Aptiv Technologies Ag

Frederik Lenard Hasecke

Kun Zhao

Andre Paus

Maximilian Schaefer

Sönke Behrends

Lukas Hahn

Yvonne Schnickmann

The prediction system for predicting an information related to a pedestrian has a tracking module that detects and tracks in real-time a pedestrian in an operating area, from sensor data; a machine-learning prediction module that performs a prediction of information at future times related to the tracked pedestrian using a machine-learning algorithm from input data including data of the tracked pedestrian transmitted by the tracking module and map data of the operating area; a pedestrian behavior assessment module that determines additional data of the tracked pedestrian representative of a real time behavior of the pedestrian, and said additional data of the tracked pedestrian is used by the machine-learning prediction module as another input data to perform the prediction.

Detection system for predicting information on pedestrian

The present disclosure relates to methods, devices, and computer programs for determining a change in a position and/or orientation of a mobile apparatus. In an aspect, described is a method of determining a change in a position and/or orientation of a mobile apparatus that includes: acquiring a first data stream indicating a first estimated change in at least one of a position or an orientation of the mobile apparatus in respective ones of a plurality of time frames; acquiring a second data stream indicating a second estimated change in the at least one of the position or the orientation of the mobile apparatus in the respective ones of the plurality of time frames; and determining a change in the at least one of the position or the orientation of the mobile apparatus using the first estimated change or the second estimated change.

Method, device, and computer program for determining a change in position and/or orientation of a mobile apparatus

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Solingen, Germany

Frederik Lenard Hasecke