed, other data can also be recorded that influence the safe negotiation of the curve and, in particular, the adhesion between the ego vehicle's tires and the road surface. This includes, for example, data on the type, quality, condition, and age of the vehicle's tires or chassis settings.

[0076] The criticality determined during the development of the procedure indicates, in particular, quantitatively the urgency with which manual intervention by the driver is required to ensure safe driving. For example, it may be necessary to manually adjust the speed of the ego vehicle and / or manually apply a specific steering torque. In particular, a physical model is used to determine whether, at a certain speed and the specific radius of curvature of the curve, centrifugal forces occur that would lead to a departure from the lane or the planned trajectory. In particular, additional parameters are taken into account, which, for example, affect the force transmission between the road and the vehicle.

[0077] It can also be considered that standards and regulations for driver assistance systems in the area of ​​lateral control stipulate limits for the maximum automatically applied steering torque. This means that if the radius of a curve and the speed of the ego vehicle require it, the driver must manually apply additional steering torque to achieve a total steering torque above the threshold. The criticality therefore depends in particular on the steering torque that must be applied to safely negotiate the curve at the current speed of the ego vehicle. This can be calculated using a physical model depending on the radius of curvature of the curve and the speed, as well as other parameters if necessary.

[0078] The criticality may also depend on the type of action to be initiated. For example, a first criticality value may be determined if the vehicle must be decelerated in order to negotiate the curve with an unchanged level of assistance from a driver assistance system. A second criticality value may be determined if steering intervention is required. Furthermore, a third criticality value may be determined if both deceleration and steering intervention must be performed manually to negotiate the curve safely.

[0079] The highlighting feature of the graphical lane object is designed in a manner known per se and can include a highlighting representation, for example by means of color, brightness, contrast, transparency, saturation or shape, whereby the user's attention is drawn to a specific object. Colors for highlighting, which are also typically used to issue warnings, can be red, yellow and green. In contrast, certain color representations can result in lesser highlighting, for example with a gray, dark or less saturated color scheme. Furthermore, highlighting can occur by means of a time-varying representation of the lane object, in particular by a periodic change in the representation, for example by flashing or pulsing, or by suddenly appearing or disappearing.A temporal change in the display can also refer to a shape change or a one-time or periodic change in the size of the displayed graphic object. The highlight feature can also be implemented as an additional graphic object, such as a frame or border around the lane object.

[0080] The characteristics of the highlighting feature depend on the specific criticality. For example, at a lower criticality, the highlighting feature can be designed to provide weak highlighting, such as displaying the lane object without a border, or a color design that is similar to surrounding graphical objects in terms of brightness, color, and contrast. At a higher criticality, a border or an additional highlighting object can be displayed, or the lane object can be displayed differently from surrounding graphical objects for emphasis, for example, by displaying a high-contrast display in brightness and / or color or by using a signal color such as yellow or red.

[0081] In a further development, road surface properties are also recorded, and criticality is determined based on the recorded road surface properties. This allows criticality to be determined more reliably not only based on geometric features of the road, but also based on other relevant road surface characteristics.

[0082] Road surface properties particularly affect parameters relevant to the power transfer between the vehicle and the road surface. For example, wetness, snow, ice, oil, or other contaminants on the road surface can impair the adhesion between the tires and the road surface, requiring a curve to be negotiated at lower speed. Furthermore, the type of road surface can provide relevant information in this context.

[0083] The road surface properties are recorded in a conventional manner. For example, sensors of the ego vehicle can be used, such as a camera, a rain sensor, or a sensor system for measuring the adhesion between tires and the road surface or the wheel slip occurring on this surface. Alternatively or additionally, user inputs or data from an external device can be recorded, such as weather data for the position of the ego vehicle or the position of the curve. For this purpose, data from a Car2Infrastructure -, Car2X or Car2Car Communication is received, whereby a traffic infrastructure, an external unit and / or another vehicle collects data about the road surface properties and provides them to the ego vehicle.

[0084] In a further embodiment of the method, the graphical lane object further comprises a display parameter that is generated depending on the road surface properties or weather data. This advantageously allows the driver to be easily informed of circumstances that could impair negotiation of the curve and necessitate the implementation of specific measures.

[0085] Weather data can be collected in various ways, for example, using sensors on the ego vehicle, such as a rain sensor or a camera, or by receiving data from an external unit, such as an external server. In particular, the current position of the ego vehicle or the position of the curve can be collected and used to provide the weather data.

[0086] The display parameter can relate to a texture or a background image in the area of ​​the lane object. Alternatively or additionally, an edge area of ​​the lane object, such as a displayed road marking, can be displayed in a specific way, for example in a specific color. For example, it can be detected that the road is wet or that rain is currently falling or has fallen in the recent past. A display form of the graphical lane object can then be generated that represents a wet road. Analogously, a graphical representation of a snowy or icy road can be generated. The display can also have a specific coloring or pattern, such as hatching. In addition, certain optical features can be represented using virtual objects in the display, such as a reflection of an object on the surface of the displayed lane object.

[0087] The driver information system according to the invention in an ego vehicle comprises a detection unit configured to detect a current speed of the ego vehicle and a set parameter of an at least partially automatic longitudinal guidance function of a driver assistance system. It further comprises a control unit configured to generate and output a driver information display, wherein the driver information display comprises a graphical lane object representing a roadway located in front of the ego vehicle. A distance scale object and a distance pointer object are arranged in the lane object, which are formed as a function of the current speed of the ego vehicle.The distance scale object is formed such that the positions of the lane object are assigned to distances from the ego vehicle, and the distance indicator object is arranged on the distance scale object such that the set parameter is output. According to the invention, the control unit is configured to generate and output the driver information display such that the graphical lane object is formed such that it corresponds to a perspective representation of a course of the roadway and includes a radius of curvature such that an actual radius of curvature is output.

[0088] In one embodiment of the driver information system according to the invention, the display unit comprises a field of view display for outputting the driver information. The display can thus advantageously be perceived particularly easily by the driver. Furthermore, it can be particularly well related to the physical environment of the ego vehicle.

[0089] In particular, a head-up display or a known display device from the field of so-called "augmented reality" (English: augmented reality ) can be used. For example, glasses are known that project a graphic image into the user's eye in such a way that the graphic image appears superimposed on the eye's natural perception. In this way, additional information can be displayed in a particularly easy-to-understand manner.

[0090] The invention will now be explained using embodiments with reference to the drawings. Figure 1 shows a vehicle with an embodiment of the driver information system according to the invention. Figure 2 shows a traffic situation with vehicles on a roadway. Figure 3 shows an embodiment of a driver information display generated using the method when cornering. Figures 4A to 4C show further embodiments of driver information displays generated using the method, taking weather data into account. Figures 5A to 5D show further embodiments of driver information displays generated using the method, taking various types of road markings into account. Figures 6A to 6C show further embodiments of driver information displays generated using the method for a planned lane change. Figures 7A to 7C show further embodiments of driver information displays generated using the method, taking any impending oncoming traffic into account.Figures 8A to C show various representations of the ego object in the driver information display that can be generated and output using the method. Figure 9 shows an embodiment of a driver information display generated using the method with a trailer object. Figures 10A and 10B show embodiments of driver information displays for different automation levels. Figures 11A to 11C show embodiments of driver information displays with unclassified and classified other road users. Figures 12A and 12B show embodiments of driver information displays during a following journey of the ego vehicle. Figures 13A to 13D show embodiments of driver information displays when setting a control distance.

[0091] With reference to Figure 1 A vehicle with an embodiment of the driver information system according to the invention is explained.

[0092] An ego vehicle 1 comprises a detection unit 2 coupled to a control unit 3. It further comprises a display unit 4 and a driver assistance system 6, which are also coupled to the control unit 3. In the exemplary embodiment, the control unit 3 comprises an evaluation unit 5 and is wirelessly coupled to an external unit 10, in the exemplary embodiment an external server 10. The ego vehicle 1 further comprises a lighting device 7 and a towing device 8, which are also coupled to the control unit 3.

[0093] In the exemplary embodiment, the detection unit 2 is designed in a manner known per se and comprises a camera that captures image data in a detection area extending forward from the ego vehicle 1 at a specific angle in the direction of travel. It further comprises front, side, and rear radar sensors that capture data in additional detection areas around the ego vehicle 1.

[0094] The display unit 4 is also designed in a manner known per se and, in the exemplary embodiment, is integrated as a display in an instrument cluster of the ego vehicle 1. In further exemplary embodiments, the display unit 4 comprises a head-up display which is configured such that a display is projected into the field of vision of a driver of the ego vehicle 1 in such a way that the display is superimposed on the driver's natural perception. In further exemplary embodiments, further devices for outputting displays are also provided, such as those known from the field of augmented reality. Alternatively or additionally, the display unit 4 can comprise a center display in the region of a center console of the ego vehicle 1 or another display in the ego vehicle 1. In addition, the display unit 4 can comprise multiple displays.

[0095] The driver assistance system 6 comprises several driver assistance modules that support the driver of the ego vehicle 1 in various ways when controlling the ego vehicle 1. These are not specified in more detail in the exemplary embodiment. Systems are provided, for example, to support longitudinal control, in particular an assistant for maintaining a specified distance from a vehicle in front and for maintaining a specified speed, as well as to support lateral control, in particular an assistant for maintaining a lane, for example based on lane markings or by following a vehicle in front. Outputs can be generated by the driver assistance system 6 and output, for example, via the display unit 4, in particular to display warnings or recommended driving maneuvers to the driver. Furthermore, various driver assistance modules can actively intervene in control devices of the ego vehicle 1.

[0096] The lighting device 7 comprises various devices that provide illumination that can be detected from outside the ego vehicle 1. In the exemplary embodiment, headlights for generating daytime running lights, dipped beams, high beams, and parking lights are included. Furthermore, direction indicators, side marker lights, and other signal lights are included. Tail lights, brake lights, reflectors, rear fog lights, and reversing lights are also included, which are arranged particularly at the rear of the ego vehicle 1 so that they are visible to traffic approaching from behind.

[0097] The towing device 8 is designed in a manner known per se and comprises elements suitable for coupling to a towed device. This can, in particular, be a trailer. Electrical connections are also provided for this purpose, through which, for example, a trailer's lighting system can be controlled. In the exemplary embodiment, the towing device further comprises sensors that detect a supported mass and, if applicable, a trailer's tractive force, for example, to determine the presence of a trailer and, if applicable, its type.

[0098] With reference to Figure 2 An embodiment of the method is explained. The method described above with reference to Figure 1 explained ego vehicle with an embodiment of the driver information system according to the invention, which is further specified by the description of the method.

[0099] An ego vehicle 21, which in the embodiment corresponds to the Figure 1 The ego vehicle 1 shown in FIG. 1 is traveling in a direction indicated by an arrow 22 on a roadway 20 having two lanes 20a, 20b. A traffic sign 25 is arranged in the area of ​​the roadway 20. In the same lane 20b as the ego vehicle 21 there is a preceding vehicle 23, while in the adjacent lane 20a there is an oncoming vehicle 24. The roadway 20 has a curve course, with the Figure 2 In the embodiment shown, the ego vehicle 1 moves towards a right turn, which is followed by a left turn.

[0100] The ego vehicle 21 uses the detection unit 2 to detect the course of the road ahead in the direction of travel. In the exemplary embodiment, image data is captured using the camera included in the detection unit 2 and evaluated in a further step to determine the course of the road. For this purpose, in particular, the geometric configuration of the roadway 20 or the lane 20b currently being traveled by the ego vehicle 1 is determined. In further exemplary embodiments, other sensors of the ego vehicle 1 are provided for detection purposes, alternatively or additionally.

[0101] Based on the data recorded by the recording unit 2, the lane markings that separate the two lanes 20a, 20b are also recorded.

[0102] In addition, further Figure 2Road markings (not shown) at the edges of the roadway 20 are detected. Demarcation marking classes are determined for the road markings, in this case "dashed line" and "solid line" for different areas of the center line between lanes 20a, 20b, and "solid line" for the edge markings of the roadway 20. In further embodiments, a road marking of the demarcation marking class "double solid line," "parallel dashed and solid line," or a similar configuration can also be determined. A curb or a transition from the roadway 20 to an adjacent shoulder can also be detected as a demarcation marking and classified accordingly.

[0103] Additionally, in the exemplary embodiment, the current position of the ego vehicle 1 is detected, and based on this position, map data is provided that includes information about the road course. A fusion of the map data and the detected sensor data is performed, and from this, the actual road course in front of the ego vehicle 1 in the direction of travel is determined.

[0104] The ego vehicle 21 also records weather data using the recording unit 2. In the exemplary embodiment, a rain sensor and the camera are used for this purpose. In further exemplary embodiments, relevant weather data is retrieved from an external unit 10 based on the determined position of the ego vehicle 21, alternatively or additionally. Furthermore, data about the weather at the position of the ego vehicle 21 provided by an infrastructure or, for example, via radio stations can be recorded.

[0105] The recorded weather data includes information about rain and snow, both current and recent. This information is used to determine whether the road section ahead of the ego-vehicle 21 is wet or covered in snow. Furthermore, the weather data relates to the risk of ice. In particular, the current temperature of the air or the road surface is taken into account; if the temperature is below freezing or another threshold, the road is assumed to be icy. Other types of precipitation, such as hail or sleet, are also considered.

[0106] Furthermore, the detection unit records movement data of the ego vehicle 21, in particular its current speed and acceleration. In further embodiments, a speed and acceleration of the ego vehicle are also predicted at a later point in time, in particular for a predicted point in time at which the ego vehicle 21 enters a curve. In further embodiments, further data about the ego vehicle 21 are also recorded, in particular about the condition of its tires and the settings of its chassis, which affect the behavior of the ego vehicle when cornering.

[0107] Based on the detected road course, the evaluation unit 5 determines the radius of curvature of the curve ahead of the ego vehicle 21. In further embodiments, the radii of curvature of additional curves can also be determined, in particular to enable a more proactive driving style. Subsequently, the information about the speed of the ego vehicle 21 and the radius of curvature of the curve ahead of the ego vehicle 21 are used to determine a criticality value.

[0108] To determine criticality, the steering torque required for the ego vehicle 21 to negotiate the curve at the current or predicted speed is determined, in particular by the driver assistance system 6. The determined steering torque is compared with a threshold value defined in the driver assistance system 6 for a maximum steering torque for automatic assistance in maintaining lane 20b. If this threshold value is exceeded, the driver assistance system 6 cannot automatically intervene with a sufficiently large steering torque to enable the ego vehicle 21 to negotiate the curve safely. This means that the driver of the ego vehicle 21 must intervene in the control of the ego vehicle 21 by applying an additional steering torque and / or reduce the speed of the ego vehicle 21 by decelerating it.

[0109] In further embodiments, it is alternatively or additionally determined whether the ego vehicle 1 can physically negotiate the curve safely at the detected or predicted speed. If it is determined that this is not possible or is associated with risks, this is defined as a higher criticality. In particular, the physically possible force transmission between the tires of the ego vehicle 1 and the road surface is taken into account. At a higher criticality, for example, braking of the ego vehicle 1 or selecting a larger curve radius is required.

[0110] In the exemplary embodiment, various driver assistance modules of the driver assistance system 6 can be activated, thereby achieving various degrees of automation. For example, the driver can select a low level of automation, in which the longitudinal and lateral control of the ego vehicle 1 is essentially manual. They can activate modules that issue warnings or recommendations for the control; this corresponds to a low level of automation. Furthermore, they can activate modules that perform individual tasks of the longitudinal and lateral control; this corresponds to a higher level of automation. Furthermore, the driver can activate driver assistance modules that automatically support both the longitudinal and lateral control; this corresponds to an even higher level of automation.The threshold value for the steering torque that a driver assistance module can apply for lateral control may depend on the specific module or the driver assistance system 6.

[0111] During the journey, the control unit 3 generates a driver information display, which is output by the display unit 4. An embodiment of such a display is shown by way of example in Figure 3 shown.

[0112] The driver information display comprises an ego object 31, which is configured as a perspective view of the ego vehicle 21 from behind, from a slightly elevated virtual position, such that an area in front of the ego vehicle 21 can also be displayed. The display further comprises a lane object 30, which is arranged such that the ego object 31 is displayed thereon. The lane object 30 represents the lane 20b on the roadway 20 currently actually traveled by the ego vehicle 21.

[0113] In further embodiments, further graphic objects are displayed for further and in particular adjacent lanes, which are designed, for example, analogously to the lane object 30 shown.

[0114] In the exemplary embodiment, the lane object 30 is delimited by a dashed left lane marking 30a and a solid right lane marking 30b. The marking types shown correspond to the markings actually present on the lane 20a according to the previously determined demarcation marking classes. In further exemplary embodiments, the lane markings can be formed based on other criteria, for example, to symbolize whether a lane change toward a lane marking is permitted and possible.

[0115] The lane object 30 represents the recorded course of the physical lane 20b on which the ego vehicle 21 is currently located. A curve located in front of the ego vehicle 21 is represented by a curve region 32 of the lane object 30. This curve is geometrically formed to reflect the actual radius of curvature of the curve in the perspective view.

[0116] The lane object 30 is formed with the curve area 32 depending on the criticality determined for the curve. In the exemplary embodiment, the lane markings 32a, 32b, which laterally delimit the displayed lane in the curve area 32, are designed to alert the driver to the need for manual intervention. This is achieved here by displaying them in a specific color, such as red, if the value of the determined criticality exceeds a threshold. In the exemplary embodiment, the lane markings 32a, 32b in the curve area 32 are then no longer formed to reflect the actual markings on the lane 20b, but are displayed as solid lines to alert the driver to their significance in the curve.

[0117] In further embodiments, the lane object 30 has highlighting features other than the color of the lane markings 32a, 32b in the curve region 32, such as a color of the surface of the displayed lane 32, so that the highlighting occurs over a large area. In further embodiments, other representations can be generated depending on the criticality value, for example, with other colors determined based on the criticality value and a scale. Furthermore, dynamic representations can be generated, such as with flashing objects.

[0118] In the exemplary embodiment, the driver information display further includes representations of traffic signs 33a, 33b, which signal a speed limit and a no-overtaking zone in the area of ​​the curve. These traffic signs 33a, 33b can also be displayed in the area of ​​the lane object 30 so that they appear on its surface, or they can be displayed like actual traffic signs 25 at the edge of the lane object 30. In the exemplary embodiment, the traffic signs 33a, 33b correspond to a traffic sign 25 actually arranged at the edge of the roadway 20; however, in further exemplary embodiments, traffic signs can also be generated based on driving recommendations from the driver assistance system 6, for example, if a certain maximum speed has been determined for safely negotiating a curve or if the area of ​​the curve is assessed as unsafe for overtaking.

[0119] In further embodiments, depending on the criticality, acoustic and / or haptic warning messages can also be issued. Furthermore, other visual warning messages can be displayed, for example, using a warning symbol.

[0120] In a further embodiment, the driver assistance system 6 is configured to determine whether a speed is reached upon entering the curve that allows safe negotiation of the curve. If the driver does not initiate appropriate measures despite the highlighting of the curve section 32 in the driver information display, safety measures can be automatically initiated to bring the ego vehicle 1, 21 into a safe state. For example, braking can be performed to bring the ego vehicle 1, 21 to a safe speed.

[0121] In the exemplary embodiment, it is further provided that the graphic representation of the ego-vehicle 31 in the driver information display is arranged at a fixed position. The representation therefore corresponds to a perspective from a point fixed relative to the ego-vehicle 21, in particular from a position of the driver or a position arranged above the ego-vehicle 21. The representation is generated such that, during travel, a movement is represented such that other objects presenting the surroundings of the ego-vehicle 21 move relative to the represented ego-object 31. For example, it is represented that the lane markings 30A, 30B move relative to the ego-object 31 and that the arrangement of the lane object 30 also changes relative to the ego-object 31.For example, the lane object 30 changes while driving through the curve in such a way that its curvature is displayed in a variable manner and the lane object 30 runs completely straight again at the exit of the curved area or with a changed, detected radius of curvature.

[0122] In a further embodiment, other road users are detected and displayed as road user objects in the driver information display. The road user objects are displayed relative to the ego object 31 such that the physical position and speed of the associated road users can be determined from the display. The road user objects are also displayed rotated according to the course of the road, so that they are visible, for example, from an oblique side view when driving through an area of ​​the road that is curved relative to the orientation of the ego vehicle 21.

[0123] In a further embodiment, the display unit 4 comprises a head-up display, and at least the lane object 30 of the driver information display is displayed in this way. In particular, it can be displayed in such a way that it appears superimposed on the lane 20b actually perceived from the driver's position. The curve area 32 is then highlighted so that the driver can assess the criticality of the area ahead and recognize that a manual reduction in speed or an additional application of steering torque is necessary to safely negotiate the curve.

[0124] A further embodiment of a driver information display, which is formed and output in the method taking weather data into account, is described below with reference to the Figures 4A, 4B and 4C The display is similar to the one above with reference to Figure 3explained in the display. Therefore, only additional features are explained. Comparable objects are designated by the same reference numerals.

[0125] In this exemplary embodiment, the driver information display further includes graphic elements 40a, 40b for adjacent lanes. These are positioned laterally next to the lane object 30, on which the ego object 31 is arranged, and, viewed in perspective, continue the lane to the side. In this exemplary embodiment, only lane markings 30a, 30b are displayed at the edges of the lane object 30 for the vehicle's own lane 20b. The displayed marking types also correspond to the markings actually present on the lane 20 according to the previously determined demarcation marking classes.

[0126] In the Figure 4AIn the case shown, it was detected that the road surface was dry. The driving objects 30, 40a, and 40b are displayed without any structuring, for example, uniformly black or gray.

[0127] In the Figure 4BIn the case shown, it was detected that the surface of the roadway is wet. The graphic objects for displaying the user's own lane 30 as well as the adjacent lanes on the left 30a and right 30b are displayed with a pattern which, in the example, represents raindrops. In other exemplary embodiments, other structures can be displayed; furthermore, dynamic representations, such as moving structures in the area of ​​the graphic objects 30, 40a, 40b, are also conceivable. In a further exemplary embodiment, other objects are also displayed, such as other road users whose mirror images are displayed on the roadway displayed as wet rain. Furthermore, spray can be displayed in the area of ​​road user objects that move across the roadway.

[0128] In the Figure 4C In the case shown, it was detected that the road surface was at least partially covered with snow. Analogous to the case shown in Figure 4BIn the case shown, the objects for lanes 30, 30a, and 30b are also displayed in a structured manner, showing a pattern of a snow surface. Other structures and dynamic representations are also conceivable here.

[0129] In further embodiments, the graphical objects for lanes 30, 40a, 40b are displayed in such a way that other features of their surface are represented. These can be, for example, dirt, oil, or markings on the roadway.

[0130] With reference to the Figures 5A to 5D Further displays are explained that can be generated and output using the method taking into account different types of road markings. Here, too, the above-mentioned reference to Figure 1 explained driver information system and the objects are, as far as possible, designated with the reference symbols already used above.

[0131] In the Figure 5AIn the case shown, no lane markings were detected on the roadway 20. Only the ego object 31, which represents the ego vehicle 21, is displayed, as well as a lane object 30, which is shown in uniform gray in the exemplary embodiment. Other representations are possible in further exemplary embodiments, but the display is configured such that no objects comparable to a lane marking are shown. The driver can infer from this display that the ego vehicle 21 is traveling without orientation based on detected lane markings, so that, for example, driver assistance systems for lateral control can only be used to a limited extent or not at all.

[0132] In the Figure 5BIn the case shown, it was detected that lane 20b, on which the ego vehicle 21 is located, is bordered on the left and right by lane markings. These were assigned to the demarcation marking classes "dashed lane marking" and "solid lane marking," respectively. Furthermore, adjacent lanes were detected. In addition to the ego object 31 and the lane object 30, which represents the currently used lane 20b, the driver information display also includes graphic objects for the adjacent lanes 40a to the left and 40b to the right, as well as lane markings 30a, 30b, which are formed according to the detected demarcation marking classes and reflect the essential characteristics, i.e., the dashed or solid design, corresponding to the actual lane markings.

[0133] In the Figure 5C In the case shown it was recognized that - unlike in the case Figure 5BIn the case shown, the own lane 20b of the ego vehicle 21 is not bordered by a right lane marking. Instead, a transition from the roadway to a shoulder area was detected. In the driver information display, this is indicated in contrast to the Figure 5B shown case in that the graphic object 40b for the right adjacent lane represents a shoulder area that borders the lane object 30 with the ego object 31.

[0134] The Figure 5D The case shown differs from that of the Figure 5B by the fact that the current lane 20b of the ego vehicle 21 is bordered on the right by a curb. This is indicated in the driver information display by a graphical demarcation object 30b representing a curb being displayed to the right of the lane object 30.

[0135] In further embodiments, road markings may also include guardrails, vegetation or peripheral development, or other demarcation markings and structures according to the various demarcation marking classes.

[0136] With reference to the Figures 6A to 6C Further displays are explained that can be generated and output during the procedure for a planned lane change. Here, too, the above-mentioned Figure 1 explained driver information system and the objects are, as far as possible, designated with the reference symbols already used above.

[0137] The Figures 6A to 6Ceach comprise an ego-object 31, which represents the ego-vehicle 21. This is shown statically and always arranged at the same position within the driver information display. The movement of the ego-vehicle 21 is represented by the represented environment moving relative to the ego-object 31 as it appears from the coordinate system of the ego-vehicle 21. In particular, structures of the roadway move relative to the static ego-object 31, including curved areas and road markings 30a, 30b, corresponding to the actual movement of the ego-vehicle 21 on the roadway 20.

[0138] The display is perspectively formed from a position slightly behind and above the virtual ego object 31. The display includes a lane object 30, which represents the currently used lane 20b of the ego vehicle 21, as well as neighboring lane objects 40a, 40b for neighboring lanes 20a.

[0139] In all cases, a preceding vehicle 23 was also detected, which is now represented by a road user object 61, which is positioned in front of the ego object 31 in the display. The display is generated such that the displayed distance between the ego object 31 and the object of the preceding vehicle 61 represents the actual distance between the vehicles. This means that the driver can determine the actual distance and, in particular, perceive changes based on the display.

[0140] The other road user is represented by the virtual road user object 61 in such a way that essential representation-relevant features of its real appearance are reproduced in the display. In the exemplary embodiment, the vehicle type and color of the other road user 23 are recorded for this purpose. Recording is performed using a camera of the ego vehicle 1. In further exemplary embodiments, alternatively or additionally, a data connection to the other road user 23 is established, in particular using car-to-car communication. The graphical road user object 61 assigned to the preceding road user 23 is then formed in such a way that the display correctly reproduces the vehicle type and color.In other embodiments, alternatively or additionally, other features of the preceding vehicle 23 can be reproduced in the representation of the corresponding graphical road user object 63.

[0141] The Figures 6A to 6C further comprise a horizontal line arranged in front of the ego object 31 on the lane object 30, which represents a set minimum distance of the ego vehicle 21 from the preceding vehicle 23.

[0142] In the Figure 6A In the case shown, it was detected that the current lane 20b is bordered on the right by a solid line and on the left by a broken line. The detected lane markings were assigned to corresponding demarcation marking classes, and the demarcation markings are represented by representations of corresponding lane markings 30a, 30b.

[0143] Furthermore, another road user was detected in a left-adjacent lane, located approximately at the same height as the ego vehicle 21. The display includes a corresponding graphical road user object 62 on a left-adjacent lane object 40a, which reflects the actual arrangement of the vehicles. In this driving situation, it was determined that the ego vehicle 21 cannot safely change into the left-adjacent lane. The left-adjacent lane object 40a is therefore not highlighted but colored uniformly gray.

[0144] In the Figure 6BIn the case shown, another road user was also detected in an adjacent lane, but this time in the right-adjacent lane. The driver information display therefore includes a road user object 63 in the area of ​​the right-adjacent lane object 40b. It was determined that a lane change to the left-adjacent lane can be carried out safely. The left-adjacent lane object 40a is therefore highlighted. In these and other embodiments, various highlighting options can be used, for example, by means of hatching, color, brightness, or a dynamic effect, such as flashing.

[0145] In the Figure 6C The case shown was based on the above-mentioned Figure 6Bexplained case, it is further detected that the driver of the ego vehicle 21 has activated a left turn signal. This signals that he intends to change lanes to the left. The ego object 31 is displayed with a flashing light. Since the lane change to the left can be carried out safely in the driving situation shown, in addition to highlighting the left neighboring lane object 40a, an arrow 65 is displayed as a signal object 65. This case is particularly colored green. In further embodiments, the color may depend on whether the lane change can be carried out safely; the arrow 65 may, for example, be colored red if this is not the case. Furthermore, the signal object 65 may also be designed differently, for example in the manner of a running light or with a different symbol.

[0146] In the Figure 6CIn the case shown, it was also detected that the adjacent lane to the left is bordered by a solid line to the left. Furthermore, the current lane 20b of the ego vehicle 21 is now bordered by a solid line to the right. These lane markings are displayed accordingly in Figure 6C displayed using demarcation objects 30a, 30b, 66.

[0147] In further embodiments, it is detected that the other road user 23 is planning a specific driving maneuver. For this purpose, light signals from a turn signal are evaluated or information is received via a car-to-car connection. A driving maneuver object is displayed at the road user object 61, signaling that the preceding vehicle 23 is planning, for example, a lane change.

[0148] With reference to the Figures 7A to 7CFurther information is explained which can be generated and displayed during the procedure, taking into account any impending oncoming traffic. Here, too, the above-mentioned reference to Figure 1 explained driver information system and the objects are, as far as possible, designated with the reference symbols already used above.

[0149] In the Figure 7A In the case shown, no oncoming traffic was detected in the lane of the ego vehicle 21 or in the adjacent lanes. In this case, the representation includes the lane object 30 and the adjacent lane objects 40a, 40b to the right and left. Furthermore, an ego object 31 and a preceding vehicle 23 are represented by a road user object 61.

[0150] In the Figures 7B and 7CIn the cases shown, it was recognized that oncoming traffic is to be expected on lane 20a, which is located to the left of the current lane of the ego vehicle 21. The representations differ from the one shown above with reference to Figure 7A The representation shown is represented by a graphical oncoming traffic warning object 71, 72 arranged on the adjacent lane object 40a. The representation is particularly similar to a road marking applied to the road surface.

[0151] In the exemplary embodiment, the oncoming traffic warning object 71, 72 moves with the ego object 31. In further exemplary embodiments, the oncoming traffic warning object 71, 72 can be static in the coordinate system of the displayed road surface, so that the ego object 31 appears to move past the oncoming traffic warning object 71, 72. In this case, the oncoming traffic warning object 71, 72 can appear repeatedly in multiple versions, for example, at periodic intervals, as long as oncoming traffic is expected in the adjacent lane 20a.

[0152] In further embodiments, an oncoming road user object is alternatively or additionally displayed in the area of ​​a lane object if it has been determined that oncoming traffic is to be expected in the lane. The oncoming road user object can be configured to represent an actual oncoming road user. Furthermore, it can be displayed even if no other road user has been detected in order to warn the driver of the potential occurrence of oncoming traffic. The display of the oncoming road user object can differ depending on whether it represents an actually detected road user or whether it is only displayed as a warning.

[0153] With reference to the Figures 8A to 8CDifferent representations of the ego object in the driver information display are explained, which can be generated and output in the process. Here, too, the above-mentioned reference to Figure 1 explained driver information system and the objects are, as far as possible, designated with the reference symbols already used above.

[0154] In the exemplary embodiment, states of the lighting system 7 of the ego vehicle 1 are detected, and the representation of the ego object 31 in the driver information display is formed such that it reflects the states of various elements of the lighting device 7. For example, rear lights and headlights can be displayed illuminated or unlit according to the detected states.

[0155] The ego object 31 comprises a representation of the ego vehicle 1 from a perspective in the direction of travel, so that the rear of the vehicle is visible. The figures only show a section, which in particular shows the essential elements of the ego vehicle's lighting system 7 visible from this perspective.

[0156] In the Figure 8A In the case shown, direction indicators 80 are highlighted on both sides, in particular by increased brightness and a yellow color. This is the case, for example, when a hazard warning light is activated. In the exemplary embodiment, the display is dynamically configured such that a periodically recurring switching on and off of the direction indicators 80 is output, in particular as the lighting device 7 of the ego vehicle 1 actually performs.

[0157] In further embodiments, activation of a single direction indicator 80 is shown, for example a flashing light.

[0158] In the Figure 8B In the case shown, the lights of a brake light 81 are highlighted, in particular by increased brightness and a red color. Analogously, in the case shown in Figure 8C In the case shown, the rear lights 82 are highlighted, here by increased brightness and a white color.

[0159] Similarly, in further embodiments, other lights can be displayed, such as a rear fog light or a marker light. Furthermore, various combinations of lights can be highlighted. In another embodiment, actual illumination is also recorded, whereby malfunctions, for example, are also detected. The display can then be adapted to the actually detected illumination.

[0160] In further embodiments, an operating state of a forward-facing headlight of the ego vehicle is detected, such as a low beam, high beam, parking light, fog light, daytime running light, or wide-beam headlight. In particular, brightness, color, beam range, and / or intensity distribution are detected. The ego object is formed based on the detected operating state, analogous to the representations explained above.

[0161] Furthermore, the representation can comprise further graphic objects in an environment of the ego-object 31, and these are formed in particular depending on the detected operating state of the lighting device. For example, a lane object 30 is displayed with a specific texture and / or brightness distribution, wherein the light distribution generated by the lighting device 7 on the roadway 20, in particular in the area in front of the ego-vehicle 21, is displayed. Other road users can also be displayed depending on whether and in what manner they are illuminated by the lighting device 7. The representation is generated in such a way that a luminous range and a width of the light distribution can be detected from the representation, wherein in particular the luminous range and / or intensity depend on an angle relative to the direction of travel of the ego-vehicle 21.

[0162] In this case, the actual illumination of physical objects can be detected by sensors of the detection unit 2 and / or a physical model can be used to determine the illumination of objects by the lighting device 7. In particular, the influence of the lighting system on the appearance of the surroundings is reproduced as realistically as possible.

[0163] With reference to Figure 9 An embodiment of a driver information display with a trailer object generated using the method is explained. Here, too, the above-mentioned reference to Figure 1 explained driver information system and the objects are, as far as possible, designated with the reference symbols already used above.

[0164] In the exemplary embodiment, an operating state of the trailer coupling 8 of the ego vehicle 1 is detected. If it is detected that a device is attached to the trailer coupling, the ego object 31 is formed in combination with a graphical trailer object 90.

[0165] The display is such that the ego object 31 with the graphic trailer representation is displayed in perspective from behind so that a road section of the road object 30 lying in front of the ego object 31 in the display is visible.

[0166] The trailer representation can vary depending on the type of trailer object, for example, its size, shape, and color. In particular, the graphical trailer representation provides a simplified schematic representation of the actual trailer object.

[0167] In the exemplary embodiment, the driver information display further comprises a road user object 61 representing a preceding vehicle 23, a lane object 30 representing the current lane 20b of the ego vehicle 1, and neighboring lane objects 40a, 40b for adjacent lanes 20a. Furthermore, the lane markings are represented by demarcation marking objects 30a, 30b.

[0168] With reference to the Figures 10A and 10B Embodiments of driver information displays for various automation levels are explained. The above-described embodiments are used as a starting point.

[0169] In addition to surroundings, the driver information displays include other familiar information elements. These include, for example, elements that display the current speed, current gear, fuel consumption, or music track. Driving instructions from a navigation system are also provided.

[0170] In the case of Figure 10AIt was detected that the driver assistance system 6 is operating at a lower automation level. Therefore, a reduced representation of the surroundings is output. In the exemplary embodiment, a longitudinal control of the ego vehicle 1 is activated, in which the driving speed is controlled such that a certain minimum distance to road users ahead is maintained and overtaking on the right is avoided. In further exemplary embodiments, driver assistance modules are activated such that the lateral control of the ego vehicle 1 is supported instead of the longitudinal control. The reduced representation of the surroundings is output at an automation level in which control is supported either in the longitudinal or the transverse direction.

[0171] The driver information display of the Figure 10Acomprises an environment representation with an ego object 101a for the ego vehicle 1, a road user object 102 for a preceding vehicle, and another road user object 103 for another vehicle in a left-adjacent lane 20a. The current lane 20b, in which the ego vehicle 1 is located, is bordered on the left and right by lane markings 106a, 106b. At a specific distance in front of the ego object 101a, a distance object 105 is displayed, which represents a set safety distance to preceding road users.

[0172] The ego-object 101a is depicted here in such a way that it is not fully recognizable. The depicted perspective is taken from a virtual point above and behind the ego-vehicle 1, so that part of the ego-vehicle 1 and part of the existing roadway are depicted. The lanes behind the lanes are only indicated and not shown in their full width.

[0173] In the driver information display, road user object 102 for the vehicle ahead is displayed as the control object for speed and distance control. Furthermore, the additional road user object 103 for the vehicle in the adjacent left lane is displayed as the control object for preventing overtaking on the right. Other road users are not displayed here unless they are directly relevant to the automatic control of the journey.

[0174] The road section shown in front of the ego object 101a is output with a straight course.

[0175] In the Figure 10B In the case shown, the driver information display differs from the case explained above of the Figure 10Aby displaying the surroundings. It was detected that driver assistance system 6 is operating at a higher level of automation, actively and automatically intervening in both the longitudinal and lateral control of ego vehicle 1. Therefore, an expanded display is shown.

[0176] The surroundings display encompasses a larger area of ​​the surroundings; in particular, the adjacent lanes to the left and right are displayed in their full width. Furthermore, another road user object 104 is displayed, representing another road user who, however, does not serve as a control object for the driver information system 6. This means that the driver information display also includes those road users who are not directly used for automatic driving support by the driver assistance system 6. The lane markings 107a, 107b displayed in the driver information display are shown here as dashed lines or solid lines.

[0177] The road course displayed in front of the ego-object 101b represents a curved road, with the curvature corresponding to an actual road course determined by sensors of the ego-vehicle 1 and based on map data. The output in the extended display is dynamic, meaning that a movement of the road relative to the statically displayed ego-object 101b is displayed, whereby the curvature can also change according to the actual conditions.

[0178] In one embodiment, an animated transition between the reduced view of the Figure 10A and the extended view of the Figure 10Bdisplayed after a user input to switch between different automation levels has been detected. In this case, switching occurs from a lower to a higher automation level. In particular, switching between automation levels occurs by pressing a button on the steering wheel or a brake pedal.

[0179] During the animated transition, the perspective of the display is shifted so that the ego object 101a appears to move forward, so that a larger part of the display of the ego vehicle 1 becomes visible. Upon reaching the extended display of the Figure 10B The ego object 101b is displayed entirely in a rear-view view. Simultaneously with the shift in perspective, other objects in the surrounding area are also displayed, meaning the radius or maximum distance of the other displayed objects increases, as does the number of other objects.

[0180] With reference to the Figures 11A to 11D Examples of driver information displays with unclassified and classified other road users are explained. This is based on the other examples explained above.

[0181] In the cases of Figure 11A and Figure 11B An extended environment representation includes a rear view of an ego-object 111 representing the ego-vehicle 1, a road user object 112 for a vehicle traveling ahead, and another road user object 114 for another vehicle located to the right of the ego-vehicle 1. The other road users were recorded and assigned to a specific road user class, identified in this case as a car. They are displayed in such a way that the driver can see from the driver information display that they are each a car.

[0182] In further embodiments, additional characteristics of other road users are detected, such as their color, vehicle type, or the status of a lighting system. The representation of road user objects 112, 114 is based on the detected characteristics, resulting in a more detailed and realistic representation of the road users.

[0183] The representation further includes a generic road user object 113a, 113b, which represents another road user to the left of the ego vehicle 1. This additional road user has not yet been precisely identified and could only be assigned to a generic road user class. The exemplary embodiment involves an overtaking road user, for whom radar sensors in the rear and side areas of the ego vehicle 1 only detected its position relative to the ego vehicle 1; however, no data from a camera of the ego vehicle 1 could yet be acquired, which would allow a more precise categorization and assignment to a specific road user class.

[0184] In the Figure 11A In the case shown, the generic road user object 113a is represented as a cuboid with rounded edges or as a similar three-dimensional shape. Figure 11BIn the case shown, the generic road user object 113b is represented as a hatched area. The generic road user object 113a, 113b is each represented in such a way that the position of the assigned road user relative to the ego vehicle 1 can be detected.

[0185] In a further embodiment, the generic road user object 113a, 113b has a length extension in the direction of travel. Since the length of another road user approaching the ego vehicle 1 from behind is typically not detected by sensors of the ego vehicle 1, the generic road user object 113a, 113b is depicted as increasing in its length as it passes the ego vehicle 1. This means that in the depiction, the generic road user object 113a, 113b grows in length during the overtaking maneuver until it is detected that the end of the other road user has been reached.

[0186] If the overtaking road user, to whom the generic road user object 113a, 113b is assigned in the Figures 11A and 11B If a vehicle has passed ego-vehicle 1 to the extent that it enters the detection range of a camera capturing the area in front of ego-vehicle 1, it is assigned to a specific road user class. This means, for example, that it is a car of a certain type and of a certain color.

[0187] In the Figure 11C In the case shown, such a classification was performed for another road user in the adjacent lane to the left, and a specific road user object 113c is displayed at its position, which has characteristics of the actual appearance of the other road user. A view of the other road user is displayed according to the assigned road user class.

[0188] When transitioning from one of the representations of the Figures 11A or 11B to the representation of the Figure 11C a change from a generic road user object 113a, 113b to the specific road user object 113c is graphically displayed in a manner known per se, for example by blending, Crossfading, Morphing, Partial or complete replacement of the displayed elements or by "growing" the specific road user object 113c from a generic road user object 113a, 113b.

[0189] The process by which the above-mentioned displays are generated is described with reference to Figure 11D explained in more detail using a specific traffic situation.

[0190] An ego vehicle 116 moves along a lane in a direction of travel 115, which is indicated by an arrow 115. Furthermore, another road user 117 moves in an adjacent lane, also in the direction of travel 115, and approaches the ego vehicle 116 from behind.

[0191] The ego vehicle 115 comprises sensors, each having a detection area 118, 119, namely a rear detection area 118 extending into the area behind the rear of the ego vehicle 115, and a front detection area 119 extending into the area in front of the front of the ego vehicle 115.

[0192] At the Figure 11D In the driving situation shown, the other road user 117 is about to drive past the ego vehicle 116, that is, it is moving at a higher speed and is about to drive out of the rear detection area 118 and into the front detection area 119.

[0193] In the exemplary embodiment, data is acquired by a radar sensor in the rear detection area 118. This data allows the detection of the other road user 117, as well as its position and distance relative to the ego vehicle 116, and its relative speed. Furthermore, in the exemplary embodiment, image data is acquired by a camera in the front detection area 119. This also allows the detection of the other road user 117, as well as its position and distance relative to the ego vehicle 116; furthermore, its relative speed can be determined.

[0194] The image data captured in the front detection area 119 can also be used to determine the vehicle type. In particular, after the other road user 117 has been captured in the front detection area 119, the vehicle's color, vehicle class, manufacturer, and model are determined.

[0195] In the exemplary embodiment, when the additional road user 117 is detected in the rear detection zone 118, a generic road user class is determined. In this example, this class includes all vehicles. After the additional road user 117 enters the front detection zone 119, a specific road user class is determined, which includes, for example, all passenger cars or all compact vehicles of a specific brand.

[0196] In the embodiment, one of the Figures 11A and 11B shown representations are generated as long as the other road user 117 was only detected by the radar sensor with the rear detection range 118. When the other road user 117 enters the front detection range 119 of the camera, an animated transition to the display of the Figure 11C This involves a known "Morphing"-Method is used to represent an animated change of the generic road user object 113a, 113b to the specific road user object 113c.

[0197] With reference to the Figures 12A and 12B Embodiments of driver information displays during a follow-up journey of the ego vehicle are explained. This is again based on the other embodiments explained above.

[0198] The displayed displays are generated when another road user 23 is detected traveling ahead on a section of roadway located in front of the ego vehicle 1 in the direction of travel. The lane being traveled in is represented in the displays as a lane object 30. The displays further comprise an ego object 121, which represents the ego vehicle 1, and a road user object 120, which represents the vehicle 23 traveling ahead. The displayed distance between the ego object 121 and the road user object 120 is formed according to a detected actual distance between the ego vehicle 1 and the vehicle 23 traveling ahead, i.e., the quantitative value of the distance can be derived from the displays. The arrangement of the geographical objects 120, 121 relative to one another and relative to the graphical representation of the lane corresponds to the physical conditions.

[0199] The driver assistance system 6 is activated by a driver assistance module that partially and automatically intervenes in the lateral control of the ego vehicle 1. In particular, the steering is intervened by applying a steering torque to keep the ego vehicle 1 in the lane.

[0200] In the exemplary embodiment, no lane markings were detected at the edges of the currently traveled lane. Since orientation based on lane markings is not possible, a follow-up drive is performed, in which a target trajectory of the ego vehicle 1 is controlled, particularly with regard to the lateral offset of the ego vehicle 1 on the currently traveled lane. The lateral offset refers to the position in a direction transverse to the direction of travel. This means that the target trajectory of the ego vehicle 1 is formed such that it follows a detected trajectory of the preceding vehicle 23.

[0201] The target trajectory of the ego vehicle 1 is output by means of a trajectory object 122a, 122b, which in the exemplary embodiment extends from the ego object 121 to the road user object 120. In the Figure 12A In the case shown, the trajectory object 122a is displayed as a wide line with highlighted edges. Figure 12B In the case shown, however, the trajectory object 122b is represented as a narrower line. Other representations are also conceivable.

[0202] In further embodiments, an intention to perform a lane change with the ego vehicle 1 is detected. For example, it is detected that the driver activates a turn signal or that an automatic lane change is to be initiated. In this case, a driver assistance module can check based on environmental data whether the lane change can be carried out safely. In particular, the positions of other road users are analyzed and the lane change is recognized as safe if there is no risk of collision. The target trajectory is then generated in such a way that it guides the ego vehicle into the adjacent lane. The trajectory object 122a, 122b can then be analogous to the Figures 12A and 12B shown cases from a virtual front of the ego object 121 to the adjacent lane.

[0203] With reference to the Figures 13A to 13DExamples of driver information displays for setting a control distance are explained. This is based on the other examples explained above.

[0204] In the Figures 13A and 13B In the cases shown, a lane object 30 is displayed, which represents the roadway on which the ego vehicle 1 is moving. This lane object is delimited in the display by lane markings on the right 30b and left 30a at the edges of the current lane of the ego vehicle 1. The display further includes an ego object 131, which represents the ego vehicle 1. In addition, other road users 132, 133, 134 are displayed, in particular a vehicle 132 traveling ahead and other road users 133, 134 in adjacent lanes.

[0205] In the direction of travel, at a certain distance in front of the ego-object 131, a distance object 135 formed as a line is displayed transversely to the direction of travel, essentially across the width of the current lane of the ego-object 131. Based on the distance between the ego-object 131 and the distance object 135, this distance indicates a safety distance between the ego-vehicle 1 and another road user traveling ahead, for the maintenance of which the driver assistance system 6 of the ego-vehicle 1 intervenes at least partially automatically in the vehicle control.

[0206] The driving situations in which the representations of the Figures 13A and 13B are generated, differ in that the ego vehicle 1 in the case of the Figure 13A moves at a slower speed than in the case of the Figure 13B This means that the safety distance to be maintained from another road user in front is, in the case of Figure 13B larger than Figure 13A. Accordingly, the road user object 132 for the other road user traveling ahead is shown at a greater distance from the ego object 131, and the distance object 135 is also shown at a greater distance from the ego object 131.

[0207] In the exemplary embodiment, the safety distance to be maintained by the driver assistance system 6 is set by a parameter to which a specific time interval is assigned. The length of the safety distance is determined depending on this time interval and the current speed of the ego vehicle 1. For this purpose, in particular, the formula s = v * t used, where s is the length of the safety distance, v is the current speed of the ego vehicle 1 and t is the time interval specified by the parameter.

[0208] In the cases of Figures 13C and 13DAn actuation of a setting element in the ego vehicle 1 was detected. This is, for example, encompassed by the detection unit 2 or coupled to it. In the exemplary embodiment, it is a push-button switch; alternatively or additionally, another input device, such as a wheel or a slider, can also be provided. This actuation changes the set parameter of the driver assistance system 6.

[0209] This change results in the position of the distance object 135 being changed relative to the ego object 131. Since the exemplary embodiment provides for a step-by-step adjustment of the parameter, the distance object 135 jumps one step forward or backward when actuated, i.e., to a greater or smaller distance relative to the ego object 131 in the representation.

[0210] The representation in the Figures 13C and 13Dfurther comprises a distance setting object 136, which the driver can use to determine the potentially adjustable values ​​of the parameter. In the exemplary embodiment, colored lines or essentially rectangular areas are displayed on the lane object, which form a distance scale object 136. The distance object 135 functions as a distance pointer object, which, based on the distance scale object 136, displays the actually set value of the parameter. The driver can thus determine whether the set value of the parameter corresponds, for example, to the minimum or maximum adjustable value, or where the set value lies between these values.

[0211] The representations of the Figures 13C and 13D differ in turn by the speed of the ego vehicle 1, which in the case of the Figure 13D is greater than in the case of Figure 13C As already mentioned above with reference to the Figures 13A and 13B As explained, the safety distance corresponds to different lengths for different values ​​of the parameter depending on the speed. This proportionality affects the representation of the distance setting object 135 to a similar extent as it affects the arrangement of the distance object 135. In the exemplary embodiment, the representation of the distance setting object 136 is stretched in the direction of travel at higher speeds.

[0212] In further embodiments, the value of the parameter can be adjusted continuously or with a larger number of steps. The distance setting object 136 can be formed in another way, for example, with a color scale or another scale using a graphic display feature that varies along the longitudinal extent in the direction of travel.

[0213] The exemplary embodiments explained above illustrate necessary or optional features of the method according to the patent claims. The features explained in separate exemplary embodiments can be combined as desired, in particular to implement the invention in a comprehensive method or system. List of reference symbols

[0214] 1 Ego vehicle 2 Recording unit; sensor 3 Control unit 4 Display unit 5 Evaluation unit 6 Driver assistance system 7 Lighting device 8 Trailer hitch 10 External unit; external server 20 roadway 20a lane 20b lane 20c lane marking 21 ego-vehicle 22 arrow 23 vehicle ahead 24 oncoming vehicle 25 traffic sign 30 lane object 30a, 30b lane marking (image) 31 ego-vehicle (image) 32 curve area (image) 32a, 32b lane marking in curve area (image) 33a, 33b traffic sign (image) 40a, 40b adjacent lane (image) 61 road user object, vehicle ahead (image) 62, 63 road user object, vehicle in adjacent lane (image) 65 signal object, arrow 71, 72 oncoming traffic warning object 80 direction indicator 81 brake light 82 tail light 90 trailer object (image) 101a, 101b Ego object 102 Road user object;vehicle in front 103, 104 road user object 105 distance object 106a, 106b, 107a, 107b road marking (representation) 111 ego object 112 road user object; vehicle in front 113a, 113b generic road user object 113c specific road user object 114 road user object 115 arrow; direction of travel 116 ego vehicle 117 other road user 118 rear detection area 119 front detection area 120 road user object; vehicle in front 121 ego object 122a, 122b 131 ego object 132 road user object; vehicle in front 133, 134 road user object 135 distance object; distance pointer object 136 distance setting object; Distance scale object;

Claims

1. Method for operating a driver information system in an ego vehicle (1); in which a current speed of the ego vehicle (1) and a set parameter of an at least partially automatic longitudinal guidance function of a driver assistance system (6) are detected; and a driver information display is generated and output; wherein the driver information display comprises a graphical lane object (30) which represents the roadway located in front of the ego vehicle (1); wherein a distance scale object (136) and a distance indicator object (135) are arranged in the lane object (30); wherein the distance scale object (136) is formed such that positions thereof on the lane object (30) are associated with distances from the ego vehicle (1); wherein the distance scale object (136) and the distance indicator object (135) are formed on the basis of the current speed of the ego vehicle (1) and the distance indicator object (135) is arranged on the distance scale object (136) in such a way that the set parameter is output, characterized in that the graphical lane object (30) is formed such that it corresponds to a perspective view of a course of the roadway and has a radius of curvature such that an actual radius of curvature of the course of the roadway is output.

2. Method according to claim 1, characterized in that the distance scale object (136) is formed such that the associated distances from the ego vehicle (1) are proportional to the detected speed of the ego vehicle (1).

3. Method according to claim 1 or claim 2, characterized in that the parameter of the longitudinal guidance function can be set in a certain number of stages.

4. Method according to any of the preceding claims, characterized in that a user input is detected and the set parameter is changed based on the user input.

5. Method according to any of the preceding claims, characterized in that environment data in an environment of the ego vehicle (1) are acquired; another road user is identified on the basis of the acquired environment data; the driver information display comprises a graphical road user object (132) which represents the other road user; wherein a view-relevant feature of the other road user is determined; and the road user object (132) associated with the other road user is formed on the basis of the view-relevant feature.

6. Method according to any of the preceding claims, characterized in that environment data in an environment of the ego vehicle (1) are acquired; a demarcation marking on the roadway is determined on the basis of the acquired environment data; and a demarcation marking class is determined for the determined demarcation marking; wherein the driver information display comprises a graphical demarcation object (30a, 30b) formed on the basis of the determined demarcation marking class.

7. Method according to any of the preceding claims, characterized in that an operating state of the driver assistance system (6) of the ego vehicle (1) is detected; an automation stage is determined using the detected operating state of the driver assistance system (6); and the driver information display comprises a view of the environment of the ego vehicle (1), which is formed on the basis of the determined automation stage.

8. Driver information system in an ego vehicle (1), comprising a detection unit (2) which is configured to detect a current speed of the ego vehicle (1) and a set parameter of an at least partially automatic longitudinal guidance function of a driver assistance system (6); a control unit (3) which is configured to generate and output a driver information display; wherein the driver information display comprises a graphical lane object which represents the roadway located in front of the ego vehicle; wherein a distance scale object (136) and a distance indicator object (135) are arranged in the lane object; wherein the distance scale object (136) is formed such that positions thereof on the lane object (30) are associated with distances from the ego vehicle (1); wherein the control unit (3) is configured to form the distance scale object (136) and the distance indicator object (135) on the basis of the current speed of the ego vehicle (1) and to arrange the distance indicator object (135) on the distance scale object (136) so that the set parameter is output, characterized in that the control unit (3) is configured to generate and output the driver information display such that the graphic lane object (30) is formed such that it corresponds to a perspective view of a course of the roadway and has a radius of curvature such that an actual radius of curvature of the course of the roadway is output.

9. Driver information system according to claim 8, characterized in that the display unit (4) comprises a head-up display for outputting the driver information display.