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pro vyhledávání: '"Bhattacharyya, Viranjan"'
This article presents a new optimal control-based interactive motion planning algorithm for an autonomous vehicle interacting with a human-driven vehicle. The ego vehicle solves a joint optimization problem for its motion planning involving costs and
Externí odkaz:
http://arxiv.org/abs/2311.05810
A new motion planning framework for automated highway merging is presented in this paper. To plan the merge and predict the motion of the neighboring vehicle, the ego automated vehicle solves a joint optimization of both vehicle costs over a receding
Externí odkaz:
http://arxiv.org/abs/2211.02225
Autor:
Vellamattathil Baby, Tinu, Bhattacharyya, Viranjan, Karimi Shahri, Pouria, Ghasemi, Amir H., HomChaudhuri, Baisravan
Publikováno v:
In Transportation Research Part C January 2022 134
Akademický článek
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Publikováno v:
Journal of Autonomous Vehichles and Systems; January 2022, Vol. 2 Issue: 1 p011004-011004, 1p
Publikováno v:
ASME Letters in Dynamic Systems and Control; October 2021, Vol. 1 Issue: 4 p041011-041011, 1p