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Titel:

Combining Belief Function Theory and Stochastic Model Predictive Control for Multi-Modal Uncertainty in Autonomous Driving

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Benciolini, Tommaso; Yan, Yuntian; Wollherr, Dirk; Leibold, Marion
Abstract:
In automated driving, predicting and accommodating the uncertain future motion of other traffic participants is challenging, especially in unstructured environments in which the high-level intention of traffic participants is difficult to predict. Several possible uncertain future behaviors of traffic participants must be considered, resulting in multi-modal uncertainty. We propose a novel combination of Belief Function Theory and Stochastic Model Predictive Control for trajectory planning...     »
Kongress- / Buchtitel:
American Control Conference (ACC)
Jahr:
2024
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:10.23919/ACC60939.2024.10644881
Semester:
WS 23-24
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