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Dokumenttyp:
Konferenzbeitrag 
Autor(en):
Chen, Chao; Gaschler, Andre; Rickert, Markus; Knoll, Alois 
Titel:
Task Planning for Highly Automated Driving 
Abstract:
A hybrid planning approach is presented in this paper with the focus of integrating task planning and motion planning for highly automated driving. In the context of task planning, the vehicle and environment states are transformed from the continuous configuration space to a discrete state space. A planning problem is solved by a search algorithm for an optimal task sequence to reach the goal conditions in the symbolic space, regarding constraints such as space topology, place occupation, and t...    »
 
Kongress- / Buchtitel:
Proceedings of the IEEE Intelligent Vehicles Symposium (IV) 
Verlagsort:
Seoul, South Korea 
Jahr:
2015 
Monat:
Jul 
Seiten:
940--945