Method and device for operating a driving system in a section in which there is carriageway ambiguity

Abstract

The invention relates to a device for operating a driving system for the automated longitudinal and / or lateral control of a motor vehicle. The device is designed, as part of the operation of the driving system, to detect objects belonging to a plurality of different object classes in the surroundings of the motor vehicle on the basis of sensor data from one or more environment sensors of the motor vehicle and using an object-detection algorithm, and to take the detected objects into account when operating the driving system. The device is also designed to determine, during operation of the driving system, that the motor vehicle is located in a section of the road network in which there is carriageway ambiguity between a first carriageway of a first carriageway type and a second carriageway of a second carriageway type. The device is also designed, in response to determining that the motor vehicle is located in a section in which there is carriageway ambiguity, to selectively increase, for operation of the driving system in said section, the sensitivity of the object-detection algorithm for detecting objects belonging to at least one particular object class among the plurality of object classes.

Description

[0001] 24-3169

[0002] Method and device for operating a driving system in a sub-area with road surface ambiguity

[0003] The invention relates to a method and a corresponding device, each designed to provide particularly comfortable and safe automated longitudinal and / or lateral guidance of a motor vehicle.

[0004] A vehicle may have one or more driving systems, in particular driver assistance systems, each designed to guide the vehicle automatically longitudinally and / or laterally.

[0005] This document addresses the technical challenge of achieving a particularly comfortable and safe operation of a driving system for the automated longitudinal and / or lateral guidance of a vehicle.

[0006] The problem is solved by each of the independent claims. Advantageous embodiments are described, inter alia, in the dependent claims. It should be noted that additional features of a claim dependent on an independent claim, without the features of the independent claim or only in combination with a subset of the features of the independent claim, constitute a separate and distinct claim.

[0007] - 2 -

[0008] A combination of all features of an independent claim can constitute an independent invention, which can be the subject of an independent claim, a divisional application, or a subsequent application. This also applies to technical teachings described in the description, which can constitute an invention independent of the features of the independent claims.

[0009] According to one aspect, a device for operating a driving system for the automated longitudinal and / or lateral control of a motor vehicle is described. The driving system can be configured to automatically guide the motor vehicle longitudinally and / or laterally on a currently driven roadway. The driver may be enabled to activate a hands-off option, which allows the driver to remove their hands from the steering wheel of the motor vehicle, particularly permanently (without the requirement to place their hands back on the steering wheel after a certain maximum duration, e.g., 15 seconds or less, or 10 seconds or less).

[0010] The device is designed to recognize objects from a multitude of different object classes in the vehicle's environment during operation of the driving system, based on sensor data from one or more environmental sensors of the vehicle and using an object recognition algorithm, and to take these objects into account during the operation of the driving system. Examples of object classes include: non-motorized road users (e.g., pedestrians or cyclists), motorcycles, cars, trucks, buses, lane markings, and / or physical barriers between lanes. The object recognition algorithm can be configured to specify the object class for each individual object. Furthermore, the object recognition algorithm can be configured to provide a confidence value for each individual object, indicating the degree of confidence that the respective object actually exists. The confidence value for an object can be 24-3169

[0011] - 3 -

[0012] The value can be compared with a confidence threshold, and based on the comparison, a decision can be made as to whether the object has been detected (e.g., if the confidence value is equal to or greater than the confidence threshold) and is therefore taken into account in the operation of the driving system, or not (e.g., if the confidence value is less than the confidence threshold) and is therefore not taken into account in the operation of the driving system.

[0013] The device is further configured to determine, during operation of the driving system, that the motor vehicle is located in a section of the road network traversed by the motor vehicle where there is a lane ambiguity between a first lane of a first type of road (e.g., a city street) and a second lane of a second type of road (e.g., a motorway or expressway). In this section with lane ambiguity, the first and second lanes may, for example, run above, below, and / or parallel to each other, so that (based on a digital map) it cannot be unambiguously determined whether the motor vehicle is on the first or the second lane.

[0014] The device can be configured to determine the vehicle's position within a digital map of the road network traversed, based on sensor data from a position sensor, in particular a GNSS (Global Navigation Satellite System) receiver. It can then be determined, based on the vehicle's position within the digital map, that the vehicle is located in a section of road with ambiguity.

[0015] It can thus be recognized that the motor vehicle is located in a section of the road network where (based on the digital map, possibly solely on the basis of the digital map) it cannot be clearly determined whether the motor vehicle is on a first carriageway of a first carriageway type (e.g., a city street) or on a second carriageway of a second carriageway type (e.g., B24-3169).

[0016] - 4 -

[0017] a motorway or expressway). This can be the case, for example, because the two carriageways are arranged directly above one another or directly next to each other.

[0018] Furthermore, the device is configured to selectively increase the sensitivity of the object recognition algorithm for detecting objects from at least one specific object class out of the plurality of object classes, specifically for the operation of the driving system in the area with road ambiguity, in response to the determination that the motor vehicle is positioned in a section with road ambiguity. In particular, the sensitivity of the object recognition algorithm for detecting objects from the specific object class for non-motorized road users can be selectively increased for the operation of the driving system in the area with road ambiguity.Alternatively or additionally, the sensitivity of the object detection algorithm for detecting objects from a specific object class can be selectively increased for the operation of the driving system in the section with road ambiguity, specifically for the physical separation of the lane used by the vehicle from an oncoming lane. This increased sensitivity can be achieved by reducing the confidence threshold used for detecting objects of the specified object class.

[0019] By selectively increasing the sensitivity of the object recognition algorithm for one or more specific object classes, the comfort and safety of the driving system can be enhanced. In particular, it can enable the driving system to operate safely even in areas with road ambiguity (possibly with the hands-off option activated).

[0020] The sensitivity of the object detection algorithm is preferably increased only for a subset of the majority of different object classes. For example, the sensitivity can be increased (exclusively) for the object class of non-motorized road users (and possibly for the object class of physical barriers).24-3169

[0021] - 5 -

[0022] Sensitivity can be increased. On the other hand, it is preferably not increased for one or more object classes relating to motorized vehicles. This allows the comfort and safety of the driving system to be significantly enhanced.

[0023] The device can be configured to use a first sensitivity of the object recognition algorithm for detecting objects from a specific object class when the vehicle is on a roadway of the first type (e.g., city streets). Furthermore, the device can be configured to use a second sensitivity of the object recognition algorithm when the vehicle is on a roadway of the second type (e.g., highways or expressways). The first sensitivity can be higher than the second sensitivity.

[0024] For example, on roads of the first type, the probability of a non-motorized road user being on or next to the roadway may be higher than on roads of the second type. Furthermore, the specific object class may pertain to non-motorized road users. In other words, the specific object class (for which the sensitivity of the object detection algorithm is selectively increased) may be an object class for non-motorized road users.

[0025] The device can be configured to use the first sensitivity of the object detection algorithm for operating the driving system in the section with road ambiguity. This can also be achieved even if it has been determined that the vehicle is located in the second lane of the second lane type. The driving system can thus be operated in the section with road ambiguity under the assumption that the vehicle is in the second lane (and thus, for example, enabling the activation of the hands-off option). On the other hand, for the 24-3169

[0026] - 6 -

[0027] The object detection algorithm uses the first sensitivity instead of the second sensitivity (for detecting objects of a specific object class). This allows the driving system to operate in a particularly safe manner in a section with road ambiguity.

[0028] The device can thus be configured, during operation of the driving system, to run the object recognition algorithm for detecting objects from the specified object class with the second sensitivity when the vehicle is traveling on a lane of the second lane type. Furthermore, the device can be configured to detect when the vehicle is moving (directly) from the lane of the second lane type into the section with lane ambiguity. In response to this detection, the sensitivity of the object recognition algorithm for detecting objects from the specified object class can then be selectively increased to the first sensitivity.

[0029] Alternatively or additionally, the device can be configured to operate the object recognition algorithm for detecting objects from the specified object class with the first sensitivity during the operation of the driving system, particularly when the vehicle is driving in the section with road ambiguity. It can be detected that the vehicle is driving (directly) from the section with road ambiguity onto a lane of the second lane type. Furthermore, in response to this detection, the sensitivity of the object recognition algorithm for detecting objects from the specified object class can be reduced to the second sensitivity.

[0030] This ensures continuous and safe operation of the driving system when traversing a section with road ambiguity. 24-3169

[0031] - 7 -

[0032] As previously explained, the device can be configured to allow activation of the hands-off option during operation of the driving system. In particular, the device can be configured to allow activation of the hands-off option during operation of the driving system when the vehicle is on a roadway of the second type (e.g., on a motorway or expressway). Conversely, the device can be configured to prevent activation of the hands-off option during operation of the driving system when the vehicle is on a roadway of the first type (e.g., on a city street).

[0033] The device can be configured (by selectively increasing the sensitivity of the object recognition algorithm for one or more specific object classes) to enable the activation of the hands-off option for the operation of the driving system in the area with road ambiguity. This allows the comfort of the driving system to be further increased safely.

[0034] The device can also be configured to deactivate the activated hands-off option during operation of the driving system if, and in particular as soon as, an object from the specified object class is detected in the vicinity of the vehicle, especially on or beside the roadway being traveled by the vehicle. During the deactivation of the hands-off option, one or more prompts can be issued to the driver, each designed to instruct the driver to place their hands on the steering wheel. In this way, the hands-off option can be provided in a particularly safe manner in a section of the roadway with ambiguity.

[0035] According to another aspect, a (road) motor vehicle (in particular a passenger car, a truck, a bus, or a motorcycle) is described that includes the device described in this document. 24-3169

[0036] - 8 -

[0037] According to one aspect, a method for operating a driving system for automated longitudinal and / or lateral guidance of a motor vehicle is described. The method includes the detection, within the scope of the driving system's operation, of objects from a plurality of different object classes in the vehicle's environment based on sensor data from one or more environmental sensors of the vehicle, as well as taking the detected objects into account during the operation of the driving system.

[0038] Furthermore, the procedure includes determining, during the operation of the driving system, that the motor vehicle is positioned in a section of the road network where there is a lane ambiguity between a first lane of a first lane type and a second lane of a second lane type (which differs from the first lane type). In particular, it can be determined that, within this section of the road network, it cannot be unambiguously determined (based on the digital map of the road network) whether the motor vehicle is positioned on the first lane or on the second lane.

[0039] Furthermore, in response to the determination that the motor vehicle is located in a sub-area with road ambiguity, the procedure includes selectively increasing the sensitivity of the object recognition algorithm for the detection of objects from at least one specific object class from the plurality of object classes for the operation of the driving system in the sub-area with road ambiguity.

[0040] It should be noted that the aspects described in connection with the apparatus, in particular the claims described in connection with the apparatus, are also applicable to the method as corresponding process features.24-3169

[0041] - 9 -

[0042] Another aspect described is a software (SW) program. The SW program can be configured to run on a processor (e.g., on a vehicle's control unit) and thereby execute the procedure described in this document.

[0043] Another aspect describes a storage medium. This storage medium can include a software program configured to run on a processor and thereby execute the procedure described in this document.

[0044] In this document, the term "automated driving" refers to driving with automated longitudinal and / or lateral control. Automated driving can, for example, involve extended periods of driving on the highway or time-limited driving during parking maneuvers. The term "automated driving" encompasses automated driving at any level of automation. Examples of automation levels include assisted, semi-automated, highly automated, fully automated, and autonomous driving (each with an increasing degree of automation). The five automation levels mentioned above correspond to SAE Levels 1 to 5 of the SAE J3016 standard (SAE - Society of Automotive Engineering). In assisted driving (SAE Level 1), the system performs longitudinal or lateral control in specific driving situations.In partially automated driving (SAE Level 2), the system takes over longitudinal and lateral control in certain driving situations, although the driver must continuously monitor the system, as with assisted driving. In highly automated driving (SAE Level 3), the system takes over longitudinal and lateral control in certain driving situations without the driver needing to continuously monitor the system; however, the driver must be able to take over vehicle control within a certain timeframe if requested by the system. In fully automated driving (SAE Level 4), the system takes over vehicle control in certain driving situations, even if the driver reacts to a 24-3169.

[0045] - 10 -

[0046] The system does not respond to a request for intervention, thus eliminating the driver as a fallback option. In autonomous driving (SAE Level 5), the system can perform all aspects of the dynamic driving task under any road and environmental conditions that a human driver can also master. The aspects described in this document may, in particular, refer to a driving system trained to SAE Level 2 or 3.

[0047] It should be noted that the methods, devices, and systems described in this document can be used both alone and in combination with other methods, devices, and systems described in this document. Furthermore, any aspect of the methods, devices, and systems described in this document can be combined with one another in a variety of ways. In particular, the features of the claims can be combined with one another in a variety of ways. Features listed in parentheses are to be understood as optional features.

[0048] The invention will now be described in more detail using exemplary embodiments.

[0049] Figure 1 shows exemplary components of a vehicle;

[0050] Figure 2 shows an exemplary driving situation with an ambiguity regarding the roadway used by the vehicle; and

[0051] Figure 3 shows a flowchart of an exemplary procedure for automated longitudinal and / or lateral guidance of a vehicle.

[0052] As stated at the outset, this document deals with increasing the comfort and / or safety of a driving system for automated longitudinal and / or lateral control of a vehicle, in particular a driving system with an activated hands-off option. In this context, Fig. 1 shows an exemplary vehicle 100 with one or more environmental sensors 102, each configured to receive sensor data (also referred to as environmental data).24-3169

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[0054] (will be) to detect the environment of the vehicle 100. Examples of environmental sensors 102 are a camera, a radar sensor, a lidar sensor, an ultrasonic sensor, etc.

[0055] A (control) device 101 of the vehicle 100 can be configured to evaluate environmental data, e.g., to detect one or more objects (e.g., other vehicles) in the vicinity of the vehicle 100. The device 101 can further be configured to effect automated longitudinal and / or lateral control of the vehicle 100 based on the environmental data, in particular based on the one or more detected objects. For this purpose, one or more longitudinal and / or lateral control actuators 103 (e.g., a drive motor, a braking device, and / or a steering device) of the vehicle can be controlled.

[0056] The automated longitudinal control of vehicle 100 can be achieved, for example, by a speed and / or distance controller. Based on environmental data, the current distance of vehicle 100 to a vehicle directly in front of it can be determined. Furthermore, the distance controller can adjust this current distance to a predefined target distance. Additionally, when driving without a vehicle in front, the current speed of vehicle 100 can be adjusted to a predefined target speed. The target distance and / or target speed can be set by the driver, for example, via a user interface 104 of vehicle 100.

[0057] The automated lateral guidance of vehicle 100 can be achieved by a lane keeping assistant, which is configured to automatically guide vehicle 100 laterally within the currently occupied lane. This is accomplished through the combined operation of the speed and distance control and the 24-3169

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[0059] Lane keeping assist systems can provide a driving system for automated longitudinal and lateral guidance of the vehicle.

[0060] As part of the operation of the driving system for automated longitudinal and lateral control of vehicle 100, the driver 110 of vehicle 100 can be enabled to use and / or activate a hands-off option, allowing the driver 110 to permanently remove their hands from the steering wheel 106 of vehicle 100. Whether or not the driver 110 is touching the steering wheel 106 can be detected based on sensor data from a steering wheel sensor on the steering wheel 106. Alternatively or additionally, camera data relating to the driver 110 of vehicle 100 can be acquired using an interior camera 105. Based on this camera data, it can be determined whether the driver is holding the steering wheel 106 with at least one hand or not.

[0061] A driving system, in particular a driver assistance system, with the hands-off option activated, can monitor the driver's attention 110, whereby the driver's attention (e.g., the level of attention) can be determined, for example, based on camera data from the interior camera 105 directed at the driver 110. If it is detected that the driver 110 is inattentive, one or more visual, audible, and / or haptic warnings can be issued to the driver 110 to prompt the driver 110 to refocus their attention on the driving situation.

[0062] This describes a driver assistance system that allows the driver (110) to permanently remove their hands from the steering wheel (106). A driver assistance system with a hands-off option may be limited to use on highways because highways typically have a physical separation between the lane of a vehicle (100) and the oncoming lane, and because the likelihood of pedestrians and / or cyclists is relatively low. Using a digital map of the road network used by the vehicle (100), it can be verified whether the 24-3169

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[0064] Whether vehicle 100 is on a highway or not. For this purpose, vehicle 100 can be positioned on the digital map using position data from a position sensor, e.g., a GNSS (Global Navigation Satellite System), in particular a GPS receiver. Based on the positioning of vehicle 100 within the digital map, a decision can be made as to whether vehicle 100 is on a highway or not.

[0065] Alternatively or additionally, the sensor data from one or more environmental sensors 102 can be used to determine whether the vehicle 100 is on a highway or not. This can, for example, check whether there is a physical barrier separating it from the opposite lane. Furthermore, it can be checked whether there are people on or next to the currently driven lane.

[0066] As previously explained, the control device 101 can be configured to detect objects in the vicinity of the vehicle 100 based on sensor data from one or more environmental sensors 102 of the vehicle. An object recognition algorithm can be used for this purpose. The object recognition algorithm can be configured to recognize and classify objects. Examples of object classes include: passenger cars, trucks, buses, motorcycles, bicycles, and / or pedestrians (i.e., non-motorized road users).

[0067] The object detection algorithm can further be configured to determine a confidence value for each identified object, where the confidence value for an object indicates the probability and / or the certainty and / or the confidence that the object actually exists. The confidence value for an object can be compared with a confidence threshold, and it can be decided that the object exists and / or has been detected if the confidence value is equal to or greater than the confidence threshold. The object can then be considered for the operation of the driving system. On the other hand, if the confidence value 24-3169

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[0069] If the confidence threshold is lower than the threshold, it is decided that the object does not exist and / or was not detected. The object is then typically not considered in the operation of the driving system.

[0070] If the system detects that the vehicle is traveling at 100 km / h on a highway where pedestrians or cyclists are not typically expected, a relatively high confidence threshold can be used for the detection of objects of the type "pedestrian" and / or "cyclist" (i.e., for the one or more object classes for non-motorized road users). This can reduce false positive detections of pedestrians or cyclists, thereby increasing the comfort and reliability of the driving system.

[0071] There may be driving situations where the lane on which vehicle 100 is located cannot be identified (almost) unambiguously based on the digital map of the road network used by vehicle 100. In particular, it may happen that two different lanes are so close together that the position data from vehicle 100's position sensor cannot be used to clearly determine which of the two lanes the vehicle 100 is on. This can occur, for example, in a so-called multi-layer situation, where a highway is located directly above or below another lane that is typically not a highway. In another example, a lane, such as a city street, may run directly next to a highway.Therefore, there may be a roadway ambiguity where it cannot be clearly determined on which roadway, out of a set of different roadways, vehicle 100 is located.

[0072] Figure 2 shows an exemplary driving situation with lane ambiguity. The vehicle 100 could be positioned on a first lane 211, next to which pedestrians 200 may be located (e.g., because the first lane 211 is a city street). Directly above the first lane 211, a second lane 212 may run, for example, as an expressway or a motorway. Based on the digital map of the road network traveled by the vehicle 100, it may not be possible to clearly determine whether the vehicle 100 is on the first lane 211 or on the second lane 212.

[0073] In the case of a road ambiguity with a certain number of different possible lanes 211, 212, it may happen that the control device 101 of the vehicle 100 determines that the vehicle 100 is on a second lane 212, on which the operation of the driving system for automated longitudinal and / or lateral guidance with the hands-off option activated is possible, even though the vehicle 100 is actually on a first lane 211, on which the hands-off option should not be used, e.g. because there may be more pedestrians 200 on or at the first lane 211 and / or because there is no physical separation between the first lane 211 and the opposite lane.

[0074] The control device 101 can be set up in a driving situation,

[0075] • where a lane ambiguity was detected between a first lane 211 and a second lane 212, whereby the activation of the hands-off option is not provided for the first lane 211, but is provided for the second lane 212; and

[0076] • where it was determined that vehicle 100 is located on the second carriageway 212,

[0077] The object detection algorithm can be adapted to detect objects from one or more object classes with increased probability and / or sensitivity. In particular, the confidence threshold for detecting objects from these one or more object classes can be reduced compared to a standard value. This can be achieved especially for the object classes "people," "pedestrians," "cyclists," and / or "structural separation from an oncoming lane."

[0078] As a result, even in the presence of road surface ambiguity, reliable and safe operation of the driving system (possibly also with the hands-off option activated) can be achieved.

[0079] Based on a digital map and the determination of the vehicle's position (using a position sensor), it can be determined whether the vehicle is located in a section with road ambiguity, for example, a section where a motorway runs directly above, below, or parallel to a non-motorway. If this is the case, the sensor sensitivity for detecting people and / or physical barriers to oncoming traffic can be temporarily and / or selectively increased for the section with road ambiguity. This may lead to false positive detections of people, which may result in the deactivation of the driving system (with control being transferred to the driver) and / or the deactivation of the hands-off option. Conversely, this can also ensure particularly safe operation of the driving system and / or the hands-off option in an area with road ambiguity.

[0080] Fig. 3 shows a flowchart of a (possibly computer-implemented) method 300 for operating a driving system for the automated longitudinal and / or lateral guidance of a motor vehicle 100. The driving system can be configured to guide the motor vehicle 100 automatically longitudinally and / or laterally on a specific roadway, in particular on a specific lane of a specific roadway. The driver 110 of the motor vehicle 100 may be enabled to activate a hands-off option. The method 300 can be executed by a control device 101 of the motor vehicle 100. The method 300 comprises the detection 301, within the scope of the operation of the driving system (i.e., during the automated longitudinal and / or lateral guidance of the motor vehicle 100), of objects from a plurality of different object classes in the environment of the motor vehicle 100 based on sensor data from one or more environment sensors 102 of the motor vehicle 100.Examples of object classes include: non-motorized road users (i.e., so-called Vulnerable Road Users, VRUs), other vehicles, and / or physical separations between different lanes.

[0081] Procedure 300 further includes taking into account 302 the detected objects during the operation of the driving system. For example, a detected vehicle ahead in the lane 100 being traveled in can be taken into account during automated longitudinal guidance (e.g. by a

[0082] From the stand controller). Alternatively or additionally, a detected lane marking can be taken into account in the automated lateral guidance (e.g. by a lane keeping assist system).

[0083] The procedure 300 further comprises determining 303, during the operation of the driving system (possibly with the hands-off option activated), that the motor vehicle 100 is positioned in a section of the road network traversed by the motor vehicle 100, in which a lane ambiguity exists between a first lane 211 of a first lane type (e.g., of the road type urban street) and a second lane 212 of a second lane type (e.g., of the road type motorway). This can be recognized on the basis of the digital map of the road network.

[0084] In particular, it can be recognized that the motor vehicle 100 is driving on a lane of the second lane type during the operation of the driving system (possibly with the hands-off option activated) and drives directly from the lane of the second lane type into a sub-area with lane ambiguity (where it is not possible to proceed with a sufficiently high degree of safety, e.g., 90% or more, 24-3169

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[0086] It can be determined whether the motor vehicle 100 is traveling on the first carriageway 211 of the first carriageway type or on the second carriageway 212, which continues to have the second carriageway type.

[0087] The object detection algorithm can be operated on a roadway of the first type with a first sensitivity (e.g., with a first confidence threshold) for detecting objects of a specific object class (e.g., the object class for non-motorized road users). Conversely, the object detection algorithm can be operated on a roadway of the second type with a second sensitivity (e.g., with a second confidence threshold) for detecting objects of the same specific object class (e.g., the object class for non-motorized road users). The first sensitivity can be higher than the second sensitivity, and the first confidence threshold can be lower than the second confidence threshold.

[0088] Method 300 comprises, in response to the determination 303 that the motor vehicle 100 is located in a sub-area with road surface ambiguity, the selective increase 304 of the sensitivity of the object detection algorithm for the detection of objects from the determined object class for the operation of the driving system (optionally with the hands-off option activated) in the sub-area with road surface ambiguity. In particular, the sensitivity can be increased from the second sensitivity to the first sensitivity (for the first road surface type). The sensitivity can be increased, for example, by reducing the confidence threshold for the confidence of the object detection algorithm.

[0089] The measures described in this document can ensure particularly reliable and safe operation of a driving system, especially a driving system with an activated hands-off option. 24-3169

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[0091] The present invention is not limited to the embodiments shown. In particular, it should be noted that the description and the figures are intended only to illustrate the principle of the proposed methods, devices, and systems by way of example.

Claims

24-3169 - 20 - Claims 1) Device (101) for operating a driving system for automated longitudinal and / or lateral guidance of a motor vehicle (100); wherein the device (101) is configured, - within the framework of the operation of the driving system, based on sensor data from one or more environment sensors (102) of the motor vehicle (100) and using an object recognition algorithm, to recognize objects from a plurality of different object classes in an environment of the motor vehicle (100) and to take them into account during the operation of the driving system; - during the operation of the driving system, to determine that the motor vehicle (100) is located in a sub-area of ​​a road network in which there is a road ambiguity between a first roadway (211) of a first roadway type and a second roadway (212) of a second roadway type; and - in response to the determination that the motor vehicle (100) is located in a sub-area with roadway ambiguity, to selectively increase the sensitivity of the object detection algorithm for the detection of objects from at least one specific object class from the plurality of object classes for the operation of the driving system in the sub-area with roadway ambiguity. 2) Device (101) according to claim 1, wherein the device (101) is configured, - within the framework of the operation of the driving system for the detection of objects from the specified object class - to use a first sensitivity of the object detection algorithm when the motor vehicle (100) is positioned on a carriageway of the first carriageway type; and24-3169 - 21 - - to use a second sensitivity of the object detection algorithm when the motor vehicle (100) is positioned on a roadway of the second roadway type; wherein the first sensitivity is higher than the second sensitivity; and - to use the first sensitivity of the object recognition algorithm for the operation of the driving system in the sub-area with roadway ambiguity, even if it has been determined that the motor vehicle (100) is located on the second lane (212) of the second lane type. 3) Device (101) according to claim 3, wherein - on roadways of the first type of roadway, the probability that a non-motorized road user (200) is positioned on or beside the roadway is higher than on roadways of the second type of roadway; and - which concerns a specific class of non-motorized road users. 4) Device (101) according to one of the preceding claims, wherein the device (101) is configured, - activating a hands-off option as part of the operation of the driving system -to prevent when the motor vehicle (100) is positioned on a carriageway of the first carriageway type; and -to enable when the motor vehicle (100) is positioned on a carriageway of the second carriageway type; wherein the hands-off option enables a driver (110) of the motor vehicle (100) to remove their hands, in particular permanently, from a steering wheel (106) of the motor vehicle (100); and -to enable the activation of the hands-off option for the operation of the driving system in the partial area with carriageway ambiguity. 24-3169 - 22 - 5) Device (101) according to claim 4, wherein the device (101) is configured, - to deactivate the activated hands-off option during the operation of the driving system if, in particular as soon as, an object from the specified object class is detected in the vicinity of the motor vehicle (100), especially on or next to the roadway traveled by the motor vehicle (100); and - as part of the deactivation of the hands-off option, in particular to issue one or more instructions to the driver (110), each of which is aimed at inducing the driver (110) to place his hands on the steering wheel (106). 6) Device (101) according to one of the preceding claims, wherein the device (101) is configured, - to determine the position of the motor vehicle (100) within a digital map of the road network traveled by the motor vehicle (100) based on sensor data from a position sensor, in particular a GNSS receiver; and - to determine, based on the determined position of the motor vehicle (100) within the digital map, that the motor vehicle (100) is located in a sub-area with road ambiguity. 7) Device (101) according to one of the preceding claims, wherein in the partial area with roadway ambiguity the first roadway (211) and the second roadway (212) run above one another, below one another and / or parallel to each other. 8) Device (101) according to one of the preceding claims, wherein the device (101) is configured to operate the object recognition algorithm for the detection of objects from the specified object class with a second sensitivity during the operation of the driving system when the motor vehicle (100) is driving on a roadway of the second roadway type; - to detect that the motor vehicle (100) is moving from the carriageway of the second carriageway type into the section with the carriageway ambiguity; and - in response to detection, to selectively increase the sensitivity of the object recognition algorithm for the detection of objects from the specified object class to a first sensitivity that is greater than the second sensitivity. 9) Device (101) according to one of the preceding claims, wherein the device (101) is configured to operate the object recognition algorithm for the detection of objects from the specified object class with a first sensitivity during the operation of the driving system, when, in particular while, the motor vehicle (100) is driving in the sub-area with road ambiguity; - to detect that the motor vehicle (100) is driving from the section with the roadway ambiguity onto a roadway of the second roadway type; and - in response to detection, reduce the sensitivity of the object recognition algorithm for detecting objects from the specified object class to a second sensitivity that is smaller than the first sensitivity. 10) Device (101) according to one of the preceding claims, wherein the device (101) is configured, - the sensitivity of the object recognition algorithm for the detection of objects from the determined object class for non-motorized- 24 - to selectively increase the sensitivity of the object recognition algorithm for the detection of objects from the specified object class for a structural separation of the roadway used by the motor vehicle (100) from an oncoming roadway for the operation of the driving system in the sub-area with roadway ambiguity; and / or to selectively increase the sensitivity of the object recognition algorithm for the detection of objects from the specified object class for a structural separation of the roadway used by the motor vehicle (100) from an oncoming roadway for the operation of the driving system in the sub-area with roadway ambiguity. 11) Method (300) for operating a driving system for automated longitudinal and / or lateral guidance of a motor vehicle (100); wherein the method (300) comprises, - Detect (301), within the operation of the driving system, objects from a plurality of different object classes in an environment of the motor vehicle (100) based on sensor data from one or more environment sensors (102) of the motor vehicle (100); - Taking into account (302) the detected objects when operating the driving system; - Determine (303), during the operation of the driving system, that the motor vehicle (100) is located in a sub-area of ​​a road network in which there is a road ambiguity between a first roadway (211) of a first roadway type and a second roadway (212) of a second roadway type; and - in response to determining (303) that the motor vehicle (100) is located in a sub-area with roadway ambiguity, selectively increase (304) a sensitivity of the object detection algorithm for the detection of objects from at least one determined object class from the plurality of object classes for the operation of the driving system in the sub-area with roadway ambiguity.

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