Continental Automotive Gmbh

Continental Automotive Technologies Gmbh

Henning Hamer

Steen Kristensen

Ralph Grewe

Bastian Zydek

Rene Alexander Körner

Claudia Loy

Helmut Hamperl

Karsten Mattmüller

Robert Thiel

Holger Karn

Karn Holger

A system for generating confidence values for objects in a digital road map comprising a backend and an object recognition device including: a capture unit, an evaluation unit, a positioning unit, and a transceiver. The capture unit captures surroundings data of a vehicle. The positioning unit determines a position of the captured surroundings data and objects contained therein. The evaluation unit recognizes the objects and concealed objects based on the surroundings data and associates them with position information. The transceiver transmits information generated by the evaluation unit to the backend. The backend generates or updates the map. Each of the objects in the map has an associated confidence value. The backend adjusts the confidence values based on the received data. The backend does not reduce the confidence value of an object if there is a corresponding concealed object in the received data.

System for generating confidence values in digital road maps

The invention relates to a method for generating and/or updating a digital model of at least one sub-region of a digital map, said digital model being assembled from sections originating from different sources. First data are provided relating to a first section and comprising objects and/or feature points characterized at least by their spatial position, said objects and/or feature points being classifiable into a plurality of degrees of detail. Second data are then provided, relating to a second section and comprising objects and/or feature points characterized at least by their spatial position, said objects and/or feature points being classifiable into the plurality of degrees of detail. The first section and the second sections partially overlap. The method, which is preferably implemented in a backend, includes aligning the first section and the second section relative to each other by minimizing a target functional, which has a weighted error term for each degree of detail of the plurality of degrees of detail, in one or more processors, wherein each error term describes a weighted deviation between the objects and/or feature points of the first section and the corresponding objects and/or feature points of the second section.

Method and device for generating digital map models

Various embodiments of the teachings herein include a method for training and updating a backend-side classifier comprising: receiving, in a backend-device, from at least one vehicle, classification data along with a respective classification result generated by a vehicle-side classifier; and training the backend-side classifier using the classification data and, if available, a corrected respective classification result as annotation.

Method and system for training and updating a classifier

A system for generating at least a second trajectory for a first route section of a road comprises a first interface for receiving first data representing at least a first trajectory. The first data were recorded during travel on the first route section by at least one vehicle controlled by a human driver. The first interface is additionally configured to receive second data representing ambient conditions at the time of recording of the first trajectory, and to receive third data representing vehicle-related features present during the recording of the first trajectory. The system additionally comprises a first data processing module that performs clustering of multiple first trajectories based on associated second data and/or third data, a database for retrievably storing the results of the clustering, and a second interface for receiving a request for the transmission of a second trajectory and for corresponding transmission of the requested second trajectory.

System and method for analyzing driving trajectories for a route section

A method and a device for increasing the accuracy of localization. The method includes the following steps: a) detecting a selected object in an environment, using a camera of a first vehicle; b) estimating a first position of the selected object, wherein a first program uses first location coordinates of the first vehicle and a first distance estimate to the selected object; c) transferring an attribute of the selected object, the first location coordinates and the first distance estimate to a server; d) carrying out the steps a) to c) for a second vehicle; e) calculating a third position of the selected object by the server, wherein a third program performs an averaging of the plurality of location coordinates and distance estimates; f) using the third position of the selected object as a reference position for increasing the accuracy of a localization of a third vehicle.

Method and device for increasing the accuracy of localization

A system for generating map information for one or more road sections of a digital road map comprises an interface for receiving data records for the one or more road sections. The data records describe properties of surfaces outside the immediate road area. The system further comprises a first module for evaluating the received data records in order to identify first surfaces outside the immediate road area that are able to be driven on by a vehicle after leaving the road and on which the vehicle can be brought to a standstill after leaving the road, a second module for generating a description of the first surfaces in a format suitable for digital road maps, and a third module for retrievably providing the description of the first surfaces in one or more formats suitable for digital road maps.

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Munich, Germany

Henning Hamer