DE102018204069A1 - Method, device and a corresponding computer program for operating a steering and / or guidance assistant - Google Patents

Abstract

A method for operating a steering and / or guidance assistant is described. The method comprises determining performance data relating to a performance collapse of the steering and / or guidance assistant during a multiplicity of journeys of one or more first vehicles along a route. In addition, the method comprises the assignment of the performance data to position data with respect to a position along the route, in connection with which the performance dip has occurred in each case. Furthermore, the method comprises recognizing, on the basis of the performance data and the position data, an accumulation of performance drops of the steering and / or guidance assistant at at least one specific position of the driving route. Furthermore, the method comprises determining adaptation data for adaptation of at least one operating parameter and / or at least one boundary condition of the steering and / or guidance assistant for a second vehicle when the second vehicle is driving at the determined position of the driving route.

Description

The invention relates to a method, a device and a corresponding computer program for operating a steering and / or guidance assistant.

A vehicle, particularly a road vehicle, may include one or more driver assistance systems that assist a driver of the vehicle in driving the vehicle. For example, a vehicle may have a steering and / or tracking assistant that assists the driver of the vehicle in the transverse guidance of the vehicle. In this case, the driver of the vehicle can be allowed to take his hand off the steering wheel for a certain period of time. The transverse guidance of the vehicle can then be carried out automatically by the vehicle for the specific period of time.

The present document is concerned with the technical task to provide an improved method, apparatus and a corresponding computer program for operating a steering and / or guidance assistant, wherein in particular the performance, e.g. Precision, reliability and robustness of a steering and / or guidance assistant to be increased.

The object is solved by the independent claims. Advantageous embodiments are described i.a. 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 may form an independent invention independent of the combination of all features of the independent claim, the subject of an independent claim, a divisional application or a subsequent application. This applies equally to technical teachings described in the specification, which may form an independent invention of the features of the independent claims.

According to one aspect, a method for operating a steering and / or guidance assistant is described. The method may be performed, at least in part, by a vehicle-external unit. The method comprises determining performance data relating to a performance collapse of the steering and / or guidance assistant during a multiplicity of journeys of one or more first vehicles along a route. Furthermore, the method comprises the assignment of the performance data to position data with respect to a position along the route at which the performance slump occurred. In a simplified example, the said performance data may comprise an identifier in that a performance slump, in particular a specific performance slump and / or a performance slump to a certain extent, has taken place.

The said steering and / or guidance assistant is, in particular, a driver assistance function or a function for at least partially automated driving. The steering and lane guidance assistant can comprise various functionalities or performance features which support the driver or user of a vehicle, in particular partially highly automated, with respect to the guidance (in particular a so-called path guidance) of the vehicle. In particular, said steering and / or tracking assistant comprises features, e.g. an intervention, a control, a regulation, which refers to a direct or indirect influence on the so-called transverse guidance of the vehicle. Also, the said steering and / or tracking assist can be configured to correct an at least partially executed by the driver specification for lateral guidance of the vehicle.

For example, the steering and / or guidance assistant comprises an execution or support of the following driving tasks: tracking of the vehicle, in particular regulation of the transverse placement of the vehicle within a traffic lane; Lane-changing operation; Bending process; sheering; Overtaking and / or correction of a driver-initiated traverse action performed on the adaptation data.

For example, different features of the method described in this document may be used in relation to different performance features.

The performance data for a performance slump can (also) indicate an environment situation or an identification of the surrounding situation (eg information relating to the roadway, the lane markings of the roadway, etc.) in which a performance collapse of the steering and / or lane guidance assistants has taken place. Furthermore, the performance data may indicate information relating to the behavior of the guidance and / or guidance assistant in the event of a performance slump (eg a so-called take-over request, a hands-on request, a so-called release or interruption of the steering and / or steering assistance / or guidance assistant, an error message, etc.). The performance data for a performance slump can be the Position data (eg the GPS coordinates) are assigned to the position at which the performance break occurred.

In particular, a drop in performance is a short-term deviation of an operating variable of the steering and / or guidance assistant that exceeds a certain threshold, in particular a deviation from a variable that is normal or average. In this case, the degree of deviation and / or the size which is valid as normal or average can be selected as a function of the determined (current) operating mode and / or the driving situation.

The method further comprises recognizing, on the basis of the performance data and the position data, an accumulation of performance drops in the steering and / or guidance assistant, in particular of specific (types of) performance drops, at at least one specific position of the route. It can thus be recognized that there is a relatively high frequency for a performance collapse of the steering and / or lane guidance assistant at at least one specific position of the route. Position information or the position data for a position determined in this way (in connection with which the performance slump has occurred in each case) can be recorded in digital map information in relation to a road network and / or in relation to the route. In particular, the position data can be associated with digital map information or be linked with this.

For example, the said position information or the position data may e.g. Coordinates or an identification of a lane location preferably a few meters in front of said position, characterizing e.g. Start, middle and / or end of said position (for example, each viewed from a direction of travel of the first vehicle or from a possible direction of travel of the second vehicle). The position itself may be a small, limited spatial area of the roadway, e.g. to be of a few meters.

An accumulation of performance drops can be e.g. depending on an absolute number of performance slumps, in particular the number of performance slumps of a particular type. Preferably, an accumulation of (certain) performance drops is detected, depending on a proportion, e.g. Percentage, the perceived performance slump in relation to driving without significant performance slumps or to a total number of trips. For example, an accumulation of performance drops may be detected at greater than 50%, 70%, 90% of actual or estimated trips. In particular, an accumulation of (specific) performance drops can be detected as a function of the number of detected performance drops in a plurality of first vehicles in relation to an identifier of the traffic density at a specific position. In other words, a certain number of perceived performance drops in a relatively small number of journeys (in relation to the first vehicles or in general) may be considered as one of the accumulated performance deficits, whereas the same number of perceived performance drops in a (generally or in Relative to the first vehicles) relatively high number of trips is not taken into account or to a lesser extent as an accumulation of performance slumps.

In addition, the method comprises determining adaptation data for adaptation of at least one operating parameter and / or at least one boundary condition of the steering and / or guidance assistant for a second vehicle when the second vehicle is driving at the determined position of the driving route.

The said adaptation data for an adaptation of at least one operating parameter and / or at least one boundary condition of the steering and / or guidance assistant for a second vehicle when the second vehicle is driving at the determined position of the driving route may relate to one or more specific features of the steering and / or Guidance Assistants relate to or relate to these.

The adaptation data may optionally be provided with the digital map information to a second vehicle (e.g., via a wireless communication link).

The adaptation data may e.g. indicating a weighting of digital map information related to the driving route when operating the steering and / or guidance assistant at the determined position. Alternatively or additionally, the adjustment data may indicate a weighting of sensor data from one or more environmental sensors of the second vehicle during operation of the steering and / or guidance assistant at the determined position.

For example, depending on the adaptation data, it can be determined or adapted to what extent and / or under what influence on the vehicle guidance, in particular on the lateral guidance of the vehicle, in each case said data dependent on the digital map information (eg the course of a traffic lane displayed therein) / or to what extent and / or under what influence on the vehicle guidance, in particular the transverse guidance of the vehicle, in each case the said data on the basis of one or more sensors of the vehicle during operation of the steering and / or tracking assistance are taken into account. The said weighting may, for example, be indicative of the processing of the respective data, eg also for certain portions of the respective data, which should be more or less taken into account in the operation of the steering and / or guidance assistant.
In another example, the adaptation data may already be determined to explicitly or implicitly include at least one identifier for the weighting of certain data, eg, said digital map information dependent data and / or said data based on one or more sensors of the vehicle, mark. In this variant of the invention, a particularly simple applicability of the adaptation data results in the at least one second vehicle.

The application of said adjustment data in the method can be based on various aspects of the guidance of the vehicle, e.g. to an embodiment of the tracking, a change in the transverse guidance of the vehicle, on the execution of different maneuvers, etc. relate. For example, the adaptation data may include an identifier indicating one or more performance features to which the adjustment data and a particular portion of the adjustment data respectively refer. In a simplified case, the adaptation data may indicate that and / or which operating parameter and / or which boundary condition for the operation of the steering and / or guidance assistant is to be adapted in a second driving with a second vehicle.

For example, in a second driving with a second vehicle depending on the adaptation data, a (momentary) shift of the weighting of the data for operating the steering and guidance assistant from the data based on one or more sensors of the vehicle to the data based on the digital map information dependent data.

In particular, in the case of a second driving with a second vehicle, at least the steering and guidance assistant operating in a (at least predominantly used) normal operation, in particular until shortly before and / or shortly after a specific roadway location, based on the respectively current data from the sensor system, is operated, in particular, according to a control principle principle, in connection with the driving of the at least one particular lane position or position temporarily, in particular for a short time (for about 1, 2, 5, 10, 20, 30 seconds), on an operation based on further , deviating data, eg based on the data associated with a digital map. Also, a temporary suspension or a temporary replacement of a control-technical principle of action in connection with the control of at least one actuator of the vehicle can be performed.

Alternatively or additionally, the adaptation data can indicate how at least one operating parameter of the steering and / or guidance assistant is to be adapted at the specific position. The at least one operating parameter may include in particular: a tolerance time for the non-recognition of a lane marking; a tolerance time for non-recognition of a target object; a permissible hands-off time for a steering wheel of the vehicle; and / or an activability and / or an offer to activate the steering and / or guidance assistant.

In a simplified example, the adaptation data may include a, e.g. additive, multiplicative, logarithmic, etc. correction factor to one or more specific operating parameters of the steering and lane guidance assistants.

Alternatively or additionally, the adaptation data may indicate how the second vehicle is to be prepared for the operation of the steering and / or guidance assistant at the determined position. It can thus be given a boundary condition for the operation of the steering and / or guidance assistant at the specific position. Exemplary boundary conditions are: a driving speed of the vehicle and / or a positioning of the vehicle within a lane traveled by the vehicle.

By adapting the steering and / or guidance assistant to one or more specific positions of a road network, the reliability and robustness of the steering and / or tracking assistance can be increased.

The method may further include determining constraint data related to a constraint condition of the steering and / or tracking assist during a performance crash. The constraint data may include and / or indicate information regarding a vehicle speed or a vehicle speed range of a first vehicle in the event of a performance dip; Information regarding positioning of a first vehicle within a lane traveled by the first vehicle in the event of a performance dip; Information relating to a property of a lane traveled by a first vehicle in case of a performance slump; Information relating to roadside road construction in the event of a performance slump; Information relating to lighting conditions at Occurrence of the performance slump; and / or information relating to a driving situation when the performance collapse occurs.

The constraint data for the one or more performance drops may then be taken into account in detecting an accumulation of performance drops. Thus, the reliability and robustness of the steering and / or tracking assistant can be further increased. In particular, it can thus be recognized whether, in the event of a performance slump, a boundary condition exists which was the cause of the performance slump. It can then be made in the context of the adaptation data that this boundary condition is not present at a subsequent trip at the specific position in order to avoid a performance slump.

The method may include determining, based on the performance data and based on one or more criteria, whether the performance dip at the particular position of the route is an unauthorized or a legitimate performance dip. The performance data can display an environment situation of a first vehicle at the specific position when the performance collapse occurs. As an alternative or in addition, boundary condition data relating to a performance decline can be taken into account in order to determine whether the performance slump at the specific position of the route is an unjustified or a justified performance decline. Within the scope of the method, a simulation of the steering and / or guidance assistant can be performed on the basis of the performance data and / or the boundary condition data in order to determine whether a performance slump is a justified or an unjustified performance slump.

An unjustified drop in performance may be present if, according to a technical specification of the steering and / or lane guidance assistant, no performance drop at the specific position should occur in the displayed environment situation and / or in the displayed boundary conditions. On the other hand, a justified performance decline may be present if the steering and / or guidance assistant is not designed for operation in the displayed environment situation and / or in the displayed boundary conditions.

The adjustment data may be determined depending on whether the performance decline at the particular position is justified or unauthorized. Alternatively or additionally, the adjustment data may be determined depending on a number of performance drops at the particular position that have been classified as eligible. Alternatively or additionally, the adjustment data may be determined as a function of a number of performance drops at the particular position that have been classified as unauthorized. Thus, the reliability and robustness of a steering and / or tracking assistant can be further increased.

The method may include determining current performance data relating to a performance of the steering and / or guidance assistant during the drive of the second vehicle at the determined position of the driving route with the adjusted at least one operating parameter and / or with the at least one adapted boundary condition. The previously determined adaptation data can then be checked on the basis of the current performance data and adjusted if necessary. The adaptation data can thus be determined in an iterative manner and checked by feedback from one or more second vehicles and possibly adjusted. Thus, the operation of the steering and / or tracking assistant at the particular position can be iteratively optimized.

According to a further aspect, a method for operating a steering and / or guidance assistant of a (second) vehicle is described. The method may be performed by a control unit of the vehicle. The method comprises determining position data relating to a specific position along a route traveled by the vehicle. In particular, it can be recognized (on the basis of digital map information relating to the route) that the vehicle is approaching the specific position. Furthermore, on the basis of the digital map information, a performance collapse of the steering and / or guidance assistant at the specific position can be predicted.

In addition, the method comprises determining adaptation data for an adaptation of at least one operating parameter and / or for at least one vehicle-dependent boundary condition of the steering and / or guidance assistant for application when driving on the determined position of the driving route.

The adaptation data is preferably determined for an adaptation of at least one operating parameter and / or for at least one vehicle-dependent boundary condition of the steering and / or guidance assistant depending on the one or more ascertained accumulations of the performance dips. The adaptation data can be determined in order to prevent a (renewed) performance slump, in particular a performance slump of a certain type.

Furthermore, the method comprises operating the steering and / or tracking assistant (in particular the setting of the operating parameter) and / or of the vehicle (in particular to set a boundary condition) at the specific position as a function of the adaptation data.
In a second driving with a second vehicle, the respective adjustment data, in particular a current or imminent position, can be determined as a function of the digital map information.

In particular, at least one operating parameter of the steering and / or guidance assistant can be adapted as a function of the adaptation data (in the case of a second driving). Alternatively or additionally, at least one boundary condition of the operation of the steering and / or guidance assistant can be adapted before reaching the specific position as a function of the adaptation data. Thus, the reliability and robustness of the steering and / or tracking assistant can be increased.

The method may include determining first constraint data with respect to at least one constraint where at least one performance crash of the steering and / or tracking assist has occurred at the determined position in the past. In addition, the method may include determining second constraint data with respect to the at least one constraint on the ride of the (second) vehicle at the determined position of the drive route. Further, the method may include comparing the first constraint data and the second constraint data.

Depending on the comparison, a performance dip of the steering and / or tracking assistant at the particular position may then be predicted (e.g., if the constraints are relatively similar). Alternatively or additionally, the steering and / or tracking assistant and / or the vehicle can be operated at the specific position in dependence on the comparison. For example, the adaptation data can only be taken into account if the boundary conditions are relatively similar. By taking into account the currently existing boundary conditions, the reliability and robustness of the steering and / or guidance assistant can be further increased.

According to a further aspect, a method for operating a steering and / or guidance assistant of a vehicle is described. The method may be performed by a device of a (first) vehicle. The method comprises the acquisition of performance data relating to a drop in performance of the steering and / or guidance assistant during a first drive along a route. In addition, the method comprises assigning the performance data to position data with respect to a position along the route at which the performance dip occurred. Furthermore, the method comprises providing the performance data and the position data. For example, the performance data and the position data may be sent to a vehicle-external unit. The performance data and the position data can be used to adapt at least one operating parameter and / or at least one boundary condition of the steering and / or guidance assistant during a second journey along the route. Thus, the reliability and robustness of a steering and / or tracking assistant can be increased.

According to a further aspect, a device for operating a steering and / or guidance assistant is described, wherein the device is set up to carry out at least one of the methods described in this document. In this case, the device may comprise at least one computing unit separate from a vehicle.

In another aspect, a road vehicle (particularly a passenger car or a truck or a bus) is described that includes the device described in this document.

According to a further aspect, a computer program, in particular a computer program product comprising a computer program, is described, wherein the computer program is designed to carry out at least one computing unit of a vehicle and / or at least one computing unit arranged at a distance one or more of the methods described in this document ,

The computer program product can be embodied as an update of a previous computer program which, for example, includes the parts of the computer program or of the corresponding program code as part of a functional expansion, for example as part of a so-called "remote software update". In particular, the computer program product comprises a medium readable by the data processing device on which the program code is stored, or at least an encrypted file. In another aspect, a program product is described that includes authorized access to stored data of the computer program product.

It should be noted that the methods, devices and systems described in this document, both alone and in combination with Other methods, devices and systems described in this document may be used. Furthermore, any aspects of the methods, devices, and systems described herein may be combined in a variety of ways. In particular, the features of the claims can be combined in a variety of ways.

• 1 eine beispielhafte Fahrsituation eines Fahrzeugs;
• 2 beispielhafte Komponenten eines Fahrzeugs;
• 3a, 3b und 3c Ablaufdiagramme von beispielhaften Verfahren zum Betreiben eines Querführungsassistenten; und
• 4 ein Diagramm mit beispielhaften Verarbeitungsschritten im Rahmen des Betriebs eines Querführungsassistenten.

Furthermore, the invention will be described in more detail with reference to exemplary embodiments. Show

• 1 an exemplary driving situation of a vehicle;
• 2 exemplary components of a vehicle;
• 3a . 3b and 3c Flowcharts of example methods for operating a lateral guidance assistant; and
• 4 a diagram with exemplary processing steps in the context of the operation of a Querführungsassistenten.

As set forth above, the present document is concerned with increasing the reliability and robustness of a vehicle lateral guidance assistant. In this context shows 1 an exemplary driving situation in which a vehicle 100 on a multi-lane roadway 105 moves. The vehicle 100 can be on a first lane behind another vehicle 101 drive. The vehicle 100 may comprise a transverse guidance assistant, in particular a steering and / or guidance assistant, who is the driver of the vehicle 100 It helps to drive within the first lane and / or to change the lane.

• • die Qualität der Fahrbahn 105;
• • die Qualität von Spurmarkierungen auf der Fahrbahn 105; und/oder
• • Sicht-, insbesondere Licht-, Verhältnisse, etc.

The quality or performance of a lateral guidance assistant typically depends on one or more constraints. Exemplary boundary conditions are

• • the quality of the roadway 105 ;
• • the quality of lane markings on the road 105 ; and or
• • Visual, especially light, ratios, etc.

It may thus vary the quality and / or reliability with which the one or more lanes of a lane 105 can be recognized. As a consequence, the quality or performance of a lateral guidance assistant can vary, in particular locally. In particular, it may be in certain places or positions 102 a road network more often than average to certain drops in the performance of a steering and / or guidance assistant come.

2 shows a block diagram with exemplary components of a vehicle 100 , The vehicle 100 includes one or more environmental sensors 201 (For example, an image sensor, a camera, a radar sensor, an ultrasonic sensor, a LIDAR sensor, etc.). Furthermore, the vehicle includes 100 a control unit or a device 200 , which is set up, a lateral guidance assistance function for the vehicle 100 provide. For this purpose, the sensor data of the one or more environment sensors 201 be evaluated, for example, to detect a lane boundary of a currently traveled lane. In addition, the control unit 200 be set up, at least one actor 203 of the vehicle 100 to provide the lateral guidance assistance function. For example, a steering of the vehicle 100 be automatically operated to the vehicle 100 depending on the detected lane boundary to keep within a currently traveled lane.

The control unit 200 of the vehicle 100 may be arranged to determine a location-related performance indicator for the lateral guidance assistant. In particular, during a first trip of the vehicle 100 at a certain point or position 102 a road network is an indicator of the quality or performance of the assistant during this period 102 be determined. The performance indicator (also referred to as performance data in this document) may then be in the same place on a subsequent second trip 102 be taken into account to adjust one or more operating parameters of the lateral guidance assistant, and thereby the quality or performance of the lateral guidance assistant at this point 102 to increase.

It may thus be a location-related performance indicator to the steering and / or guidance assistant of a vehicle 100 be recorded. Such a performance indicator can be for a specific job 102 a roadway 105 or a road network in the event of a large number of transits of the particular location 102 by one or more vehicle 100 be recorded. The collected data (in particular the collected performance indicators) can be aggregated offline (with each other and / or with other data). For example, the performance indicators may be via a (wireless) communication link 111 from one or more vehicles 100 to a central unit 110 (eg to a backend server) in which the evaluation of the performance indicators or the performance data takes place.

• • Information in Bezug auf die Güte und/oder die Performance eines Lenk- und/oder Spurführungsassistenten; und/oder
• • ein oder mehrere angepasste Betriebsparameter des Lenk- und/oder Spurführungsassistenten an der jeweiligen Stelle 102.

The learning data based on the aggregation of performance indicators can be linked to a digital map of the road network (eg via an up-channel). In particular, in a digital map or in the digital map information performance information provided for one or more different bodies 102 of the road network indicates

• • information regarding the quality and / or performance of a steering and / or guidance assistant; and or
• • one or more adjusted operating parameters of the steering and / or guidance assistant at the respective location 102 ,

In a later operation of the steering and / or tracking assistants (possibly also in one or more other vehicles), the performance information can be read online (eg via the communication link 111 to be provided). The logic and / or parameterization of the steering and / or guidance assistant can then when driving to a specific location 102 a road network (which can be identified by (GPS) coordinates, for example). Thus, the reliability and robustness of a steering and / or tracking assistant can be increased.

The control unit 200 of a vehicle 100 Thus, clusters of performance drops of a steering and / or guidance assistant at one or more specific positions 102 of a road network. If necessary, a connection between the performance slumps and other boundary conditions (speed, time of day, traffic situation, etc.) can also be taken into account. If similar boundary conditions are present when driving again, the probability of prediction for a performance slump typically increases and stronger changes of one or more operating parameters of the steering and / or lane guidance assistant can be initiated, if required, in order to further increase the performance.

Depending on the determined data (eg of specific accumulations of certain performance dips), a specific forward-looking (typically short-term) change of the operating parameters of the steering and / or lane guidance assistant is preferably initiated in order to avoid, mitigate or reduce the expected performance drop for a driver of the driver vehicle 100 to increase.

3a shows a flowchart of an exemplary method 300 for operating a steering and / or guidance assistant (or in general a transverse guidance assistant). The procedure 300 can eg by a vehicle-external central unit 100 (eg by a backend server). The procedure 300 includes determining 301 performance data relating to a performance crash of the steering and / or guidance assistant in a plurality of journeys of one or more first vehicles 100 along a route. The performance data may include environmental sensor data from one or more environmental sensors 201 a first vehicle 100 comprise, wherein the environmental sensor data an environment situation in the environment of the first vehicle 100 show when the performance slump occurs. Alternatively or additionally, the performance data may include data of the steering and / or tracking assistants, which describe the performance collapse of the steering and / or guidance assistant. For example, a (possibly unauthorized) TOR (take-over request), an (possibly unauthorized) HOR (hands-on request), an (possibly unauthorized) dropping of the steering and / or guidance assistant, a fault condition of the steering - and / or tracking assistants, etc. are displayed. This information can be from a vehicle electrical system of a first vehicle 100 be obtained.

In addition, the process includes 300 the assignment 302 the performance data to position data in relation to a position 102 Along the route where the performance slump occurred. The position data can eg by means of a position sensor 204 a first vehicle 100 be recorded. The position data can eg GPS coordinates of the position 102 include. It can thus be detected at which position 102 a performance slump occurred.

Furthermore, the method comprises 300 the recognition 303 on the basis of the performance data and the position data, an accumulation of performance drops of the steering and / or guidance assistant at at least one specific position 102 the route. For example, a frequency value can be determined, which is the (relative) frequency of a performance decline at a certain position 102 the route indicates. The frequency value may then be compared to a frequency threshold, and may be a particular position 102 where the frequency value is above the frequency threshold.

In addition, the process includes 300 the determining 304 of adaptation data for an adaptation of at least one operating parameter (eg a tolerance time) and / or of at least one boundary condition (eg a driving speed and / or an orientation of a vehicle 100 ) of the steering and / or tracking assistant for a second vehicle 100 when driving the second vehicle 100 at the specific position 102 the route. In particular, the adaptation data may be a second vehicle 100 be provided (eg in the context of digital map information). The customization data may indicate that at the certain position 102 a performance slump is expected. Furthermore, the adjustment data may be displayed, such as the steering and / or guidance assistant at the particular position 102 to operate, and / or as the second vehicle 100 as part of the operation of the steering and / or guidance assistant at the specific position 102 is to operate the performance drop at the specific position 102 for the second vehicle 100 to reduce or completely avoid.

3b shows a flowchart of an exemplary method 310 for operating a steering and / or guidance assistant of a vehicle 100 , The procedure 310 can by a control unit 101 of a (second) vehicle 100 be executed. The procedure 310 includes determining 311 of positional data relating to a particular position 102 along one of the vehicle 100 traveled route. In particular, it may be determined (eg, based on digital map information relating to a road network) that at a certain forward position 102 a (possibly planned) route a performance dip of the steering and / or lane guidance assistant is to be expected. For this purpose, a navigation system 202 of the vehicle 100 be used.

In addition, the process includes 310 the determining 312 of adaptation data for an adaptation of at least one operating parameter and / or for at least one vehicle-dependent boundary condition of the steering and / or guidance assistant during the drive of the vehicle 100 at the specific position 102 the route. The adaptation data may be from a vehicle-external unit 110 be obtained. In this case, the adaptation data can be stored and / or provided in connection with the digital map information.

The procedure 310 further includes the operation 313 the steering and / or guidance assistant and / or the vehicle 100 at the specific position 102 depending on the adjustment data. In this case, in particular, an operating parameter of the steering and / or guidance assistant (eg a tolerance time) can be adjusted. Alternatively or additionally, a boundary condition during operation of the steering and / or tracking assistance (eg a driving speed of the vehicle 100 ) be adjusted. Thus, the reliability and robustness of the operation of a steering and / or tracking assistant can be increased.

3c shows a flowchart of an exemplary method 320 for operating a steering and / or guidance assistant of a vehicle 100 , The procedure 320 can through the control unit 101 a (first) vehicle 100 be executed. The procedure 320 includes capturing 321 performance data relating to a drop in performance of the steering and / or guidance assistant during a first drive along a route. In addition, the process includes 320 the assignment 322 the performance data to position data in relation to a position 102 along the route where the performance slump occurred.

The procedure 320 further comprises providing 323 the performance data and the position data for adapting at least one operating parameter and / or at least one boundary condition of the steering and / or guidance assistant during a second drive along the route. The performance data and the position data can be sent eg to a vehicle-external unit 110 sent, the performance data and position data for a variety of trips and / or vehicles 100 collects and evaluates to provide customization data.

It is thus a procedure 300 . 310 . 320 for operating a steering and tracking assistant described. The procedure 300 . 310 . 320 can capture 301 . 311 a performance crash of a steering and tracking assistant during one or more trips on a route with one or more first vehicles 100 include. In other words, with multiple rides on a specific lane 105 Performance data relating to a performance slump can be captured.

It can then be an assignment 302 characterizing an information, the one or more performance slumps to an identifier of the corresponding position 102 done within the route. In addition, a detection 303 accumulations for one or more specific performance drops in one or more specific positions 102 along the route based on the associated data.

The procedure 300 can also customize 304 at least one operating parameter of the steering and tracking assistant on a second trip to the one or more of said positions 102 with a second vehicle 100 include.

For example, a performance dip may be a short-term unavailability, an at least partial shutdown, or a cancellation of at least one performance feature of the steering and lane guidance assistant. Alternatively or additionally, a performance drop may relate to a (certain) deviation in the tracking, for example, a disproportionate lateral deviation to a trace line or to a roadway edge of the traveled carriageway 105 ,

An identifier related to the position 102 (along a roadway 105 ) one or more position information and / or combinations of (eg geometric) parameters of the position 102 the roadway 102 and / or image information from the site 102 Include the roadway or be. The identifier related to the position 102 can be part of the position data described in this document.

In this case, an information characterizing the performance slump may include a qualitative and / or quantitative identifier of the performance slump. The information characterizing the performance dip can be part of the performance data described in this document. For example, the information may indicate its dangerousness. Alternatively or additionally, an information characterizing the performance slump may indicate an associated comfort restriction. Alternatively or additionally, information characterizing the performance dip may be the behavior of the guidance and guidance assistant at the identified location 102 describe.

The said at least one operating parameter of the steering and tracking assistant may include the functional logic, function parameters, coefficients, a tolerance with respect to a parameter, e.g. Time, deviation, etc., concern.

The second vehicle 100 (which uses the information characterizing the performance slump) preferably differs from the one or more first vehicles 100 (which provide the performance data). Possibly. can the second vehicle 100 the first vehicle 100 correspond (if it is the same place 102 or position 102 a roadway 105 is traveling).

For example, fleet learning can be performed to characterize the information to determine the performance dip. Possibly. The information may be provided for performance and / or adaptation data for a fee.

As part of the procedure 300 For example, one or more clusters for one or more specific performance drops may be assigned to corresponding boundary conditions of the operation of the guidance and guidance assistant. Preferably, certain performance drops can be processed with respect to certain boundary conditions. In particular, it is possible to determine and take into account a statistical relationship between certain boundary conditions and performance drops occurring at specific positions.

Particularly preferred may be this step of the method 300 on a backend server 110 (ie "offline"). This has the advantage that larger and cheaper computing resources are available.

• • ein oder mehrere Geschwindigkeitsbereiche, z.B. (in km/h) 0-15, 15 - 30, 30-50, 50-70, 70-130, 130-180, 180-210;
• • Position des Fahrzeug 100 in Relation zu Spurenmarkierungen, Rand, Querablage, Winkel, etc.;
• • ein vertikaldynamischer Einfluss und/oder eine Neigung der Fahrbahn 105;
• • ein Parameter der Randbebauung, z.B. Vorhandensein sog. erhabener Objekte;
• • Tageszeit, Ausleuchtungsparameter: Helligkeit, Dunkelheit, tiefstehende Sonne, etc.; und/oder
• • Ampelschaltungen, Parameter der Fahrsituation (Vorder-Fahrzeug 101, Nachbarspur, etc.).

The boundary conditions can be recorded and considered as value ranges of certain parameters. Preferably, several different boundary conditions are taken into account. Preferred examples of the boundary conditions are:

• • one or more speed ranges, eg (in km / h) 0-15, 15-30, 30-50, 50-70, 70-130, 130-180, 180-210;
• • Position of the vehicle 100 in relation to trace marks, edge, cross-stock, angle, etc .;
• • a vertical dynamic influence and / or inclination of the roadway 105 ;
• • a parameter of the edge development, eg presence of so-called raised objects;
• • Daytime, illumination parameters: brightness, darkness, low sun, etc .; and or
• • Traffic lights, parameters of the driving situation (front vehicle 101 , Neighbor track, etc.).

As part of the procedure 300 can one or more unjustified performance slumps based on predetermined criteria from multiple trips or vehicles 100 be recognized as such, aggregated and taken into account, wherein the detection of one or more unauthorized performance slumps and / or the aggregation preferably outside the one or more first vehicles 100 eg in a backend server 110 , he follows.

Particularly preferably, the distinction between the legitimate and unauthorized performance slumps in a spaced arranged computing unit, eg in a back-end server 110 , In this case, it is also possible to carry out a simulation in relation to a detected performance drop and to a desired behavior of the steering and guidance assistant.

Preferably, the change takes place 313 the at least one operating parameter of the steering and guidance assistant depending on the number of legitimate and / or unjustified performance drops, the one or more specific positions 102 affect.

As part of the procedure 310 may be an approach of a second vehicle 100 to a position 102 with an accumulation of a particular one Performance decline can be detected. In response thereto, a predictive prediction of performance degradation of the steering and tracking assistants may be made, in particular a prediction of one or more parameters of a particular undesired effect.

In this case, the first boundary conditions, in which an accumulation of the performance drops was detected, and / or the second boundary conditions that are present or expected during repeated access are particularly preferred.

In this case, the similarity of the one or more second boundary conditions with the one or more first boundary conditions can be determined and taken into account. Depending on the degree of similarity of the one or more second constraints to the one or more first constraints, an expected confidence or expectation probability for the occurrence of a (similar) undesired effect may occur in the at least one second run of the roadway location 102 be set or accepted. On this basis, a change in the one or more operating parameters can be made by which the performance of the steering and lane guidance assistant is increased.

In this regard, the determined one or more qualitative parameters and / or quantitative parameters of the performance decline, e.g. the nature and strength of the performance decline.

As part of the procedure 300 At least one operating parameter of the lane and steering assistant may relate to a weighting of map information and / or sensor information. For example, can briefly, for about 5, 10, 20, 30, 100, 150 meters at certain positions 102 inside the carriageway 105 , are mainly driven by the map information. Alternatively or additionally, card information may be undervalued (again at possibly other locations). Thus, an uncertainty or malfunction of the steering and / or lane assistant can be avoided.

• • eine Toleranzzeit für nicht vorhandene und/oder nicht erkannte Spurenlinien ;
• • eine Toleranzzeit für einen Zielobjektverlust (z.B. fehlende Daten zum vorausfahrenden Fahrzeug 101);
• • eine Toleranzzeit für das Loslassen des Lenkrads durch den Fahrer (sog. Hands-Off-Zeit); und/oder
• • eine Aktivierbarkeit und/oder ein Aktivierungsangebot des Lenk- und Spurführungsassistenten für einen vorausliegenden Fahrbahnabschnitt.

As part of the procedure 300 . 310 For example, one or more of the following operating parameters of the lane and steering assistant can be changed during the second drive, in particular with foresight:

• • a tolerance time for missing and / or unrecognized trace lines;
• • a tolerance time for a target object loss (eg missing data for the vehicle in front) 101 );
• • a tolerance time for the release of the steering wheel by the driver (so-called hands-off time); and or
• • an activatability and / or an activation offer of the steering and guidance assistant for a preceding lane section.

As part of the procedure 300 can be at least a second constraint in connection with an impending driving on a position 102 with the accumulation of certain performance drops anticipated, whereby the adjustment serves to avoid or reduce the expected performance decline.

It can be between a second boundary condition with the vehicle 100 related, eg a driving style of the vehicle 100 or a position of the vehicle 100 with respect to one or more particular lane lines, and a second boundary condition other than the vehicle 100 related, for example, fog, rain, low sun or a specific traffic situation, are distinguished. It can be done adjusting a resulting combination of several second boundary conditions.

Preferred may be for the one or more positions 102 generate corrective data records and upon reaching the respective position 102 be retrieved within the driving distance. Such data records can be found eg in a backend server 110 (with relatively much computing power or by simulation based on the described data) can be determined.

In a second driving the one or more said positions 102 an occurrence or non-occurrence of the performance collapse can be determined and taken into account in at least one changed operating parameter of the steering and guidance assistant. It can thus be determined iteratively in a sequence of journeys an optimum with respect to the one or more operating parameters of the steering and guidance assistant. Thus, an optimal set of operating parameters, eg with regard to certain boundary conditions, can be determined step by step. For example, the change of one or more operating parameters may be carried out to different degrees during different journeys. These one or more operating parameters can thus be adjusted gradually until a sufficient performance improvement is achieved. In this context, it is particularly relevant to record the non-occurrence of a performance dip (for certain effects).

Furthermore, this document discloses a device 200 for the operation of a steering and lane guidance assistant (for a second vehicle 100 that a job 102 with a recognized drop in performance of the steering and lane guidance assistant happened).

The device 200 can be set up, an identifier for a position 102 within the route or a probable route of the second vehicle 100 to investigate. Furthermore, a conclusion can be drawn that a position or location 102 with a certain accumulation of earlier performance dips in the data of first vehicles 100 imminent.

The device 200 is further configured, one or more second boundary conditions of the second vehicle 100 to investigate. Furthermore, a comparison with the at least one first boundary condition, to which the at least one accumulation relates, can take place. In addition, the device can 200 be arranged, the change of at least one operating parameter of the steering and guidance assistant with respect to the corresponding position 102 and / or to cause a change in at least one vehicle-dependent boundary condition, eg the vehicle speed, the vehicle mode, etc., in such a way that an imminent performance drop of the steering and lane guidance assistant is eliminated or reduced.

The device 200 may be formed, one of the methods described in this document 300 . 310 . 320 perform.

In addition, in this document, an information processing apparatus 110 for operating a steering and guidance assistant in several second vehicles 100 described. The information processing device 110 includes at least one of the one or more second vehicles 100 spaced apart arithmetic unit, wherein the arithmetic unit is configured to receive, process and send the data to carry out the method described in this document 300 , In particular, the information device 110 be configured to cause a map update depending on the determined information (active). For example, with a success expectation.

For example, the control unit or device 200 of a vehicle 100 from the GPS coordinates of the vehicle 100 , from the direction of travel of the vehicle 100 , and / or determine from the at least probable vehicle route that on the drive of the vehicle 100 a position 102 with a certain accumulation of earlier performance slump of the steering and lane guidance assistant is imminent. It can then be the second boundary conditions of the vehicle 100 be compared with the first boundary conditions to which the at least one clustering refers.

If a similarity, in particular agreement, of the first boundary conditions and of the second boundary conditions is determined, a suitable change of at least one operating parameter of the steering and guidance assistant with respect to the corresponding position or location can be determined 102 determined and on reaching (or shortly before reaching the position 102 ). Alternatively or additionally, an adaptation of at least one vehicle-dependent boundary condition, for example the vehicle speed, the vehicle mode, etc., can be initiated.

Thus, at least one of the causes of a predicted occurrence of the performance decline can be eliminated or reduced. It can be determined, resulting in a better driving experience for a driver of the vehicle 100 leads: change of at least one boundary condition, eg speed; or changing the operating parameter of the steering and guidance assistants; or both changes, in particular in an appropriate measure.

• • die Art des Performanceeinbruchs, z.B. eine von mehreren vordefinierten Kategorien;
• • ein Parameter des Performanceeinbruchs, z.B. Stärke, Gefahrenpotential, Komforteinschränkung, etc.;
• • eine oder mehrere Randbedingungen in Zusammenhang mit dem Performanceeinbruch; und/oder
• • die Kennung der entsprechenden Fahrbahnstelle 102, insbesondere eine oder mehrere Positionsinformationen, z.B. GPS-Koordinaten.

If at one point 102 If the performance of the steering and lane guidance assistant has dropped, then one or more indicators (as performance data) can be determined, which characterize:

• • the type of performance slump, eg one of several predefined categories;
• • a parameter of the performance collapse, eg strength, danger potential, comfort restriction, etc .;
• • one or more constraints related to the performance dip; and or
• • the identifier of the corresponding lane location 102 , in particular one or more position information, eg GPS coordinates.

The position information may be global, eg as corresponding GPS coordinates. Alternatively or additionally, a position information can also be specified locally and / or in relation to local conditions, eg trace lines, roadway edge, etc. Particularly preferred are one or more local position information, eg a position, an angle of the vehicle 100 inside the carriageway 105 or lane, and at least one global position information combined.

• • die Tatsache, dass ein Performanceeinbruch erfolgt ist, und dass ggf. anschließend eine Wiederverfügbarkeit erkannt wurde;
• • die Ausgabe eines Take-Over-Requests und/oder die Ausgabe eines (unberechtigten) Hands-On-Requests erfolgt ist;
• • einen Abbruch des Lenk- und Spurführungsassistenten erfolgt ist;
• • einen Grund für den Abbruch des Lenk- und Spurführungsassistenten;
• • einen Geschwindigkeitsbereich (z.B. 0-15 km/h, 15-30 km/h, 30-50 km/h, 50-70 km/h, 70-130 km/h, 130 -180 km/h, 180 - 210 km/h), in dem der Performanceeinbruch erfolgt ist;
• • eine Beschreibung der Sollfunktion des Lenk- und Spurführungsassistenten (z.B. aktiv regelnd mit/ohne einer Längsführung z.B. ACC, DCC); und/oder
• • GPS-Koordinaten beim Eintritt des Effekts des Performanceeinbruchs; und/oder die Position des Fahrzeugs innerhalb der Spur.

In the context of a large number of first trips, (contiguous, assigned) data records can relate to a decline in performance at a specific point 102 be captured (as performance data). It can display a record,

• • the fact that a performance dip has occurred and, if applicable, subsequently a re-availability has been detected;
• • the issue of a take-over request and / or the issue of an (unauthorized) hands-on request has taken place;
• • an abort of the steering and guidance assistant has occurred;
• • a reason for canceling the steering and guidance assistant;
• • a speed range (eg 0-15 km / h, 15-30 km / h, 30-50 km / h, 50-70 km / h, 70-130 km / h, 130-180 km / h, 180-210 km / h) in which the performance slump occurred;
• • a description of the setpoint function of the steering and guidance assistant (eg actively controlling with / without a longitudinal guidance eg ACC, DCC); and or
• • GPS coordinates when the effect of the performance slump occurs; and / or the position of the vehicle within the lane.

The data record relating to a performance dip can be stored in a buffer, eg a ring buffer data structure, within the vehicle 100 get saved. For example, the data record can be handled as so-called adaptive data. The data record can then be a computer unit at a distance 110 to be provided.

The information obtained during several trips with one or more first vehicles 100 can be in a spaced computing unit 110 , eg a backend, adjusted, in particular evaluated statistically. In this case, suprathreshold accumulations of appearances of certain (justified and / or unjustified) performance slumps can be determined.

In one or more second trips through one or more second vehicles 100 On the basis of the adjusted information, data (in particular adaptation data) can be provided and / or read in and taken into account.

The resulting adaptation data may then be in a second vehicle 100 , for example on another second trip, at the position 102 be used within the driving distance. In this case, a reduction or change in the available features of the vehicle function can be done. In this case, it can be caused that certain functional features in connection with the said roadway location 102 , eg before and after the lane 102 , are not activated in a defined spatial environment, their activation is not (actively) offered to the driver, they are not activated (even with an active control request of the driver), etc.

Alternatively, if the vehicle function is already active, the driving function may be demoted predictively, e.g. the driving function can only be degraded to a necessary extent, in particular only certain features.

If only a relatively short decline in performance is to be expected, a suitable, e.g. dependent on the second boundary conditions, bridging mode can be activated.

If, according to data, a sufficiently good performance is to be expected in the next route section, an activation offer for the steering and lane guidance assistant, in particular actively initiated, or only for certain features of the vehicle function can be output.

• • ein oder mehrere bestimmte Positionen 102 in einem Straßennetz anzuzeigen, an denen ein Performanceeinbruch des Querführungsassistenten erfolgen kann; und/oder
• • Anpassungsdaten für die bestimmte Position 102 anzuzeigen, um einen Performanceeinbruch zu reduzieren oder zu vermeiden.

4 shows an exemplary data processing in the context of a Querführungsassistenten, in particular a steering and / or tracking assistant. In particular shows 4 like digital map information 410. for a navigation system 202 of a vehicle 100 can be added to

• • one or more specific positions 102 to indicate in a road network at which a performance collapse of the lateral guidance assistant can take place; and or
• • Adjustment data for the specific position 102 to reduce or avoid a performance dip.

The measures described in this document can significantly increase the performance of a steering and guidance assistant. In this case, the measures described can be at least partially also subsequently used in already delivered vehicles (eg by updating a digital map 410. ). Furthermore, a suitable behavior of a vehicle can be effected in road sections which are connected to the sensor system 203 of the vehicle are not reliably controlled. In addition, a reduction in driver irritation due to changing performance of a steering and lane guidance assistant can be effected.

The present invention is not limited to the embodiments shown. In particular, it should be noted that the description and figures are intended to illustrate only the principle of the proposed methods, apparatus and systems.

Claims (17)

Method (300) for operating a steering and / or guidance assistant; the method (300) comprising - determining (301) performance data relating to a performance crash of the steering and / or guidance assistant during a plurality of journeys of one or more first vehicles (100) along a route; - associating (302) the performance data to position data relating to a position (102) along the route in relation to which the performance dip occurred; - detecting (303), based on the performance data and the position data, an accumulation of performance drops in the steering and / or guidance assistant at at least one specific positions (102) of the route; and - determining (304) adaptation data for an adaptation of at least one operating parameter and / or at least one condition for operating the steering and / or guidance assistant for a second vehicle (100) when the second vehicle (100) is driving at the determined position (102) the route. Method (300) according to Claim 1 wherein the method comprises (300), - determining boundary condition data with respect to a boundary condition of the steering and / or guidance assistant in the event of a performance slump; specifically include and / or indicate the constraint data: information relating to a vehicle speed or a vehicle speed range of a first vehicle (100); - information relating to positioning of a first vehicle (100) within a lane traveled by the first vehicle (100); Information regarding a property of a roadway (105) traveled by a first vehicle (100); - information relating to a roadside perimeter of the roadway (105); - information relating to lighting conditions when the performance collapse occurs; and / or - information relating to a driving situation when the performance collapse occurs; and - the constraint data is considered in recognizing (303) an accumulation of performance drops. Method (300) according to one of the preceding claims, wherein the method (300) comprises, based on the performance data and based on one or more criteria, determining whether the performance dip at the particular location (102) of the route is an unauthorized or a legitimate performance dip; the performance data indicate an environment situation of a first vehicle (100) at the determined position (102) when the performance collapse occurs; an unjustified performance slump exists, in particular, if, according to a technical specification of the steering and / or guidance assistant, no performance drop at the determined position (102) should occur in the displayed environment situation; and - A legitimate performance slump especially if the steering and / or tracking assist is not designed for operation in the displayed environment situation. Method (300) according to Claim 3 wherein the method (300) comprises performing a simulation of the operation of the steering and / or tracking assistant based on the performance data to determine whether a performance dip is a legitimate or unauthorized performance dip. Method (300) according to one of Claims 3 to 4 in which the adaptation data are determined, - depending on whether the performance slump at the given position (102) is justified or unjustified; and / or - depending on a number of performance drops at the particular location (102) that have been classified as authorized; and / or - depending on a number of performance drops at the particular location (102) that have been classified as unauthorized. The method (300) of any one of the preceding claims, wherein the match data indicates - a weighting of data based on digital map information (410) related to the operation of the steering and / or guidance assistant at the determined position (102); and or - A weighting of data based on one or more environmental sensors (201) of the second vehicle (100) during operation of the steering and / or tracking assistant at the particular position (102). Method (300) according to one of the preceding claims, wherein the method (300) comprises, determining current performance data relating to a performance of the steering and / or guidance assistant when the second vehicle (100) is driving at the determined position (102) Route with the adapted at least one operating parameter and / or with the at least one adapted boundary condition; and - checking the adjustment data based on the current and / or updated performance data. A method (310) for operating a steering and / or tracking assistant of a vehicle (100); the method (310) comprises - determining (311) position data relating to a particular position (102) along a route traveled by the vehicle (100); - determining (312) adaptation data for an adaptation of at least one operating parameter and / or for at least one vehicle-dependent boundary condition of the steering and / or guidance assistant when the vehicle (100) is driving at the determined position (102) of the driving route; and - operating (313) the steering and / or guidance assistant and / or the vehicle (100) at the determined position (102) in dependence on the adaptation data. Method (310) according to Claim 8 wherein the method (310) comprises, - detecting, based on digital map information (410) regarding the route, that the vehicle (100) is approaching the determined position (102); in response, predicated, based on the digital map information (410), a performance crash of the guidance and / or guidance assistant at the determined location (102); and - in response, determining (312) the adjustment data to at least reduce the predicted performance decline. Method (310) according to one of Claims 8 to 9 wherein the method (310) comprises, - determining first boundary condition data with respect to at least one boundary condition in which at least one performance drop of the steering and / or guidance assistant has taken place in the past at the determined position (102); - determining second constraint data with respect to the at least one constraint upon travel of the vehicle (100) at the determined position (102) of the driving route; Comparing the first constraint data and the second constraint data; and Predicting a performance crash of the steering and / or guidance assistant at the determined position (102) and / or operation (313) of the steering and / or guidance assistant and / or the vehicle (100) at the determined position (102) Dependence on the comparison. Method (310) according to one of Claims 8 to 10 wherein, at least one operating parameter of the steering and / or tracking assistant is adjusted in dependence on the adaptation data; and - which comprises at least one operating parameter in particular, - a tolerance time for the non-recognition of a clean marking; a tolerance time for non-recognition of a target object (101); an allowable hands-off time for a steering wheel of the vehicle (100); and / or an activatability and / or an offer to activate the steering and / or guidance assistant. Method (310) according to one of Claims 8 to 11 wherein at least one constraint on the operation of the steering and / or tracking assistant is adjusted prior to reaching the determined position (102) in response to the adjustment data to reduce performance degradation of the steering and / or guidance assistant at the determined position (102) or to avoid; and - which comprises at least one boundary condition in particular, - a driving speed of the vehicle; and / or - positioning the vehicle (100) within a lane traveled by the vehicle (100). Method (320) for operating a steering and / or guidance assistant of a vehicle (100); the method comprising (320) - detecting (321) performance data relating to a drop in performance of the steering and / or guidance assistant during a first drive along a route; - associating (322) the performance data to position data relating to a position (102) along the route where the performance dip occurred; and - Providing (323) the performance data and the position data for adapting at least one operating parameter and / or at least one boundary condition of the steering and / or tracking assistants in a second drive along the route. Device (110, 200) for operating a steering and / or guidance assistant, wherein the device (110, 200) is set up, - performance data relating to one or more performance drops of the steering and / or guidance assistant in a plurality of trips of one or more first vehicles (100) along a route to determine; - associate the performance data to position data relating to a position (102) along the route in relation to which the one or more performance dips have occurred; - recognize on the basis of the performance data and the position data an accumulation of performance drops of the steering and / or guidance assistant at at least one or more specific positions (102) of the route; - Adaptation data for an adjustment of at least one operating parameter and / or at least one boundary condition for operating the steering and / or guidance assistant for a second vehicle (100) when driving the second vehicle (100) at the specific position (102) of the route to investigate. Device (110, 200) for operating a steering and / or tracking assistant, wherein the device (110, 200) is set up, one of the methods (300, 310, 320) according to one or more of Claims 1 to 13 perform. Device (110, 200) according to one of the Claims 14 to 15 wherein the device (110, 200) comprises at least one vehicle-external computing unit (110) separate from a vehicle (100). Computer program, in particular a computer program product comprising a computer program, wherein the computer program is designed to execute at least one of the methods (300, 310, 320) on at least one computing unit of a vehicle (100) and / or at least one vehicle-external computing unit (110). according to one of Claims 1 to 13 perform.

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