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Title:

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

Document type:
Zeitschriftenaufsatz
Author(s):
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...     »
Journal title:
IEEE Transactions on Intelligent Transportation Systems
Year:
2016
Journal volume:
17
Year / month:
2016-01
Month:
Jun
Journal issue:
6
Pages contribution:
1538-1550
Language:
en
Fulltext / DOI:
doi:10.1109/TITS.2015.2506642
Semester:
SS 16
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