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Titel:

Estimation of collective maneuvers through cooperative multi-agent planning

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Jens Schulz, Kira Hirsenkorn, Julian Löchner, Moritz Werling, Darius Burschka
Stichworte:
Bayes methods; mobile robots; multi-agent systems; multi-robot systems; path planning; road vehicles; Bayesian estimation; autonomous vehicle; collective maneuvers; cooperative driving strategy; cooperative multi-agent planning; maneuver estimation; maneuver probabilities; maneuver-dependent prediction models; motion planning; multiple vehicle motion; trajectory homotopy; Autonomous vehicles; Bayes methods; Estimation; Hidden Markov models; Planning; Trajectory
Kongress- / Buchtitel:
IEEE Intelligent Vehicles Symposium (IV)
Jahr:
2017
Seiten:
624-631
Volltext / DOI:
doi:10.1109/IVS.2017.7995788
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