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Titel:

Information Fusion for Online Estimation of the Behavior of Traffic Participants using Belief Function Theory

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Benciolini, Tommaso; Zhang, Xuhui; Wollherr, Dirk; Leibold, Marion
Abstract:
Motion planning algorithms for automated vehicles need to assess the intended behavior of other Traffic Participants (TPs), in order to predict the likely future trajectory of TPs and plan the motion consequently. Information resulting from several sources, like sensors, must be gathered and combined into a reliable estimate of the intended behavior of TPs. Such estimates must be sufficiently steady and quantify the inherent uncertainty around the assessment. We present a novel information fusio...     »
Zeitschriftentitel:
Frontiers in Future Transportation
Jahr:
2023
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:10.3389/ffutr.2023.1216527
Verlag / Institution:
Frontiers
Semester:
SS 23
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