Trw Automotive Gmbh

Zf Friedrichshafen Ag

Zf Automotive Germany Gmbh

Markus Buss

Torsten Bertram

Andreas Homann

Christian Wissing

Karl-Heinz Glander

Martin Keller

Till Nattermann

Carsten Hass

Christian Goette

Manuel Schmidt

Christian Lienke

Niklas Stannartz

Andreas Dipl-Ing Homann

Martin Dipl-Ing Keller

Carsten Dr-Ing Haß

Christian Dipl-Ing Goette

Christian Dipl-Ing Wissing

Torsten Prof Dr-Ing Bertram

Systems and methods for sampling based planning of possible trajectories for motor vehicles are provided. For example, a control system is configured to determine information relating to a current driving situation of the subject motor vehicle and at least one other motor vehicle on the basis of the environment data. The control system is also configured to determine a plurality of lateral positions. The control system is further configured to determine a number of longitudinal positions and/or speeds. The control system is yet further configured to sample the plurality of lateral positions and the number of longitudinal positions and/or speed in curvilinear coordinates and transformed based on the reference lane to determine stopping points for a trajectory. The control system is configured to determine the trajectory for the subject motor vehicle utilizing a spline-based interpolation in orthogonal coordinates between the determined stopping points and corresponding to the lateral positions.

Control system and control method for sampling based planning of possible trajectories for motor vehicles

A method for the automated control of a motor vehicle () is presented. The method includes the following steps: A control device () for a system for the control of a motor vehicle () is also proposed.

Method for the automated control of a motor vehicle

A control system that is suitable for use in a host motor vehicle () is configured and intended for detecting (S) another motor vehicle (), using the road, located in front of the host motor vehicle () by means of the at least one surroundings sensor, determining (S) a lateral movement of the other motor vehicle () relative to a lane () in which the other motor vehicle () or the host motor vehicle () is present, and computing (S) a movement-based likelihood of a lane change by the other motor vehicle (), based on the determined lateral movement of the other motor vehicle (). In addition, the control system is configured and intended for determining (S, S, S) an instantaneous traffic situation in accordance with the surroundings data obtained by means of the surroundings sensor, computing (S) a traffic situation-based likelihood of a lane change by the other motor vehicle (), based on the determined instantaneous traffic situation, and computing (S) an overall likelihood of a lane change by the other motor vehicle (), based on the movement-based likelihood and the traffic situation-based likelihood.

Control system and control method for determining a likelihood of a lane change by a preceding vehicle

A control system which for use in a host motor vehicle is configured and intended for recognizing motor vehicles traveling ahead, to the side, and/or behind and preferably stationary objects situated ahead, based on surroundings data obtained from at least one surroundings sensor associated with the host motor vehicle. The at least one surroundings sensor is configured for providing an electronic controller of the control system with surroundings data that represent an area in front of the host motor vehicle. The control system is at least configured and intended for detecting another motor vehicle, using the road, in front of the host motor vehicle by means of the at least one surroundings sensor, and determining movements of the other motor vehicle relative to a lane in which the other motor vehicle or the host motor vehicle is present, or relative to the host motor vehicle, determining, starting from an instantaneous location, a set having a predefined number of trajectories, differing with regard to their length and/or their course, for possible paths of the host motor vehicle, wherein the course of neighboring trajectories differs by a predefined difference between possible different steering angles of the host motor vehicle, and varying the predefined number of trajectories, the length, and/or the course of the trajectories as a function of a driving situation of the host motor vehicle, and generating at least one signal that assists a driver of the host motor vehicle in controlling the host motor vehicle in order to guide the host motor vehicle at least along a collision-free trajectory, or generating at least one associated control command that causes the host motor vehicle to follow at least one of the collision-free trajectories.

Control system and control method for guiding a motor vehicle along a path

A control system which for use in a host motor vehicle is configured and intended for recognizing motor vehicles traveling ahead, to the side, and/or behind and preferably stationary objects situated ahead, based on surroundings data obtained from at least one surroundings sensor associated with the host motor vehicle. The at least one surroundings sensor is configured for providing an electronic controller of the control system with surroundings data that represent an area in front of, next to, or behind the host motor vehicle. The control system is at least configured and intended for detecting another motor vehicle, using the road, relative to the host motor vehicle by means of the at least one surroundings sensor, and determining movements of the other motor vehicle relative to a lane in which the other motor vehicle or the host motor vehicle is present, or relative to the host motor vehicle, determining, starting from an instantaneous location of the host vehicle, a set having a predefined number of trajectories, differing with regard to their length and/or their course, for possible paths of the host motor vehicle, wherein the course of neighboring trajectories differs by a predefined difference between possible different steering angles of the host motor vehicle, correlating the course of the determined trajectories for possible paths of the host motor vehicle with the provided surroundings data, and classifying the determined trajectories as trajectories involving a collision, collision-free trajectories, and/or optimal trajectories, determining an instantaneously traveled trajectory of the host motor vehicle and comparing it to the classified trajectories, and based on this situation recognition for the host motor vehicle, making an intervention decision, and generating at least one signal that assists a driver of the host motor vehicle in controlling the host motor vehicle in order to guide the host motor vehicle at least along a collision-free trajectory, or generating at least one associated control command that causes the host motor vehicle to follow at least one of the collision-free trajectories.

Control system and control method for guiding a motor vehicle along a path and for avoiding a collision with another motor vehicle

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Duesseldorf, Germany

Markus Buss