Zenuity Ab

Volvo Car Corporation

Zenseact Ab

Polestar Performance Ab

Veoneer Sweden Ab

Peter Hardå

Erik Coelingh

Anders Dahlén

Erik Israelsson

Mathias Westlund

Jonas Nilsson

Mattias Brännström

Julia Nilsson

Nasser Mohammadiha

Andrew Backhouse

Per Landfors

Anders Axelson, Ii

Stefan Berge

Henrik Johannesson Lind

Fredrik Heurlin

Anders Movert

Anders Ödblom

Joakim Christoffersson

Pär Nilsson

Anders Wogel

Martin Ask

Magnus Björklund

Moroine Laoufi

Alessandro Zin

Anders Axelsson

Gunnar Bengtsson

Per Jessen

Mattias BRÄNNSTRÖM

Stefan Järvholm

Björn Johansson

Stefan Johansson

A driving mode transitioning system and method for supporting transitioning to an unsupervised autonomous driving mode of an Automated Driving System, ADS, of a vehicle. The driving mode transitioning system obtains vehicle situational data indicating a state of vehicle surroundings along with position and heading of the vehicle; determines based on the obtained vehicle situational data, that unsupervised driving conditions of an unsupervised driving mode-related driving policy pertinent an unsupervised autonomous driving mode of the ADS, are complied with; determines that the ADS has active a supervised driving mode; implements the unsupervised driving mode-related driving policy to govern the supervised driving mode; and enables the unsupervised autonomous driving mode to be activated for the ADS, when positioning and/or velocity of the vehicle has reached compliance with unsupervised dynamic driving conditions of the unsupervised driving mode-related driving policy.

Transitioning to an unsupervised autonomous driving mode of an ADS

A method for managing a hand-over from an Automated Driving System (ADS) to driver of vehicle, where ADS includes ADS feature being associated with first set of pre-cautionary constraints out of plurality of pre-cautionary constraints imposed by Pre-cautionary Safety (PCS) module while ADS feature controls vehicle. The method includes obtaining request to deactivate ADS feature, and providing partial control of vehicle to driver in order to enable manual driver operation of vehicle based on obtained request. The method includes monitoring manual driver operation of vehicle for a time period, and evaluating monitored manual driver operation of vehicle against second set of pre-cautionary constraints during time period. Then, based on evaluation, the method includes deactivating second set of pre-cautionary constraints upon expiry of time period if manual driver operation passes evaluation, or providing control of vehicle to ADS if manual driver operation fails evaluation.

Methods and systems for hand-over from and ads feature to a driver of a vehicle

A method and system for predicting a near future path for a vehicle. For predicting the near future path sensor data and vehicle driving data is collected. Road data is collected indicative of a roadway on the presently occupied road for the vehicle. The sensor data and the vehicle driving data is pre-processed to provide object data comprising a time series of previous positions, headings, and velocities of each of the objects relative the vehicle. The object data, the vehicle driving data, and the road data is processed in a deep neural network to predict the near future path for the vehicle. The invention also relates to a vehicle comprising the system.

Path prediction for a vehicle

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.

System and method for avoiding a collision course

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.

Vehicle surroundings object detection in low light conditions

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.

Lane keeping for autonomous vehicles

A method for providing an alert signal to a control unit of a vehicle for controlling driver intervention. The method comprises determining a set of present driving behavior data indicative of a present driving behavior in a present driving situation and retrieving a driving model indicative of expected driving behavior for the present driving situation. Further, a plurality of expected near future paths for the vehicle are predicted and an actual path is additionally determined. The set of present driving behavior data is mapped with the driving model. When a predetermined degree of deviation in the set of present driving behavior data compared to the driving model is found and the actual path deviates from the predicted expected paths, the alert signal is provided.

Driving intervention in vehicles

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Torslanda, Sweden

Peter Hardå