Volvo Car Corporation

Zenuity Ab

Anders Ödblom

Andrew Backhouse

Nasser Mohammadiha

Peter Hardå

Anders Movert

Method and system for validating an automated control software, ACS, for a vehicle, wherein the ACS is adapted for operating a vehicle in autonomous driving mode. The method comprises simulating use of the ACS in agent movement scenarios, wherein said simulating includes providing input sensor data to each vehicle agent to which an ACS has been assigned, and wherein movement of each of the other agents in the simulation is controlled to move either according to a replay of a corresponding real-world agent, or by an agent movement model.

Method and system for validating autonomous control software for a self-driving 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.

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Bohus-Björkö, Sweden

Anders Ödblom