Abstract: Method and device for supporting generation of scenarios for testing autonomous driving and/or advanced driver assistance system, AD/ADAS, functionality for real world vehicles. A device (101; 500) provides (301) a virtual environment (200) simulating an environment relevant for operation of vehicles having said AD/ADAS functionality and in which is operating: fully computer controlled movable virtual objects (230a-c), human controlled movable virtual objects (220) and at least one virtual AD/ADAS vehicle (210) operating according to said AD/ADAS functionality. The device allows (303) a user of the device (101; 500) to, via user interface (506), control said one or more human controlled movable virtual objects (220) during operation and thereby cause generation of scenarios that the virtual AD/ADAS vehicle (210) is subjected to.

Abstract: A method performed by a road identifying system of a vehicle for localization of the vehicle in a multi-level road system. The road identifying system determines with support from a positioning system, a position of the vehicle, identifies, based on the vehicle position with support from at least a first digital map, a multi-level road system in which the vehicle is positioned and obtains image data with support from one or more image capturing devices adapted to capture surroundings of the vehicle. Moreover, the road identifying system determines a road level at which the vehicle is positioned based on feeding the image data through a neural network trained to classify road level based on context of image content and identifies based on the determined road level, with support from the at least first digital map, a road and/or lane of the multi-level road system at which the vehicle is positioned.

Abstract: The present disclosure relates to a method to control a vehicle system. The method includes detecting a deviating vehicle having at least one of a deviating behaviour and a deviating vehicle property by means of a perception system of a first vehicle, wherein the perception system includes at least one sensor device configured to monitor a surrounding environment of the first vehicle; assigning a deviating vehicle classification to the deviating vehicle based on the deviating behaviour and/or deviating vehicle property; determining at least one second vehicle to receive information relating to the deviating vehicle; and transmitting to each determined second vehicle a set of information relating to the deviating vehicle, said set of information including at least one of the deviating vehicle classification and a predetermined instruction to be performed by the determined second vehicle, wherein the predetermined instruction is dependent on the deviating vehicle classification.

Abstract: A method performed by a behavioral analyzing system for detection of an emergency vehicle approaching a vehicle from behind. The system derives a road configuration of a road along which the vehicle, based on ego-vehicle position obtained with support from localization sensors on-board the vehicle, is or was positioned. The system further determines unconventional driving criteria in view of the road configuration. The system determines based on surrounding vehicle detection data of a first and at least a second surrounding vehicle, obtained with support from surrounding detecting sensors on-board the vehicle, a respective first and at least a second surrounding vehicle trajectory along at least the road section. The system determines, when the first and the at least second surrounding vehicle trajectory fulfill at least a portion of the unconventional driving criteria, that an emergency vehicle is deemed to be approaching the vehicle from behind.

Abstract: Method for estimating a vertical offset of road segment for vehicle is disclosed. The method includes tracking road reference on road segment at first moment in time from first observation point in order to form first representation. Method includes obtaining vehicle movement data over time period extending from first moment in time to second moment in time, tracking road reference on road segment at second moment in time from second observation point in order to form second representation.

Abstract: A method of determination of the alignment angles of two or more road vehicle (1) borne radar sensors (4) for a road vehicle radar auto-alignment controller (3) starting from initially available rough estimates of alignment angles. From at least two radar sensors (4) are obtained signals related to range, azimuth and range rate to detections. The detections are screened (5) to determine detections from stationary targets. From the determined detections from stationary targets is derived a linearized signal processing model involving alignment angles, longitudinal and lateral velocity and yaw-rate of the road vehicle (1). A filter algorithm is applied to estimate the alignment angles. Based on the estimated alignment angles are produced signals suitable for causing a road vehicle (1) radar auto-alignment controller (3) to perform radar offset compensation.

Abstract: A method for predicting a trajectory of at least one secondary road user for avoiding a collision course with the secondary road user for a host vehicle. The method includes determining the present location for the host vehicle, retrieving a plurality of modelled clusters of trajectories for a present traffic situation, and detecting the position and speed of the at least one secondary road user. The method also includes predicting at least one feasible trajectory for the at least one secondary road user based on the position and the speed of the at least one secondary road user to the plurality of modelled clusters of trajectories and selecting at least one feasible trajectory of the feasible trajectories for each secondary road user based on a selection criterion. At least one action is performed based on the selected at least one feasible trajectory.

Abstract: The present disclosure relates to lane-level map matching for a vehicle. The method includes receiving vehicle data including a geographical position of the vehicle, a heading of the vehicle, and a speed of the vehicle and receiving sensor data from a perception system of the vehicle. The sensor data includes information about a position of at least one road reference in a surrounding environment of the vehicle. Operations include receiving map data including a lane geometry of the surrounding environment of the vehicle, the lane geometry including a set of candidate lanes. Operations include forming a state space model including a set of states. Each state of the set of states represents a candidate lane of the set of candidate lanes, and defining a cost for going from each state to every other state of the set of states based on the received vehicle data and the received sensor data.

Abstract: Methods for ensuring road tracking up to a predefined lateral acceleration limit in a vehicle having an autonomous steering function arranged to selectively apply a steering wheel overlay torque to a normal steering assistance torque in an electrical power assisted steering system of the vehicle are provided. Such methods include acquiring the predetermined lateral acceleration limit; acquiring a signal representing a current lateral acceleration of the vehicle; comparing the predetermined lateral acceleration limit with the acquired current lateral acceleration signal to obtain a controller error; setting a torque limit for the steering wheel overlay torque; and subjecting the controller error to a proportional-integral-derivative (PID) controller, which is arranged to provide the torque limit for the steering wheel overlay torque after setting the torque limit to the initial value.

Abstract: The present invention relates to methods and arrangements for assigning a vehicle to a lane in a road for a vehicle. The proposed solution obtains an estimated pose for the vehicle, projects the pose to nearby lanes, obtains uncertainty values for the pose and lanes, creates a distribution by combining the pose and lane uncertainties, creates a momentary likelihood for the vehicle being in each lane, adjusts the momentary likelihoods with prior values obtained in a previous iteration, and determines the most likely lane.

Abstract: Provided are a control unit and a method in a control unit to automatically control a lane change assist function in a vehicle. Multiple conditions indicating that a lane change assist function are activated at a current position of the vehicle are evaluated in the control unit. The conditions are selected from sensor based conditions, historical based conditions, and map based conditions. Sensor based conditions are conditions based on sensor. Historical based conditions are conditions based on historical data received. Map based conditions are conditions based on digital map data. If conditions from at least two different groups of conditions are evaluated as met, a digital signal is provided in the control unit enabling activation of the lane change assist function in the vehicle.

Abstract: An apparatus and method performed by a perception comparing system of a vehicle for perception performance evaluation of an ADAS or ADS. The perception comparing system establishes communication with a secondary vehicle determined and/or estimated to be positioned within a potential range of surrounding detecting sensors on-board the vehicle. The system derives perception data from a perception system of the ADAS or ADS. The system receives secondary perception data from a secondary perception system of a secondary ADAS or ADS of the secondary vehicle and determines a discrepancy output based on comparison of at least a portion of the both of perception data and the secondary perception data. The system communicates acknowledgement data when at least a portion of the discrepancy output fulfils discrepancy exceedance criteria and/or when the vehicle is perceivable in the secondary perception data but the secondary vehicle not is locatable in the perception data.

Abstract: Disclosed is a method of providing a scenario-based overlay torque request signal in a steer torque manager (1) during driver-override of an auxiliary steering assistance system (2) function in a road vehicle (3) having an EPAS system (4). The steer torque manager (1) has a wheel angle controller (1b) for providing an assistance torque request related signal, and a driver-in-the-loop functionality (1a) for determining driver-override and providing a driver-override related signal.

Abstract: The present disclosure relates to an overtaking estimating system for estimation of a minimum overtaking speed of a vehicle. The overtaking estimating system determines in view of a host vehicle a remaining distance of an overtaking lane contiguous to a driving lane of the host vehicle. The system further determines a delta distance between the host vehicle and a preceding vehicle positioned in the host vehicle driving lane. Moreover, the system determines a delta time for the host vehicle to reach the preceding vehicle. The system further determines, based on the delta distance, the delta time and a determined host vehicle speed, a speed of the preceding vehicle. Furthermore, the system determines, based on the remaining distance, the delta distance, the preceding vehicle speed, and an overtaking-affecting parameter, a minimum overtaking speed of the host vehicle for overtaking the preceding vehicle in the remaining distance of the overtaking lane.

Abstract: A method for controlling a driving assistance feature of a vehicle is disclosed. The method comprises determining a state of a driver of the vehicle by means of a driver monitoring system (DMS) the state of the driver comprising at least one attention parameter, and comparing the determined state of the driver with a predefined attention model. The predefined attention model comprises an independent threshold range for each attention parameter. The method further comprises controlling the driving assistance feature based on the comparison between the determined state of the driver and the predefined attention model.

Abstract: Described herein is a method of determining a current location speed limit in a road vehicle (1) speed limit information system (20). The method comprises receiving (6): one or more signals corresponding to respective candidate speed limits (7); and one or more signals related to observed vehicle dynamics affecting changes (8) in one or more vehicles (1, 5) pre and post a most recently passed anticipated speed limit change location (2). It further comprises evaluating (9) the confidence of the different candidate speed limits (7) based on the signals related to observed vehicle dynamics affecting changes (8) and validating (10a) or discarding (10b) candidate speed limits (7) based on the evaluated confidences. A signal (13) corresponding to a highest confidence validated speed limit is output.

Abstract: The present disclosure relates to a pull up controlling system of a vehicle for controlling the vehicle in a planned stop-and-go situation. The pull up controlling system determines a position of the vehicle and identifies a stop-and-go destination within a predeterminable distance from the vehicle position. The stop-and-go destination includes an interaction interface. The pull up controlling system provides a user input request relating to whether to discard or acknowledge the stop-and-go destination. The pull up controlling system receives intention data indicative of confirmation to acknowledge the stop-and-go destination. The pull up controlling system further derives preference data indicative of an openable section of the vehicle. The pull up controlling system maneuvers the vehicle to pull up at the stop-and-go destination, with the openable section aligned with the interaction interface.

Abstract: A method performed by a vision control system for supporting in low light conditions in surroundings of a moving vehicle, object detection by at least a first on-board rearward- and/or sideward-facing image capturing device. The vision control system captures a surrounding located rearward and/or sideward of the moving vehicle with support from the at least first image capturing device. The vision control system further determines light conditions in the surrounding. Moreover, the vision control system provides with support from at least a first light source, when the light conditions fulfill insufficient light criteria, a light output illuminating a ground region of the surrounding to facilitate object detection by the at least first image capturing device. The disclosure also relates to a vision control system, a vehicle comprising such a vision control system, and a respective corresponding computer readable storage medium.

Abstract: A system for a lane keeping feature of a vehicle is provided. The lane keeping feature has a predefined safety requirement criterion for keeping the vehicle within bounds while the lane keeping feature is active. The system comprises a road estimation module and a trajectory planning module. The road estimation module is configured to receive sensor data comprising information about a surrounding environment of the vehicle, and to determine a drivable area based on the sensor data. The drivable area comprises a left boundary and a right boundary extending along a direction of travel of the vehicle, wherein each boundary comprises a plurality of points distributed along each boundary, each point being associated with a confidence level. The trajectory planning module is configured to receive the determined drivable area, and to determine a nominal trajectory for the vehicle based on the received drivable area.

Abstract: A method and control system for generating and updating digital maps using a plurality of passages along a road portion by at least one road vehicle is provided. The method comprises obtaining positioning data and sensor data of each passage from the at least one road vehicle. Further, the method comprises forming a sub-map representation of the surrounding environment at each obtained longitudinal position based on the obtained sensor data, and estimating a longitudinal error for each obtained longitudinal position within each segment. Furthermore, the method comprises determining a new plurality of longitudinal positions of each road vehicle for each passage by applying the estimated longitudinal error on each corresponding obtained longitudinal position, and applying the determined new plurality of longitudinal positions on associated sensor data in order to generate a first layer of a map representation of the surrounding environment along the road portion.