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Motion Planning

The top layer of the scalable vehicle dynamics control architecture is formed by a generic vehicle application layer (VAL) including interactive driving, remote control, and semi- or fully autonomous driving. For the latter, motion planning is one of the components needed. In this area, the institute’s research activities comprise mainly vision-based control and artificial intelligence agents, online path planning, path following, and vehicle-following control.

Vision-Based Control and Artificial Intelligence Agents


As an intelligent robotic vehicle, the ROboMObil belongs to the class of artificial intelligence agents.
Full article

Online Path Planning and Path Following Control


The institute’s concept for motion demand planning and generating control inputs for the vehicle motion execution controller uses a two-step approach.
Full article

Vehicle-Following Control


Cooperative driving, where multiple vehicles perform cooperative sensing and maneuvering, is currently envisaged as a promising approach to address the challenges in transportation systems.
Full article
Contact
Dr.-Ing. Jonathan Brembeck
German Aerospace Center

Institute of System Dynamics and Control
, Vehicle Systems Dynamics
Oberpfaffenhofen-Wessling

Tel.: +49 8153 28-2472

Fax: +49 8153 28-44-3883

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