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Dokumenttyp:
Konferenzbeitrag 
Autor(en):
Chen, Chao; Rickert, Markus; Knoll, Alois 
Titel:
A Traffic Knowledge Aided Vehicle Motion Planning Engine Based on Space Exploration Guided Heuristic Search 
Abstract:
A real-time vehicle motion planning engine is presented in this paper, with the focus on exploiting the prior and online traffic knowledge, e.g., predefined roadmap, prior environment information, behaviour-based motion primitives, within the space exploration guided heuristic search (SEHS) framework. The SEHS algorithm plans a kinodynamic vehicle motion in two steps: a geometric investigation of the free space, followed by a grid-free heuristic search employing primitive motions. These two proc...    »
 
Kongress- / Buchtitel:
Proceedings of the IEEE Intelligent Vehicles Symposium (IV) 
Konferenzort:
Dearborn, MI, USA 
Jahr:
2014 
Monat:
Jun 
Seiten:
535--540