Volkswagen Ag

Cariad Se

Man Truck & Bus Se.

Stefan Wappler

Roland Kube

Timo Iken

Michael Holicki

Ralph Hänsel

Carolin Last

Bernd Rech

Philipp Hüger

Christian Merfels

Niklas Koch

Daniel Wilbers

Christian Jördens

Thilo Schaper

Constanze Hungar

David Perdomo Lopez

Jana Seeland

Stefan Jürgens

Thomas Dammeier

Sven-Garrit Czarnian

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

A method for providing map data which include position information for first landmarks of a first landmark class, collecting environment data, and determining a position of the mobile unit. Training data are generated and stored for the first landmarks based on the position of the mobile unit, the collected environment data and the position information. Based on the training data, a first detector module is generated for detecting the first landmark class. The position determination system includes a memory unit for providing map data which include position information for first landmarks of a first landmark class, a data acquisition unit for collecting environment data, a localization unit for determining a position of the mobile unit, and a processing unit for generating and storing training data based on the position of the mobile unit, the collected environment data and the position information for the first landmarks.

Positioning system and method for operating a mobile unit positioning system

A method for determining landmarks in an environment of a vehicle is described that comprises capturing of initial environmental data, and determining a least a subset of the initial environmental data. The determined subset is assigned a category from a plurality of different categories. Depending on a landmark type, a category is determined, and landmark detection for the landmark type is carried out restricted to the subset of the determined category. A corresponding system for determining landmarks in an environment of a vehicle is also described.

Method and system for determining landmarks in an environment of a vehicle

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Berlin, Germany

Stefan Wappler