AutoUni - Schriftenreihe, Bd. 41
In this thesis, general probabilistic approach to multi-sensorial environmental perception of ADAS is presented. This approach incorporates sensor data fusion with self-diagnosis capability and maneuver level intent estimation of detected objects. Thus, the quality of environmental perception can be continuously monitored and the intents of the traffic participants can be predicted. The resulting probabilities are uniform and consistent basis and reflect the reliability of the results. This knowledge is an important prerequisite for the development of future complex and robust Advanced Driver Assistance Systems.
The developed concepts have been used and approved in project "Integrated Lateral Assistance", a subproject of research initiative AKTIV (abbreviation for "Adaptive and Cooperative Technologies for the Intelligent Traffic") supported by the German Federal Ministry of Economics and Technology.
|Versandkostenfrei innerhalb Deutschlands|
Wollen auch Sie Ihre Dissertation veröffentlichen?