Volkswagen Ag

Cariad Se

Audi Ag

Timo Iken

Thilo Krause

Niklas Koch

Roland Kube

Stefan Wappler

Michael Holicki

Ralph Hänsel

Carolin Last

Christian Jördens

Markus Heidrich

Thomas Dammeier

Sven-Garrit Czarnian

A device for detecting the surroundings of a vehicle and a method for detecting the surroundings, and a vehicle designed to carry out said method comprise a camera module, a camera control apparatus, an analysis unit and an illumination device. The illumination device is formed by a matrix headlight of the vehicle and is designed such that it can project a light pattern into the surroundings. The projected light pattern is imaged in the detection region of the camera module and the 3D position of measurement points formed by the light pattern in the surroundings is determined by the analysis unit. However, the illumination device projects the light pattern only into regions of the surroundings in which the analysis unit has ascertained, based on image data, a value that is critical for 3D position determination.

Device and method for detecting the surroundings of a vehicle

Technologies and techniques for providing a traffic lane localization for a motor vehicle in a region of an infrastructure device and to the motor vehicle. An infrastructure message is received, including at least one portion of traffic lane count information that describes a number of traffic lanes in the region of the infrastructure device. A portion of environment information is provided, which describes an environment of the motor vehicle in the region of the infrastructure device. A portion of adjacent traffic lane information is determined, which describes a number and relative arrangement of adjacent traffic lanes by evaluating the provided environment information. A portion of traffic lane localization information is determined, which describes how the ego traffic lane is localized relative to the adjacent traffic lane by evaluating the received infrastructure message and the determined adjacent traffic lane information. The determined traffic lane localization information is then provided.

Method for providing a traffic lane localization for a motor vehicle in a region of an infrastructure device

Disclosed is a method for determining the position of a vehicle, in which highly accurate localization data for positions of the vehicle are determined when traveling along a route. Odometric measured variables for the own odometry of the vehicle are captured when traveling along the route. The highly accurate localization data determined and the odometric measured variables captured are jointly evaluated. The own odometry of the vehicle is corrected on the basis of the evaluation. An error model is used to calculate a vehicle-specific drift for the own odometry of the vehicle and to continually correct the own odometry of the vehicle provided highly accurate localization data can be determined. The corrected own odometry of the vehicle can then be used in areas in which highly accurate localization data cannot be determined in order to determine the position of the vehicle.

Method and device for determining the position of a vehicle

According to a method for self-localization of a vehicle, a first pose of the vehicle is determined in a map coordinates system, based on environment sensor data representing an environment of the vehicle, a landmark is detected in the environment, a position of the landmark is determined in the map coordinates system and a second pose of the vehicle is determined in the map coordinates system dependent on the position of the landmark. An assignment instruction is consulted, matching up the first pose with at last one preferred sensor type or at least one dominant landmark type. Depending on the assignment instruction, a first environment sensor system is activated and a second environment sensor system is deactivated, whereupon the environment sensor data are generated by means of the first environment sensor system.

Self-localization of a vehicle in a parking infrastructure with selective sensor activation

According to a method for self-localization of a vehicle, a first pose of the vehicle is determined. Environment sensor data are generated by means of an environment sensor device and on the basis of this a landmark is detected in the environment. A position of the landmark is determined and in dependence on this a second pose of the vehicle is determined. A memorized assignment instruction is consulted, matching up the first pose with at last one preferred sensor type or at least one dominant landmark type, and depending on this a first portion of the environment sensor data is selected that was generated by means of a first environment sensor system of the environment sensor device configured according to a first sensor type. For the detecting of the landmark, a first landmark detection algorithm is applied to the first portion of the environment sensor data.

Self-localization of a vehicle in a parking infrastructure

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Wolfsburg, Germany

Timo Iken