Zobrazeno 1 - 10
of 70 871
pro vyhledávání: '"trajectory-planning"'
Autor:
Zhao, Suping1 (AUTHOR) zhaosuping@xatu.edu.cn, Du, Yushuang1 (AUTHOR), Chen, Chaobo1 (AUTHOR) chenchaobo@xatu.edu.cn, Song, Xiaohua1 (AUTHOR), Zhang, Xiaoyan1 (AUTHOR)
Publikováno v:
Biomimetics (2313-7673). Nov2024, Vol. 9 Issue 11, p679. 22p.
Achieving energy-efficient trajectory planning for autonomous driving remains a challenge due to the limitations of model-agnostic approaches. This study addresses this gap by introducing an online nonlinear programming trajectory optimization framew
Externí odkaz:
http://arxiv.org/abs/2412.09424
Autor:
Kollarčík, Adam, Hanzálek, Zdeněk
This paper addresses the trajectory planning problem for automated vehicle on-ramp highway merging. To tackle this challenge, we extend our previous work on trajectory planning at unsignalized intersections using Partially Observable Markov Decision
Externí odkaz:
http://arxiv.org/abs/2412.07567
This paper introduces a local planner that synergizes the decision making and trajectory planning modules towards autonomous driving. The decision making and trajectory planning tasks are jointly formulated as a nonlinear programming problem with an
Externí odkaz:
http://arxiv.org/abs/2411.18974
This paper explores cooperative trajectory planning approaches within the context of human-machine shared control. In shared control research, it is typically assumed that the human and the automation use the same reference trajectory to stabilize th
Externí odkaz:
http://arxiv.org/abs/2410.16938
Reinforcement learning (RL) faces challenges in trajectory planning for urban automated driving due to the poor convergence of RL and the difficulty in designing reward functions. The convergence problem is alleviated by combining RL with supervised
Externí odkaz:
http://arxiv.org/abs/2410.15607
The development of autonomous driving has boosted the research on autonomous racing. However, existing local trajectory planning methods have difficulty planning trajectories with optimal velocity profiles at racetracks with sharp corners, thus weake
Externí odkaz:
http://arxiv.org/abs/2410.11570
Unmanned aerial vehicles (UAVs) have attracted plenty of attention due to their high flexibility and enhanced communication ability. However, the limited coverage and energy of UAVs make it difficult to provide timely wireless service for large-scale
Externí odkaz:
http://arxiv.org/abs/2412.12494
Publikováno v:
Proceedings of VEHITS 2024, pages 522-529
This paper investigates the problem of trajectory planning for autonomous vehicles at unsignalized intersections, specifically focusing on scenarios where the vehicle lacks the right of way and yet must cross safely. To address this issue, we have em
Externí odkaz:
http://arxiv.org/abs/2412.06405
Autor:
Echigo, Kazuya, Cauligi, Abhishek, Bandyopadhyay, Saptarshi, Scharf, Dan, Lantoine, Gregory, Açıkmeşe, Behçet, Nesnas, Issa
This paper presents the development and evaluation of an optimization-based autonomous trajectory planning algorithm for the asteroid reconnaissance phase of a deep-space exploration mission. The reconnaissance phase is a low-altitude flyby to collec
Externí odkaz:
http://arxiv.org/abs/2412.06816