Zf Automotive Germany Gmbh

Zf Friedrichshafen Ag

Trw Automotive Gmbh

Andreas Homann

Torsten Bertram

Christian Wissing

Manuel Schmidt

Christian Lienke

Karl-Heinz Glander

Till Nattermann

Carlo Manna

Niklas Stannartz

Martin Keller

Markus Buss

Carsten Hass

Christian Goette

Martin Krüger

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

Methods and systems for controlling driving maneuvers of a motor vehicle driving in a current driving lane on a road are described. Spatio-temporal regions defining free regions and/or occupied regions in the current driving lane and a further driving lane, adjacent to the current driving lane of the motor vehicle, are determined. Changing regions, in which a driving lane change between the current and the further driving lanes is possible, and/or lane-keeping regions, in which a driving lane change between the current and the further driving lanes is not possible, are determined based on the free and/or occupied regions. Possible driving maneuvers of the motor vehicle at least between changing regions and/or lane-keeping regions that adjoin one another in pairs are determined and executed.

Method and system for controlling a motor vehicle

A method for controlling a motor vehicle () traveling on a road () in a current lane () is presented. The road () has at least one further lane () which is adjacent to the current lane () of the motor vehicle (). The method comprises the following steps: A driving maneuver graph is generated and/or received, which contains information about at least two different driving maneuvers for the motor vehicle (). One of the at least two possible driving maneuvers is selected by means of a machine learning module () which applies a machine learning method to the driving maneuver graph. A control device () for a system () for the control of a motor vehicle () is also proposed.

Method and control device for a system for the control of a motor vehicle

A control system for use in a motor vehicle and configured to monitor a current driving situation of the motor vehicle on the basis of surrounding data of the motor vehicle acquired from at least one surrounding sensor arranged on the motor vehicle in a current driving situation is disclosed. The control system is configured to determine information relating to a current driving situation of the motor vehicle on the basis of the provided surrounding data, to determine information relating to a current driving situation of the motor vehicle and to determine a component of a future driving maneuver for the motor vehicle on the basis of the information relating to the current driving situation of the motor vehicle. Furthermore, the control system is configured to determine a multiplicity of model trajectories for the motor vehicle on the basis of the determined component of the future driving maneuver for the motor vehicle and to determine from the multiplicity of model trajectories a trajectory for the motor vehicle which the motor vehicle is to follow in the further course of its travel. The control system is also configured to update the information relating to the current driving situation of the motor vehicle and/or the supplied surrounding data and to adapt the trajectory for the motor vehicle on the basis of a target function and on the basis of the updated supplied surrounding data and/or on the basis of the updated information relating to the current driving situation of the motor vehicle.

Control system and control method for a hybrid approach for determining a possible trajectory for a motor vehicle

A method for determining a driving maneuver includes obtaining vehicle parameters (P) from a driving maneuver planning module () of the vehicle (). At least one possible driving maneuver (M) is determined via the driving maneuver planning module () based on the vehicle parameters (P) received by means of at least one decision-making submodule of the driving maneuver planning module (), At least one possible driving maneuver (M) is transmitted to a motion planning module () of the vehicle (). An evaluation variable (B) is obtained from the motion planning module () via the driving maneuver planning module (). The at least one decision-making submodule is adapted based on the evaluation variable (B) obtained. Furthermore, a system for determining a driving maneuver of a vehicle, a vehicle for executing the driving maneuver, a control device for a vehicle and a computer program for executing the method are shown.

Method and system for determining a driving maneuver

A method for controlling a motor vehicle () traveling on a roadway () in a current lane () is described, wherein the roadway () has at least one additional lane () that is adjacent to the current lane () of the motor vehicle (). The method has the following steps: Multiple different driving maneuvers are generated and/or received. At least two driving maneuver classes that are defined based on at least one characteristic variable of the driving maneuvers are determined, wherein the driving maneuvers of various driving maneuver classes differ by at least one characteristic variable. The driving maneuvers are classified in one of the at least two driving maneuver classes. In addition, a control unit () for controlling a motor vehicle () is described.

Method and control unit for a system for controlling a motor vehicle

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

The invention relates to a method for determining a lane change for a driver assistance system () of a vehicle (), which method comprises calculating () a probability that other vehicles () are driving at a higher speed in a lane (L) which is adjacent to a current lane (L) of the vehicle (), applying () a hysteresis to the calculated probability based on a driving parameter dependent on a last lane change, and issuing () a command to change lanes depending on the probability. The invention further relates to a driver assistance system and a vehicle which can carry out such a method.

Method for determining a lane change, driver assistance system and vehicle

A method for controlling in an automated manner a motor vehicle () traveling on a road () in a current lane () is suggested, wherein the road () has at least one further lane (). The method comprises the following steps: At least two preliminary driving maneuvers are generated and/or received, which include a lane change from the current lane () to the at least one further lane () and a starting time of the lane change. The starting times of the at least two preliminary driving maneuvers are at different times. The at least two driving maneuvers are compared taking into account the respective starting times. One of the starting times is selected based on the comparison. Further, a control device for a system for controlling a motor vehicle is also suggested.

Method and control device for controlling a motor vehicle

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

A method is proposed for controlling a motor vehicle () traveling on a roadway () in a current lane (), wherein the roadway () has at least one additional lane () that is adjacent to the current lane () of the motor vehicle (). The method has the following steps: At least one possible driving maneuver for the motor vehicle () is generated and/or received. A cost functional is determined, wherein the cost functional associates a cost factor with the at least one possible driving maneuver. At least one time-variant constraint is determined and/or received. The cost functional is extremized under the at least one time-variant constraint, and the possible driving maneuver is adapted based on the extremized cost functional, so that a target driving maneuver is obtained. In addition, a control unit () for a system () for controlling a motor vehicle () is proposed.

A method is presented for controlling a motor vehicle (). Initially, driving maneuver data containing information concerning multiple possible, different driving maneuvers of the motor vehicle () are generated and/or received. Traffic data containing information concerning at least one undisturbed predicted trajectory of at least one further road user () are generated and/or received. An influence of the at least one driving maneuver on the trajectory of the at least one further road user () is determined, based on the driving maneuver data and the traffic data, and a characteristic variable is ascertained that describes the influence of the at least one driving maneuver on the at least one further road user (). In addition, a system () for controlling a motor vehicle () is proposed.

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.

Growing community of inventors

Dortmund, Germany

Andreas Homann