Zobrazeno 1 - 10
of 171
pro vyhledávání: '"Xu Donghao"'
In this paper, we address a method that integrates reinforcement learning into the Monte Carlo tree search to boost online path planning under fully observable environments for automated parking tasks. Sampling-based planning methods under high-dimen
Externí odkaz:
http://arxiv.org/abs/2403.17234
This paper addresses the advancements in on-road trajectory planning for Autonomous Passenger Vehicles (APV). Trajectory planning aims to produce a globally optimal route for APVs, considering various factors such as vehicle dynamics, constraints, an
Externí odkaz:
http://arxiv.org/abs/2309.14566
Autor:
Li, Yuan, Li, Qingze, Wang, Yipeng, Zhang, Nanqiu, Xu, Xuanzhu, Shen, Pengfei, Xu, Donghao, Li, Xin, Zhou, Cangtao, Zou, Yongtao
Publikováno v:
In Journal of the European Ceramic Society October 2024 44(13):7504-7511
Autor:
Zhu, Xingjuan, Ros, Gerard H., Xu, Minggang, Xu, Donghao, Cai, Zejiang, Sun, Nan, Duan, Yinghua, de Vries, Wim
Publikováno v:
In Science of the Total Environment 15 July 2024 934
Publikováno v:
In Ocean Engineering 15 April 2024 298
Autor:
Xu, Donghao, Ros, Gerard H., Zhu, Qichao, Xu, Minggang, Wen, Shilin, Cai, Zejiang, Zhang, Fusuo, de Vries, Wim
Publikováno v:
In Science of the Total Environment 15 March 2024 916
Autor:
Xu, Donghao, Ding, Zhezhang, He, Xu, Zhao, Huijing, Moze, Mathieu, Aioun, François, Guillemard, Franck
Driving in a human-like manner is important for an autonomous vehicle to be a smart and predictable traffic participant. To achieve this goal, parameters of the motion planning module should be carefully tuned, which needs great effort and expert kno
Externí odkaz:
http://arxiv.org/abs/2005.11470
Autor:
Xu, Donghao, Ding, Zhezhang, Tu, Chenfeng, Zhao, Huijing, Moze, Mathieu, Aioun, François, Guillemard, Franck
Intra-driver and inter-driver heterogeneity has been confirmed to exist in human driving behaviors by many studies. In this study, a joint model of the two types of heterogeneity in car-following behavior is proposed as an approach of driver profilin
Externí odkaz:
http://arxiv.org/abs/2005.11077
This work addresses on the following problem: given a set of unsynchronized history observations of two scenes that are correlative on their dynamic changes, the purpose is to learn a cross-scene predictor, so that with the observation of one scene,
Externí odkaz:
http://arxiv.org/abs/2003.13930
Localization is an essential technique in mobile robotics. In a complex environment, it is necessary to fuse different localization modules to obtain more robust results, in which the error model plays a paramount role. However, exteroceptive sensor-
Externí odkaz:
http://arxiv.org/abs/2003.13109