no code implementations • 18 Apr 2024 • Xiao Wang, Ke Tang, Xingyuan Dai, Jintao Xu, Quancheng Du, Rui Ai, Yuxiao Wang, Weihao Gu
To effectively assess the risks prevailing in the vicinity of AVs in social interactive traffic scenarios and achieve safe autonomous driving, this article proposes a social-suitable and safety-sensitive trajectory planning (S4TP) framework.
1 code implementation • 20 Mar 2024 • Tongtian Yue, Jie Cheng, Longteng Guo, Xingyuan Dai, Zijia Zhao, Xingjian He, Gang Xiong, Yisheng Lv, Jing Liu
In this paper, we present and delve into the self-consistency capability of LVLMs, a crucial aspect that reflects the models' ability to both generate informative captions for specific objects and subsequently utilize these captions to accurately re-identify the objects in a closed-loop process.
no code implementations • 27 Feb 2024 • Jie Cheng, Gang Xiong, Xingyuan Dai, Qinghai Miao, Yisheng Lv, Fei-Yue Wang
Our experiments on robotic manipulation and locomotion tasks demonstrate that RIME significantly enhances the robustness of the current state-of-the-art PbRL method.
no code implementations • 1 Aug 2023 • Ying Yang, Kai Du, Xingyuan Dai, Jianwu Fang
We design a perturbation mask generator over input sensor features at the time dimension and the graph structure on the graph transformer module to obtain spatial and temporal counterfactual explanations.
no code implementations • 25 Jul 2023 • Shengyue Yao, Jingru Yu, Yi Yu, Jia Xu, Xingyuan Dai, Honghai Li, Fei-Yue Wang, Yilun Lin
Furthermore, an operation algorithm is proposed regarding the issue of structural rigidity in DAO.
1 code implementation • 6 Aug 2018 • Yilun Lin, Xingyuan Dai, Li Li, Fei-Yue Wang
Urban Traffic Control (UTC) plays an essential role in Intelligent Transportation System (ITS) but remains difficult.
no code implementations • 11 Jul 2017 • Xingyuan Dai, Rui Fu, Yilun Lin, Li Li, Fei-Yue Wang
Detrending based methods decompose original flow series into trend and residual series, in which trend describes the fixed temporal pattern in traffic flow and residual series is used for prediction.