A Probabilistic Framework for Tracking the Formation and Evolution of Multi-Vehicle Groups in Public Traffic in the Presence of Observation Uncertainties

Future self-driving cars and current ones with advanced driver assistance systems are expected to interact with other traffic participants, which often are multiple other vehicles. Object vehicle tracking forms a key part of resolving this interaction. Furthermore, descriptions of the vehicle group...

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Veröffentlicht in:	IEEE transactions on intelligent transportation systems 2018-02, Vol.19 (2), p.560-571
Hauptverfasser:	Wang, Qian, Ayalew, Beshah
Format:	Artikel
Sprache:	eng
Schlagworte:	autonomous vehicle motion planning Bayes methods density-based clustering Estimation Intelligent vehicles probabilistic collision criteria Probabilistic logic Shape Tracking Uncertainty Vehicle group tracking
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