中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共4条，第1-4条 帮助

已选(0)清除 条数/页：   排序方式：
A Survey of Vehicle Dynamics Modeling Methods for Autonomous Racing: Theoretical Models, Physical/Virtual Platforms, and Perspectives 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 3, 页码: 4312-4334
作者:  Zhang, Tantan;  Sun, Yueshuo;  Wang, Yazhou;  Li, Bai;  Tian, Yonglin;  Wang, Fei-Yue
收藏  |  浏览/下载：20/0  |  提交时间：2024/07/03
Vehicle dynamics  Surveys  Tires  Planning  Aerodynamics  Heuristic algorithms  Computational modeling  Autonomous racing  chassis  vehicle dynamics  testing platform  intelligent vehicles for education (IV4E)  
From Formula One to Autonomous One: History, Achievements, and Future Perspectives 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 5, 页码: 3217-3223
作者:  Li, Bai;  Gao, Ting;  Ma, Siji;  Zhang, Youmin;  Acarman, Tankut;  Cao, Kai;  Xu, Tian'ao;  Zhang, Tantan;  Wang, Fei-Yue
收藏  |  浏览/下载：52/0  |  提交时间：2023/11/17
Automobiles  History  Safety  Sports  Control systems  Color  Accidents  Autonomous racing  formula 1  autonomous 1  car race  intelligent vehicles for education (IV4E)  
Toward Fair and Thrilling Autonomous Racing: Governance Rules and Performance Metrics for the Autonomous One 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 8, 页码: 3974-3982
作者:  Li, Bai;  Fang, Yile;  Xu, Tian'ao;  Ma, Siji;  Wang, Haorui;  Wang, Yazhou;  Li, Xinyuan;  Zhang, Tantan;  Bian, Xuepeng;  Wang, Fei-Yue
收藏  |  浏览/下载：101/0  |  提交时间：2023/11/16
Autonomous racing  intelligent vehicles for education (IV4E)  the autonomous one (TAO)  
Sharing Traffic Priorities via Cyber-Physical-Social Intelligence: A Lane-Free Autonomous Intersection Management Method in Metaverse 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 12
作者:  Li, Bai;  Cao, Dongpu;  Tang, Shiqi;  Zhang, Tantan;  Dong, Hairong;  Wang, Yaonan;  Wang, Fei-Yue
收藏  |  浏览/下载：297/0  |  提交时间：2023/02/22
Autonomous intersection management (AIM)  cyber-physical-social intelligence  metaverse  numerical optimal control