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Titel:

A Combined Model-and Learning-based Framework for Interaction-aware Maneuver Prediction

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Bahram, Mohammad; Hubmann, Constantin; Lawitzky, Andreas; Aeberhard, Michael; Wollherr, Dirk
Abstract:
This paper presents a novel online-capable interaction-aware intention and maneuver prediction framework for dynamic environments. The main contribution is the combination of model-based interaction-aware intention estimation with maneuver-based motion prediction based on supervised learning. The advantages of this framework are twofold. On one hand, expert knowledge in the form of heuristics is integrated, which simplifies the modeling of the interaction. On the other hand, the difficulties ass...     »
Zeitschriftentitel:
IEEE Transactions on Intelligent Transportation Systems
Jahr:
2016
Band / Volume:
17
Jahr / Monat:
2016-01
Monat:
Jun
Heft / Issue:
6
Seitenangaben Beitrag:
1538-1550
Sprache:
en
Volltext / DOI:
doi:10.1109/TITS.2015.2506642
Semester:
SS 16
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