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Title:

Task Planning for Highly Automated Driving

Document type:
Konferenzbeitrag
Author(s):
Chen, Chao; Gaschler, Andre; Rickert, Markus; Knoll, Alois
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...     »
Book / Congress title:
Proceedings of the IEEE Intelligent Vehicles Symposium (IV)
Publisher address:
Seoul, South Korea
Year:
2015
Month:
Jul
Pages:
940--945
Fulltext / DOI:
doi:10.1109/IVS.2015.7225805
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