Methods for monitoring performance while driving a route
Patent Information
- Application Number
- DE102023120381
- Authority / Receiving Office
- DE · DE
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2023-08-01
- Publication Date
- 2025-02-06
Smart Images

Figure 00000000_0000_ABST
Abstract
Description
The invention relates to a method for monitoring a performance when driving a route.Vehicle drivers are increasingly interested in being able to analyze their own performance with their motor vehicle. This is already known on racing tracks. One challenge in this case is to keep the effort required for such an analysis sufficiently low and, in addition, to keep the requirements imposed on a vehicle driver low, such that the latter can focus fully on driving.Proceeding from this, the object of the present invention is to overcome at least partially the disadvantages known from the prior art. The features according to the invention are evident from the independent claims, for which advantageous embodiments are shown in the dependent claims. The features of the claims can be combined in any technically expedient manner, wherein the explanations from the following description and features from the figures, which comprise supplementary configurations of the invention, can also be used for this purpose.The invention relates to a method for monitoring a performance when driving a route, wherein the method is carried out on an ego motor vehicle which comprises at least the following components:a drive train for propelling the ego motor vehicle;a steering device for controlling the direction of the ego motor vehicle;a sensor system for detecting sensor data relating to current processes in the ego motor vehicle;a geolocation determination device for determining geolocation data of the ego motor vehicle;a computing device for processing acquired sensor data of thesensor system and detected geolocation data of the geolocation determination device; anda human-machine interface which is connected to the computing device in a communicating manner and permits interactions between an interested party and the computing device,wherein the method comprises at least the following steps in the order mentioned: a. by means of the computing device, providing a first input option for an interested party to start a recording of at least one selection of current sensor data when driving a route; and to a perception of the first input option, b. by means of the computing device, setting a geolocalized starting point and starting to record the selection of current sensor data linked to the simultaneous geolocation data; c. by means of the computing device, providing a second input option for an interested party to end the recording of current sensor data started in step b; and to a perception of the second input option, d. by means of the computing device, setting a geolocalized ending point and ending the current recording; e. by means of the computing device with the aid of the current geolocation data of the geolocation determination device, monitoring the current position and direction of travel of the ego motor vehicle; and as soon as the ego motor vehicle reaches the geolocalized starting point of the relevant route in the same direction of travel as in the relevant record, f. by means of the computing device, beginning a renewed record until the end point of the previous record or another predetermined termination condition is reached, wherein an access option for an interested party to the at least one terminated record is provided by means of the computing device.Ordinal numbers used in the preceding and following description, unless expressly stated to the contrary, serve only for the clear distinguishability and do not represent an order or ranking of the designated components. An ordinal number greater than one does not require that a further such component must necessarily be present.The method proposed here allows route-related recording of sensor data, from which conclusions can be drawn about the performance of the motor vehicle or of the vehicle driver. It should be noted that in one embodiment (for example, within the scope of a training program or a friend group), the party of interest is not necessarily (exclusively) the vehicle driver. For example, the vehicle driver wants to share his record (for example, for viewing or even analysis) with another person. In an advantageous embodiment, the method is carried out for the vehicle driver and the human-machine interface is arranged in the relevant (ego) motor vehicle.The ego motor vehicle is the vehicle which travels the route to be recorded. The ego motor vehicle is, for example, a passenger car, preferably a road sport car.The drive train is to be regarded here as a comprehensive term for the systems for propelling the ego motor vehicle, that is to say comprising at least one propulsion wheel, at least one (preferably two separate) brake device(s), drive machine (for example an internal combustion engine and / or an electric drive machine) and optionally a transmission and separating clutch. This list is by far not exhaustive in most applications and is used purely for orientation.The steering device is provided for controlling (the yaw angle) the ego motor vehicle and nowadays usually assists a steering wheel on the driver side and a steering gear on the wheel side, often with the so-called servo steering by means of an assist motor for high steering torques. A variant which is also more frequently occurring is a wired steering system, in which only steering signals are passed on from the vehicle driver to a wheel-side steering actuator system. It is also usual to provide a joystick or control horn on the driver side.Nowadays, the sensor system is already installed in motor vehicles with a large number of individual sensors and microprocessors, and with a processing architecture that links all (measurement) signals. For example, at least one acceleration sensor (for example for the three spatial directions), a gyroscope (for example for the three possible angles of inclination), a tire pressure measurement, a distance sensor, a camera, an external temperature sensor, a sensor for the motor control, and many more are common. As a result, already established methods, in particular for vehicle safety, are often carried out, such as a brake assist, a driving stability assist, a lane keeping assist and a few more. Above all, for partially autonomous or fully autonomous driving, a computing power and complex sensor system is provided.The geolocation determination device (for example via the so-called GPS [Global Position System], Galileo or Beidou) is already often included as standard in previously known motor vehicles, for example for a navigation system for proposing and guiding to a destination through a favourable route. A geolocation determination device is often also configured as an anti-theft device. The geolocation determination device is, in a simplified view, an antenna communicating with the corresponding geostationary satellites. Further approaches additionally or alternatively utilize triangulation via mobile radio interfaces and / or via so-called hodometry, which significantly converts the tire rotation into a distance covered. A geolocation determination device often comprises its own computing capacity with a processor (for example a CPU (central processing unit] or a microprocessor) and also working memories or else data memories.In one embodiment, the computing device is exclusively a processor having a supply architecture and a data interface to a memory.Alternatively, a local (at least working) memory is also provided. In an advantageous embodiment, the computing device is a component of an onboard computer of the ego motor vehicle or a (virtual) part of the onboard computer. The computing device is, for example, of conventional design. The computing device can preferably be connected to an external cloud and / or a backend in a communicating manner via a wireless data interface. The computing device is preferably configured to execute conventional human-readable computer programs or operating systems. Particularly preferably, the computing device is capable of or at least capable of complex calculations such as for artificial intelligence (for example neural networks).The human-machine interface preferably comprises a screen, particularly preferably with touch screen and / or gesture control. Alternatively or additionally, the human-machine interface comprises an audio reproduction and a microphone (system). Independently of this, it is advantageous if the human-machine interface is configured for the reproduction of colors (for example a warning red or silence blue), sounds (for example warning sounds or silence noise) and / or haptic signals (for example a vibration in the driver's seat and / or steering wheel). It should be noted that the human-machine interface referred to here is not necessarily a component of the ego motor vehicle, but, for example, of an external terminal, such as, for example, a multimedia display (also configured, for example, for the reproduction of television contents), a smartphone and / or a PC [personal computer].An input option is, for example, an (actuation) button on a screen. Alternatively or additionally, a physical button is to be actuated, a request for a voice input or gesture input. In a preferred embodiment, a check is already made before step a. as to whether this route has already been traveled on beforehand. In this case, a recording is then automatically started, for example according to step f, if necessary (for example, with an additional query to the interested party). In one embodiment, the first input option is presented only if the route has never been previously traveled after comparison with a storage of previously traveled routes. Alternatively or additionally, the first input option is offered depending on (further or alternative) other conditions, for example depending on a calendar entry of the interested party, on a set destination, on the number of passengers, on a current day of the week, on data from a swarm intelligence with respect to the route being traveled and others. In one embodiment, the first input option is always available in principle, but not necessarily stored at an operating level, so that it can be selected with a single gesture or can be found only with the knowledge about the existence of this function. Preferably, in step a. the first input option is displayed on a screen or provided by an audio announcement for dialing.The selection of the current sensor data is, for example, a defined preselection. Alternatively or additionally, further or fewer of the possible (current) sensor data are to be recorded. In this case, geolocation data are preferably simultaneously in each case associated (for example linked) with the sensor data. In one embodiment, the selection of the current sensor data is queried in the first input option, wherein a selection according to a basic setting is preferably initially started and then optionally further supplemented or reduced when the selection is completed. It should be noted that in one embodiment a plurality of interested parties are involved and the selection is made by the interested parties jointly or separately or depending on a preset authorisation. The results of the recording are provided, for example, only in accordance with the selection made individually or according to authorization by an interested party in step e. or even already during the trip.If the interested party referred to indicates by means of an adequate interaction with the human-machine interface (for example by means of tapping a corresponding (actuation) button or a voice input) that the start of a recording is desired, a geolocalized starting point is stored in step b. This means that the position is transmitted to the computing device by means of the geolocation determination device at the time of the start of the recording and the computing device stores or allows the computing device to store this transmitted position of the ego motor vehicle as a starting point (for example externally in a backend). It should be noted that, in one embodiment, the computing device receives the geolocalized position (at least quasi-) continuously from the geolocation determination device and optionally stores these transmitted positions and / or links them to events. However, it is different here that the geolocalized position determined at this specific point in time receives the designation as a starting point. This is picked up again in the following (in step f.) and described there.After a while or immediately after the start of the recording, a second input option is offered (in step c.) to the interested party or parties, for example in the same way or in a different way than the first input option for starting the recording. In one embodiment, the recording is ended when the travel is ended. In one embodiment, the recording is only terminated at an explicit request (i.e., an input of the second input option). In one embodiment, there is an additional or alternative constraint due to which the recording is terminated. For example, a home or a set destination is reached. For example, a self-set lower limit speed set or legally prescribed based on empirical values is undershot. For example, another (e.g., similar with new start point) recording is started. For example, another entertainment function is started, for example music or a telephone call is started. It should be noted that although the interested party in step c. is preferred, it is not necessarily the same as in step a. This also applies analogously to the following description.As with the starting point, in step d. a geolocalized ending point is stored, which also becomes relevant later in the method (but only potentially), namely in step g. Reference is made analogously to the description of the geolocalized starting point.In one embodiment, an access option is now provided (or at a later time) for an interested party, which, like the aforementioned input options, is executable and selectable for an interested party by means of an adequate interaction. It should be noted that the access option is not necessarily configured on the same human-machine interface and / or for reproduction on the same human-machine interface. Rather, in one embodiment, access to the recording of the (selection of) current sensor data can be reproduced on another device, for example outside its ego motor vehicle on a smartphone and / or PC. In one embodiment, an access option is provided to a further interested party who has not started and / or ended the recording, for example a friend and / or a trainer. In one application, access is provided to an external administrator and / or a program for monitoring a part load for maintenance tasks or adaptation of maintenance cycles, but also future configuration of parts in a load stack, as IoT information [Internet of Things]. In one embodiment, the group of people to whom an access option is provided is not limited, but is publicly accessible (e.g., via a home website and / or vehicle manufacturer).For example, in an operating mode of the ego motor vehicle in which navigation is active, the position (and direction of travel) of the ego motor vehicle is already monitored (at least quasi-) continuously. In one embodiment of an ego motor vehicle with theft protection, the geolocation data are also monitored (at least sporadic). It is also advantageous or even necessary for further functions in the ego motor vehicle to monitor the geolocation data (and direction of travel). Step e. is thus only a integration of the geolocation data into the method described here in this embodiment.It should be noted that the direction of travel can be determined by comparing two geolocation data ascertained successively in time and / or by hodometry, acceleration sensor data and other means.It is now proposed here that a recording in the sequence of a first recording actively initiated by the interested party is automatically started and also ended again by the computing device without action by the interested party (or another person). Purely optionally, in one embodiment, an additional query of an input option (to start and / or end) is provided. However, such an input option differs from those in step a. or step c., because these respectively enable changes from a sequence of the new recording determined by means of the previous recording and, in addition, a relationship with the previous recording is already known and is stored in the computing device or a (possibly external) memory. The relationship is in the simplest case the same designation of the record. Further settings relating to the recording, the ego motor vehicle and / or the interested party or the vehicle driver are preferably already set according to the previous recording.A different termination condition than the reaching of the end point of the previous recording is, for example, such a boundary condition as already indicated above in connection with the second input option (step c.), i.e., for example, the reaching of a special (geolocalized) point, dropping below a limit speed, starting a new recording, or another entertainment function.In an advantageous embodiment of the method, it is furthermore proposed that corner data relating to a performance on the recorded route, which data is edited by means of the computing device, in response to access to the at least one record, are reproduced to an interested party via the human-machine interface.Note that the term recorded route is a record as described above. It is thus a record of (at least one selection of) sensor data which are linked to geolocation data while the ego motor vehicle is being used to travel on a route.The corner data relate to prepared sensor data and are, for example, a maximum speed, a maximum longitudinal acceleration, a maximum lateral acceleration, a drift and / or a slipping of tires. For example, symbols which can be intuitively read are optically reproduced for this purpose on a human-machine interface comprising a touch screen. In one embodiment, the corner data is fixed or designated by an interested party. In one embodiment, the corner data is dynamically determined after the events in the recorded route. In one embodiment, both are mixed or switchable. In one embodiment, during a second or later recording, the corner data is established in comparison with the performance in the respective records, preferably depending on where there have been changes (exceeding a limit value).It is furthermore proposed in an advantageous embodiment of the method that, when a geolocalized starting point of a previous record is reached, the computing device sets that driving mode of the ego motor vehicle which was set in the previous record.In this embodiment, it is automatically noted that a previous performance can be compared with the pending performance only really when the driving mode is the same. Alternatively, the interested party, preferably the vehicle driver, is offered an input option to change the driving mode, i.e. either in comparison with the driving mode currently set (before the recording or before reaching the geolocalized starting point) or in comparison with the driving mode previously used in the recording, for example in order to compare the results with respect to time and energy consumption.It should be noted that, in an input option for the interested party, the reaching of a geolocalized starting point of a previous record is anticipated by the computing device and the interested party is offered the opportunity to make or change settings before the start of the further record. Alternatively or additionally, such an input option is only offered with or after the start of the recording, i.e. with or after reaching the geolocalized starting point.It is furthermore proposed in an advantageous embodiment of the method that in a step h., by means of the computing device, geolocalized extreme events are found and an access for an interested party to such an extreme event is created in each case, wherein an access to an extreme event is preferably created as:list of extreme events which are selectable for an interested party and, upon selection, at least the geolocation is rendered in a manner which is comprehensively prepared for human perception;graphical representation of a map with symbols arranged adequately to the respective geolocation as access buttons for optional selection by an interested party;categorized display according to the type of extreme event, preferably with display of a number of extreme events of the same category; and / orselecting the global extremes of the extreme events found, in comparison with the extreme events of the relevant record and / or of all records.In this embodiment, a record is examined by the computing device for extreme events which could therefore be of particular interest to an interested party. The interested party therefore does not have to search the record for particular events. In one embodiment, the search for an extreme event is initiated by the interested party by selecting a category to which he would like to have an extreme event presented. It should be noted that an extreme event is not necessarily an absolute extreme in the respective comparison, but rather, for example, in comparison to an average value and / or to a fixed or individually adjustable limit value.In one embodiment, a list of actually occurring or fundamentally possible extreme events is created or offered for selection via the human-machine interface. If the interested party selects, for example, the list entry (high) lateral acceleration, he is displayed, for example, a map on which geolocalized points with the corresponding extreme event (here lateral acceleration) are entered. These are preferably selectable for detailed information and / or are differently processed according to their ranking or according to their degree of extremity (for example according to an intuitive color scale or size).As already described above, it is advantageous to display a map on a screen of a human-machine interface in which the at least one extreme event is made visible graphically, preferably as a symbol. It should be noted that, due to the usually significantly reduced representation of the map and / or the number of further extreme events, the symbol is not necessarily exactly entered at the associated geolocalized point. For example, when a selection is made, the relevant section of the map is enlarged and / or the other symbols are moved away or hidden, so that the representation of the geolocation then becomes more accurate. For many applications, however, it is also sufficiently obvious to an interested party that a specific extreme event belongs to a specific route guidance of the relevant section of the route. An adequate arrangement is therefore adequate under the assumed understanding of the interested party, i.e. if the reference is (intuitively) comprehensible at least for a trained or kunish interested party.The optional selection is offered for a depression of the information offered. It should be noted that this is purely optional and a representation of the map and symbols without interaction offers is a possible embodiment. In general, it should be pointed out that the list mentioned merely represents conceivable embodiments for simplifying understanding. For example, combinations or sub-combinations of the explicitly listed embodiments of the accesses or access options are also embodiments of the method.In this embodiment, the type of extreme event or the plurality of extreme events is placed in the foreground, for example, as described above, the lateral acceleration or maximum speed as a category that could interest the interested party. In one embodiment, the categories are fixed or determined by an interested party. In one embodiment, the categories are dynamically determined after the events in the recorded route. In one embodiment, both are mixed or switchable. In one embodiment, during a second or later recording, the categories are established in comparison with the performance in the respective records, preferably depending on where there have been changes (exceeding a limit).In this embodiment, not a single record, as is optionally the case in the other examples mentioned, is considered, but at least two records are considered. In one embodiment, the recordings are exclusively the same recorded routes, i.e. recorded routes following one another in time. In another embodiment, the records to be compared are all previously created records or a selection of created records, for example selected manually or, after occurrence of the routes recorded in the respective group of the same recorded routes, those with the extreme events (globally) strongest in this group, for example depending on the respective category. An interested party may, for example, use this to search a route on which he or she would like to be better than a vehicle driver, or who should provide his or her own special fun or other vehicle driver.In one embodiment, this step h. is only carried out after the method from step a. to step d. or to step f. (and the analogous repetition of the recording according to step b. and step d. optionally without input option). Preferably, step h. is performed prior to providing an access option to an interested party. Alternatively or additionally, step h. is carried out (for example, in response to an input of the interested party and / or another person) during an access to the relevant record. Alternatively or additionally, step h. is carried out (for example after a processing by the interested party and / or another person) after access to the relevant record.It is furthermore proposed in an advantageous embodiment of the method that in a subsequent step g., the computing device compares the new record with at least one of the previous records and processes it for human perception.In this embodiment, comparisons are carried out in the meantime of successive recordings (possibly traveled by a plurality of (ego) motor vehicles and recorded identical or overlapping routes). In this case, for example, the corner data described above are compared. Alternatively or additionally, all recorded sensor data (of the respective selection) are compared with one another. Alternatively or additionally, at potentially interesting sections of the route (for example a narrow curve or an elongated curve) the or a sub-selection of the recorded sensor data are compared with one another.The processing of the comparison is, for example, in conventional output values, easily comprehensible symbols and / or graphs, preferably interactively with deeper, more precise presentation layers or presentation layers deviating from the aspect. The preparation is purely visual, purely audio or audio-visual, and in the ego motor vehicle and / or an external terminal. It should be noted that the reproduction of the record can also be carried out simultaneously on a plurality of devices, for example a part of the information is displayed on a screen in the ego motor vehicle and another part of the information (for example as an audio reproduction) via a mobile terminal, for example a smartphone.It is furthermore proposed in an advantageous embodiment of the method that a respective record of a route and / or of an extreme event is linked to the simultaneous weather data by means of the computing device.For many driving characteristics of an ego motor vehicle, it is not inconsiderable up to decisive which weather is present when driving a route. For example, the acceleration values and / or a tire slipping through will be significantly different in the case of rain than in the case of dry ground. However, an external temperature is also not insubstantial, not exclusively with regard to a coefficient of friction between tire and substrate, but also with regard to the required thermal output (or cooling output) above all for the components of the drive train. For example, in a particular weather, an interested party would like to select an interesting route from their previous records, for example, to travel as a vehicle driver again to improve. For example, an interested party would like to see how great the influence of weather is and exactly to drive (leave) the route once again in a different weather (for example, in the case of sunny and dry road surface) than in the case of the previous recording of the same route (for example, in the case of rain and / or wet roadway).It is furthermore proposed in an advantageous embodiment of the method that a record, depending on the geolocation, is received from the computing device a name suitable for human perception, preferably according to at least one of the following categories:name of the longest road and / or road most rich in events on the record in question;name of the city or region in which the record in question has been made;name of a point of interest which is located in the vicinity of the relevant record; and / orname of a private geolocalized reference point of the vehicle driver and / or the interested party.It becomes difficult for a human to resemble him, especially in the case of a multiplicity of recorded routes. Assigning a name for a recorded route is helpful for this. In one embodiment, not only a name for a single record (or group of records on the same route) but a plurality of names are assigned, so that different ideas or reminders of an interested party make the desired record retrievable. At the same time, it is often a nervous step for an interested party to diselevate himself with a name.It is proposed here that the name is already set or proposed by the computing device without (obligatory) interrogation of an interested party. If the name is provided as a proposal, the interested party receives an input option to change, reject, or also ignore the input option, wherein preferably the ignored proposal is interpreted and stored in a setting of the name. Possible examples are mentioned above, wherein further approaches (optionally also without consideration of the geolocation) and combinations or sub-combinations of the explicitly listed embodiments of the naming are embodiments of the method.It is furthermore proposed in an advantageous embodiment of the method that, when a route of a previous record is repeatedly traveled on, the interested party and / or the vehicle driver is provided with an indication from the computing device by means of the human-machine interface if a geolocalized point of interest for driving is imminent, wherein the point of interest for driving is preferably:an extreme event, and particularly preferably the vehicle driver receives an indication adequate to the category of the extreme event; and / ora point set by an interested party.One motif to an interested party is that performance is improved. It is therefore advantageous if the vehicle driver and / or the interested party receives an indication before an extreme event is reached (in this case an interesting point). This can thus prepare itself for the pending event or direct its concentration to the event. Alternatively or additionally, an interesting point is a point at which a point of interest can be viewed or approached as a target. The indication comes in such a timely manner that the vehicle driver or the interested party is able to react in a timely manner. In one embodiment, the indication of an interesting point is the indication of the approaching geolocalized starting point and / or end point of the route ahead or currently being traveled.It should be noted that the list mentioned is purely optional. In general, it should be pointed out that the list mentioned merely represents conceivable embodiments for simplifying understanding. For example, combinations or sub-combinations of the explicitly listed embodiments of the interesting points are also embodiments of the method.It is furthermore proposed in an advantageous embodiment of the method that the recording is provided to a further vehicle and this recording in this further vehicle initiates a method according to step e. to step f., wherein an access option to the provided recording is preferably provided to the interested party or vehicle driver of the further vehicle by means of the computing device, and / or wherein an access option to the recording carried out by the further vehicle is preferably provided to the interested party or vehicle driver of the further vehicle by means of the computing device.The method proposed here relates to a further (ego) vehicle, in which case the entire method can preferably be carried out in an embodiment described herein. Alternatively, the method according to step a. to step d. cannot be carried out in this further motor vehicle. For example, the providing ego motor vehicle and the further vehicle (or, for example, its owner) are enjoying one another. In one application, the providing ego motor vehicle is controlled by a professional (e.g., racing) vehicle driver who wishes to present their performance to a (limited) catchroom or public for replication. For example, the recording is supplemented by situation-dependent or general learning instructions which are added by the vehicle driver or an interested party of the providing ego motor vehicle, or are supplemented by means of an artificial intelligence. For example, such a record is made available behind a so-called paywall and / or a user circle (for example owners of a specific vehicle or vehicle type), for example by the vehicle manufacturer. Alternatively or additionally, the records are collected, for example by a vehicle manufacturer and also only this manufacturer, and preferably only upon explicit request, an access option is provided.In this embodiment or this similar method, the steps of the method are carried out in the further vehicle (then the further ego motor vehicle), in that the own geolocation of the further (executing) vehicle is monitored and a recording is started under the conditions mentioned, as explained above, and is optionally also ended in this way.It should be noted that an access option for the further vehicle (or its interested party) does not necessarily have to be provided. Preferably, however, the further vehicle is provided with an access option for a comparison of its own performance with that of the providing ego motor vehicle.It should be noted that an access option for the providing ego motor vehicle (or its interest) does not necessarily have to be provided. Preferably, however, the originally providing ego motor vehicle is provided with an access option by the further vehicle for a comparison of its own performance with that of the (now again) providing further vehicle.It is furthermore proposed in an advantageous embodiment of the method that a record is produced by a further vehicle according to step a. to step d. and the ego motor vehicle is stored as a record triggering step f., wherein an access option to the provided record is preferably provided to the interested party or vehicle driver of the ego motor vehicle by means of the computing device.The method proposed here relates to the preprocessing of a further (ego) vehicle, it being possible for the entire method to be carried out in the ego motor vehicle in an embodiment described herein. Alternatively, the method according to step a. to step d. cannot be carried out in this ego motor vehicle. In one embodiment, no access option is provided in the further vehicle (or its interested party and vehicle driver) which provides the recording. For example, the providing vehicle and the ego motor vehicle (or, for example, their owner) are enjoying one another. In one application, the providing further vehicle is controlled by a professional (e.g. racing) vehicle driver who wishes to present his performance to a (limited) catchroom or public for replication. For example, the recording is supplemented by situation-dependent or general learning instructions which are added by the vehicle driver or an interested party of the providing ego motor vehicle, or are supplemented by means of an artificial intelligence. For example, such a record is made available behind a so-called paywall and / or a user circle (for example owners of a specific vehicle or vehicle type), for example by the vehicle manufacturer. Alternatively or additionally, the records are collected, for example by a vehicle manufacturer and also only this manufacturer, and preferably only upon explicit request, an access option is provided.In this embodiment or this similar method, the steps of the method are carried out in the ego motor vehicle in such a way that the ego motor vehicle's own geolocation is monitored and a recording is started under the conditions mentioned, as explained above, and is optionally also ended in this way.It should be noted that an access option for the ego motor vehicle or the further vehicle (or its respective interested parties) does not necessarily have to be provided. Preferably, however, the other vehicle is provided with an access option for a comparison of its own performance with that of the ego motor vehicle and vice versa.The invention described above is explained in detail below in view of the relevant technical background with reference to the associated drawings, which show preferred embodiments. The invention is in no way limited by the purely schematic drawings, it being noted that the drawings are not dimensionally accurate and are not suitable for defining size ratios. It is shown in FIG. 1 : shows a schematic plan view of a (ego) motor vehicle; FIG. 2 : shows a flow chart of a sequence of the method for monitoring a performance when driving on a route; FIG. 3 : shows a graphical user interface of a human-machine interface at the start of the recording; FIG. 4 : shows a graphical user interface of a human-machine interface when playing a record on the basis of corner data; FIG. 5 : shows a graphical user interface of a human-machine interface when playing back a record on the basis of extreme events; FIG. 6 : shows a graphical user interface of a human-machine interface when playing a record on the basis of weather data; FIG. 7 : shows a graphical user interface of a human-machine interface when playing back a plurality of recordings on the basis of corner data; and FIG. 8 : schematically, a group of vehicles for carrying out the method in communication with one another.FIG. 1 shows a schematic plan view of a (ego) motor vehicle 2 having a vehicle driver 26 which interacts with a human-machine interface 10 designed as a screen on a steering wheel of a steering device 4. Purely by way of example, the ego motor vehicle 2 shown comprises a drive train 3 having a front and a rear drive engine, of which pars-pro-toto that at the rear axle is designated here. Likewise (correspondingly) pars-pro-tototo, the two rear wheels are identified as propulsion wheels 29. The human-machine interface 10 is in communication with a computing device 9, which is shown here purely schematically with a processor, a data memory and a bus system for combining the sensor data 6. The vehicle driver 26 is a possible interest 11 and the screen is a possible human-machine interface 10 and a component of a human-machine interface 10, respectively.FIG. 2 shows a flow chart of a sequence of the method for monitoring a performance when driving a route 1. The method can be executed, for example (exclusively or inter alia), in an ego motor vehicle 2 travelling on a route 1, as shown, for example, in FIG. 1. Alternatively or additionally, the method can be executed in communication with an external (for example mobile) terminal. Here, without exclusion of generality, purely for the sake of clarity, a variant of the method is described, which is executed exclusively in an ego motor vehicle 2.In a step a., when the ego motor vehicle 2 is located while driving on a route 1, a first input option 13 (start) is provided by means of a computing device 9 via the human-machine interface 10 for an interested party 11 (here, for example, vehicle driver 26 or passenger 12 other than) (and, if appropriate, additionally or alternatively to an external observer, for example, a friend or trainer). This first input option 13 (start) is used to offer the start of a recording of at least one selection of current sensor data 6. If the interested party 11 selects, i.e. perceives, this first input option 13, a geolocalized starting point 14 is set by means of the computing device 9 with a step b., and a corresponding recording is started, which is linked to the simultaneous geolocation data 8. Thus, a record of the route 1 is created and the events which can be recorded with the (selected) recorded sensor data 6 are recorded in a repeatedly comprehensible manner for the respectively associated route points. After the start of the recording, namely directly or after a minimum period of time, in a step c. a second input option 15 (end) for an interested party 11 is ended by means of the computing device 9 via a human-machine interface 10, for example in the ego motor vehicle 2 for the vehicle driver 26 and / or another passenger 12 as interested party 11 (and optionally additionally or alternatively an external observer, for example a friend or travel trainer) for an interested party 11, the recording of current sensor data 6 started in step b. being ended. If the interested party 11 selects, i.e. perceives, this first input option 13, a geolocalized end point 16 is set by means of the computing device 9 with a step d., and the current recording is ended.In one (purely optional) embodiment of the method, in a step h. geolocalized extreme events 20 are sought and found by means of the computing device 9. These extreme events 20 are each accessed by the computing device 9, for example as a list or symbol 23 in a map 22 (compare FIG. 5 or 7 ). In the representation of this flow chart, the finding of extreme events 20 (for example a high speed and / or a slipping of at least one tire) is carried out during the running recording. In one embodiment, the vehicle driver 26 (or external interested party 11) is displayed very promptly, for example within a few tenths of a second or more quickly, via a human-machine interface 10 when an extreme event 20 has occurred.In a step e., the current position and direction of travel 17 of the ego motor vehicle 2 is monitored by means of the computing device 9 with the aid of the current geolocation data 8 of the geolocation determination device 7. As soon as the ego motor vehicle 2 reaches the geolocalized starting point 14 of the relevant route 1 set in step b. in the same direction of travel 17 as in the relevant record, a renewed record is started in step f. by means of the computing device 9. This is continued until the geolocalized end point 16 of the previous recording set in step d. is reached, alternatively until another predetermined termination condition is reached. steps e. and f. are continuously repeated, if desired. Step e. then runs in stand-by in the background.After a recording or already during a recording, an interested party 11 receives an access option 18, for example in the ego motor vehicle 2 or another vehicle and / or on a (for example mobile) terminal, by means of the computing device 9. The access option 18, and ultimately the access or playback of the record, is provided to the vehicle driver 26 himself or another interested party 11. For example, the record is published directly after or already before its completion, for example in a cloud or an external terminal, for friends, a trainer or an IoT application. It should be noted that in one embodiment, the playback is represented as video or includes video sequences upon the perception of the access option 18. In an advantageous embodiment, the reproduction is free of video sequences and solely a graphical processing of sensor data 6 or their significance for guiding the vehicle or generally the performance.In a (purely optional) embodiment of the method, in a step g. the computing device 9 compares the new record with at least one of the previous records and processes it for human perception. In one embodiment, the access option 18 also applies to the result of step g.. In another embodiment, an additional access option 18 is provided, wherein, for example, another interest 11 receives this access option 18.FIG. 3 shows a graphical user interface of a human-machine interface 10 at the start of the recording, such as can be displayed, for example, on a touch screen in the cockpit of an ego motor vehicle 2. On the upper left, a first input option 13 (start) is displayed as a (actuation) button, which an interested party 11, for example the vehicle driver 26 or another passenger 12, can select. The route 1 being traveled and a representation of the ego motor vehicle 2 (shown here as a compass needle) are displayed here on a (digital) map 22 with its tip pointing toward the direction of travel 17.On the right in the illustration, symbols 23 for extreme events 20 of different categories are shown by way of example (here a break-out of the vehicle rear and a tire slipping through). In the embodiment shown, these are simultaneously prepared as an access option 18 in the form of an (confirm) button for human perception. Furthermore, a (actuation) button for the second input option 15 (end) is stored below it. Alternatively or additionally, the same first input option button 13 (start) after dialing is the second input option button 15 (end).FIG. 4 shows a graphical user interface of a human-machine interface 10 when playing back a record on the basis of corner data 19, such as can be displayed, for example, on a touch screen in the cockpit of an ego motor vehicle 2. At the top left is, for example, a button for selecting a concrete (previous) record or route 1. besides, buttons for certain aspects of the current record or a record according to these aspects are to be selected. Here, the aspects are purely exemplary and without exclusion of generality: weather data 24, energy consumption 34 and extreme events 20. Below the Route Selection button 1, the selected route name 33 is displayed.Four (preferably interactive) fields are shown in the illustration below the buttons, on which corner data 19 are indicated with symbols 23 or already concrete values. Here, purely by way of example and without exclusion of generality, the following four (of more, recognizable on a scroll bar on the right) corner data 19 are shown symbolically: exhaust gas values or consumption 29 (end pipe), data relating to the drive train 3 (gearwheels), road contact (tires) and acceleration values (arrows). Preferably, by touching the (then interactive) fields, a greater depth of detail of the information (based on recorded) sensor data 6 can be displayed.FIG. 5 shows a graphical user interface, similar to that shown in FIG. 4, of a human-machine interface 10 when playing back a record on the basis of extreme events 20, such as can be displayed, for example, on a touch screen in the cockpit of an ego motor vehicle 2. At the top left is, for example, a button for selecting a concrete (previous) record or route 1. besides, buttons for certain aspects of the current record or a record according to these aspects are to be selected. Here, the aspects are purely exemplary and without exclusion of generality: weather data 24, energy consumption 34 and corner data 19. right a map 22 with the course of route 1 is shown. Below the Route Selection button 1, the selected route name 33 is displayed.Four (preferably interactive) fields are shown in the illustration below the buttons, on which extreme events 20 are indicated with symbols 23 or already concrete values. Here, purely by way of example and without exclusion of generality, the following four (of more, recognizable on a scroll bar on the right) extreme events 20 are shown symbolically: understeering or oversteering (vehicle on a curved trajectory), lane stability (front view with curved lane), rear burst, tire slipping through (tire with arrow). Preferably, by touching the (then interactive) fields, a greater depth of detail of the information (based on recorded) sensor data 6 can be displayed.FIG. 6 shows a graphical user interface, similar to FIGS. 4 and 5, of a human-machine interface 10 when playing a record on the basis of weather data 24, such as can be displayed, for example, on a touch screen in the cockpit of an ego motor vehicle 2. At the top left is, for example, a button for selecting a concrete (previous) record or route 1. besides, buttons for certain aspects of the current record or a record according to these aspects are to be selected. Here, the aspects are purely exemplary and without exclusion of generality: corner data 19, energy consumption 34 and extreme events 20. Below the Route Selection button 1, the selected route name 33 is displayed.Two (preferably interactive) fields are displayed in the illustration below the buttons, on which weather data 24 are indicated with symbols 23 or already concrete values. Here, purely by way of example and without exclusion of generality, temperature and vaulting or probability of rain. Preferably, by touching the (then interactive) fields, a greater depth of detail of the information (based on recorded) sensor data 6 can be displayed. Service providers 32 are displayed below the fields so that the interested party 11 can view different forecasts and records.FIG. 7 shows a graphical user interface, similar to FIGS. 4 to 6, of a human-machine interface 10 when playing back a plurality of recordings on the basis of corner data 19, such as can be displayed, for example, on a touch screen in the cockpit of an ego motor vehicle 2. For example, the top left is a button for selecting multiple concrete (previous) records associated with a (single) route 1. besides buttons for certain aspects of the current record or a record are to be selected according to these aspects. Here, the aspects are purely exemplary and without exclusion of generality: weather data 24, energy consumption 34 and extreme events 20. Below the Route Selection button 1, the selected route name 33 is displayed. In addition, the number and / or the calendar data of the plurality of records is displayed.Four (preferably interactive) fields are shown in the illustration below the buttons, on which corner data 19 are indicated with symbols 23 or already concrete values. Here, purely by way of example and without exclusion of generality, the following four (of more, recognizable on a scroll bar on the right) corner data 19 are shown symbolically: route profile (road lane), time data (clock), energy consumption 34 (pump with round arrow), speed and longitudinal acceleration (tachometer), respectively. Preferably, by touching the (then interactive) fields, a greater depth of detail of the information (based on recorded) sensor data 6 can be displayed.Furthermore, in this case, a symbol 23 is shown in the map 22 at the corresponding geolocations 21, at which symbol an extreme event 20 has occurred. The symbols 23 are selected here (purely by way of example) as in FIG. 5, that is to say (in the sequence in the direction of travel 17 along the route 1) under steer or over steer (vehicle on a curved trajectory), tire slipping through (tire with arrow), lane stability (front view with curved lane), rear end break.FIG. 8 schematically shows a group of vehicles for carrying out the method in communication with one another by means of a communication system 35 (here represented purely symbolically by a satellite 31). The right-hand vehicle of the two vehicles is referred to here as the ego motor vehicle 2, which, for example, creates a record and passes it on to the further vehicle 28. Alternatively or additionally, the right of the two vehicles is the further vehicle 28, which, for example, creates a record and passes it on to the ego motor vehicle 2.The vehicles each comprise a computing device 9, a sensor system 5 and a geolocation determination device 7 in order to carry out the method for monitoring a performance when driving on a route 1, for example as described with reference to FIG. 2. Furthermore, the vehicles each comprise an antenna 30, by means of which they are connected to one another (directly to one another and / or by means of the communication system 35) in a communicating manner. In one embodiment, provided records of a vehicle are maintained by a communication system 35 (e.g., executed as a cloud or backend) and provided for download. Purely symbolically, ones and zeros are designated as sensor data 6 for this purpose, which are transmitted. Alternatively or additionally, the communication system 35 is configured exclusively as a geolocation system, wherein the satellite 31 is configured to provide geolocation data 8. It should be noted that other means or methods for ascertaining geolocation data 8 can also be used, such as triangulation via mobile radio nodes and / or hodometry in the relevant vehicle. Purely symbolically, ones and zeros (alternatively or additionally) are designated as geolocation data 8, which are transmitted. The further vehicle 28 is thus able to compare its performance with that of the ego motor vehicle 2 (or vice versa).The invention relates to a method for monitoring performance when driving a route, wherein the method comprises at least the following steps in the order mentioned: a. providing a first input option, when driving a route, to begin a recording of at least one selection of current sensor data; and to a perception of the first input option, b. setting a geolocalized starting point and beginning to record the current sensor data linked to the simultaneous geolocation data; c. providing a second input option, to end the started recording of current sensor data; and to a perception of the second input option, d. setting a geolocalized ending point and ending the recording; e. monitoring the current position and direction of travel of the ego motor vehicle; and as soon as the ego motor vehicle reaches the starting point of the relevant route in the same direction of travel as in the relevant record, f. beginning with a renewed record until the end point of the previous record or another predetermined termination condition is reached, wherein an access option for an interested party to the at least one terminated record is provided.With the method proposed here, it is made easy for a vehicle driver to analyze his performance.List of reference characters1 Route 2 Ego motor vehicle 3 Drive train 4 Steering device 5 Sensor system 6 Sensor data 7 Geolocation determination device 8 Geolocation data 9 Computing device 10 Human-machine interface 11 Interested 12 Passenger 13 First input option (start) 14 Geolocalized starting point 15 Second input option (end) 16 Geolocalized ending point 17 Direction of travel 18 Access option 19 Corner data 20 Extreme event 21 Geolocation 22 Map 23 Symbol 24 Weather data 25 Road 26 Vehicle driver 27 Point of travel 28 Further vehicle 29 Propulsion wheel 30 Antenna 31 Satellite 32 Service provider 33 Route name 34 Energy consumption 35 Communication system
Claims
Method for monitoring a performance when driving a route (1), wherein the method is carried out on an ego motor vehicle (2), which comprises at least the following components: - a drive train (3) for driving the ego motor vehicle (2); - a steering device (4) for controlling the direction of the ego motor vehicle (2); - a sensor system (5) for detecting sensor data (6) relating to current processes in the ego motor vehicle (2); - a geolocation determination device (7) for determining geolocation data (8) of the ego motor vehicle (2); - a computing device (9) for processing detected sensor data (6) of the sensor system (5) and detected geolocation data (8) of the geolocation determination device (7); and - a man-machine interface (10), which is connected to the computing device (9) in a communicating manner and allows interactions between an interested party (11) and the computing device (9), wherein the method comprises at least the following steps in the stated order: a. by means of the computing device (9), provision of a first input option (13) for an interested party (11), to start a recording of at least one selection of current sensor data (6) when driving a route (1); and to a perception of the first input option (13), b. by means of the computing device (9), setting a geolocalized starting point (14) and starting the recording of the selection of current sensor data (6) linked to the simultaneous geolocation data (8); c. by means of the computing device (9), providing a second input option (15) for an interested party (11), to end the recording of current sensor data (6) started in step b.; and for a perception of the second input option (15), d. by means of the computing device (9), setting a geolocalized end point (16) and ending the current recording; e. by means of the computing device (9) by means of the current geolocation data (8) of the geolocation determination device (7), monitoring the current position and direction of travel (17) of the ego motor vehicle (2); and as soon as the ego motor vehicle (2) reaches the geolocalized starting point (14) of the relevant route (1) in the same direction of travel (17) as in the relevant record, f. by means of the computing device (9), beginning with a renewed record until the end point (16) of the previous record or another predetermined termination condition is reached, wherein an access option (18) for an interested party (11) to the at least one terminated record is provided by means of the computing device (9).Method according to Claim 1, wherein corner data (19) relating to a performance on the recorded route (1) which are edited by means of the computing device (9) are reproduced to an interested party (11) via the human-machine interface (10) in response to access to the at least one record.Method according to Claim 1 or Claim 2, wherein, when a geolocalized starting point (14) of a previous record is reached, the computing device (9) sets that driving mode of the ego motor vehicle (2) which was set in the previous record.Method according to one of the preceding claims, wherein in a step h., by means of the computing device (9), locating geolocalized extreme events (20) and creating an access for an interested party (11) to such an extreme event (20) is created, wherein an access to an extreme event (20) is created as: - list of extreme events (20), which are selectable for an interested party (11) and, upon selection, at least the geolocation (21) is reproduced in a manner prepared in an comprehensible manner for human perception; - graphical representation of a map (22) with symbols (23) arranged adequately to the respective geolocation (21) as access buttons for an optional selection by an interested party (11); - categorized representation according to the type of the extreme event (20), preferably with reproduction of a number of extreme events (20) of the same category; and / or - selection of the global extremes of the extreme events (20) found, in comparison with the extreme events (20) of the relevant record and / or of all records.Method according to one of the preceding claims, wherein in a subsequent step g. the computing device (9) compares the new record with at least one of the preceding records and processes it for human perception.Method according to Claim 4, wherein a respective record of a route (1) and / or of an extreme event (20) is linked to the simultaneous weather data (24) by means of the computing device (9).Method according to one of the preceding claims, wherein a record is obtained from the computing device (9) depending on the geolocation (21) a name suitable for human perception, preferably according to at least one of the following categories: - name of the longest and / or most incident road (25) being traveled in the relevant record; - name of the city or region in which the relevant record has been made; - name of a point of interest which is located in the vicinity of the relevant record; and / or - name of a private geolocalized reference point of the vehicle driver (26) and / or of the interested party (11).Method according to one of the preceding claims, wherein, when a route (1) of a previous record is repeatedly traveled, the interested party (11) and / or the vehicle driver (26) is provided with an indication from the computing device (9) by means of the man-machine interface (10) if a geolocalized point of interest in terms of travel (27) is imminent, wherein preferably the point of interest in terms of travel (27) comprises: - an extreme event (20), and particularly preferably the vehicle driver (26) is provided with an indication that is adequate to the category of the extreme event (20); and / or - is a point (27) set by an interested party (11).Method according to one of the preceding claims, wherein the recording is provided to a further vehicle (28) and this recording in this further vehicle (28) initiates a method according to step e. to step f., wherein an access option (18) for the recording provided is preferably provided by means of the computing device (9) to the interested party (11) or vehicle driver (26) of the further vehicle (28), and / or wherein an access option (18) for the recording carried out by the further vehicle (28) is preferably provided by means of the computing device (9) to the interested party (11) or vehicle driver (26) of the further vehicle (28).Method according to one of the preceding claims, wherein a record is created by a further vehicle (28) according to step a. to step d. and the ego motor vehicle (2) is stored as a record triggering step f., wherein an access option (18) for the provided record is preferably provided to the interested party (11) or vehicle driver (26) of the ego motor vehicle (2) by means of the computing device (9).
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