Siemens Aktiengesellschaft

Continental Automotive Gmbh

Siemens Corporation

Conti Temic Microelectronic Gmbh

Jan Giebel

Stefan Heinrich

Gregory Baratoff

Martin Pellkofer

Claus Bahlmann

Elias Strigel

Martin Pfitzer

Jochen Bauer

A method of ascertaining disparities in sensor data uses at least one neural network implemented in a controller of a vehicle. The method involves capturing () a learning data record from temporally successive raw sensor data, evaluating () the learning data record to train the neural network exclusively based on the learning data record of the captured raw sensor data, ascertaining () expected sensor data, comparing () the ascertained expected sensor data with sensor data currently captured by the sensor arrangement, and ascertaining () a disparity between the currently captured sensor data and the ascertained expected sensor data.

Method and system for predicting sensor signals from a vehicle

A speed limit assistant (SLA) system includes a camera based SLA, a map based SLA, and a fusion unit. The camera based SLA is configured to determine a first set of probabilities for an input image, wherein the probabilities indicate how likely the image includes a discrete set of speed limit signs. The map based SLA is configured to determine a second set of probabilities for an input coordinate, wherein the probabilities indicate how likely the coordinate is to correspond to one of a discrete set of speed limits. The fusion unit is configured to perform a Bayesian fusion on the first and second set of probabilities to determine a final speed limit from the discrete set of speed limits.

Multi-modal speed limit assistant

An evaluation device for a driver assistance system for a vehicle includes an input for receiving image information recorded by a camera, a first component for locating an image section present in a predefined shape in first image information received from the camera, and a second component for requesting second image information. The second image information corresponds to a renewed image of an image section found by the first component, with improved contrast in relation to the first image information. A third component is present for identifying a traffic sign in the second image information, and an output for emitting a signal relating to a traffic sign identified by the third component. There is also provided a computer program product and a method for operating a driver assistance system.

Driver assistance system for traffic sign recognition

Growing community of inventors

Sigmarszell, Germany

Jan Giebel