Zf Automotive Germany Gmbh

Martin Krüger

Torsten Bertram

Christian Wissing

Andreas Homann

Karl-Heinz Glander

Manuel Schmidt

Christian Lienke

Till Nattermann

Anne Stockem Novo

The invention relates to a method for determining a driving corridor for a motor vehicle (). The motor vehicle () comprises at least one camera () and a control unit (), the camera () being designed to generate images of a front region () in front of the motor vehicle () and to forward these images to the control unit (). The control unit () comprises a machine learning module () having an artificial neural network. The method comprises the following steps: an image of the front region () in front of the motor vehicle () is obtained by the at least one camera (); characteristic image features of the image are extracted by means of the artificial neural network; by means of the same artificial neural network, image points () which delimit the driving corridor of the motor vehicle () and/or at least one driving corridor adjacent to the driving corridor are determined on the basis of the extracted characteristic image features. The invention also relates to a system () for determining a vehicle corridor.

Method and system for determining a driving corridor

A control system for use in a motor vehicle is used for monitoring a current driving situation of the motor vehicle, based on surroundings data of the host motor vehicle in the current driving situation, obtained from at least one surroundings sensor situated on the host motor vehicle. The control system is used to recognize lanes, lane boundary lines, lane markings, and/or other motor vehicles in an area in front of, to the side of, and/or behind the host motor vehicle. In addition, the control system is used to determine at least one driving parameter for each other motor vehicle present in the surroundings of the host motor vehicle, based on the provided surroundings data, and to generate a plurality of possible trajectories for the future travel course for each of the other motor vehicles, based on the driving parameter determined in each case. Lastly, the control system is used to carry out a simulation of the plurality of possible trajectories for the future travel course for each of the other motor vehicles, and to group in each case the plurality of possible trajectories for the future travel course for each of the other motor vehicles, based on the simulation.

Control system and control method for interaction-based long-term determination of trajectories for motor vehicles

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Munich, Georgia

Martin Krüger