胡川
副教授所在系所:智能汽车研究所
电子邮件:chuan.hu@sjtu.edu.cn
通讯地址:上海交大suncitygroup太阳集团A628
个人主页:https://sites.google.com/site/chuanhumac/home
教育背景
博士,机械工程,麦克马斯特大学,汉密尔顿,加拿大,2017.06
硕士,载运工具运用工程,中国铁道科学研究院,北京,中国,2013.07
本科,车辆工程, 清华大学,北京,中国,2010.07
工作经历
副教授,博导,suncitygroup太阳集团,上海交通大学,上海,中国,2022.07 - 现在
助理教授,博导,机械工程系,阿拉斯加大学费尔班克斯分校, 费尔班克斯, 美国,2020.06 - 2022.06
博士后,机械工程系,德州大学奥斯汀分校, 奥斯汀, 美国,2018.08 - 2020.06
博士后,系统设计工程系,滑铁卢大学, 滑铁卢, 加拿大,2017.07 - 2018.07
研究方向
研究领域主要围绕“智能网联汽车自动驾驶“ &“人机交互与人机共驾”。面向对象主要围绕地面智能载运和无人系统,包括智能网联汽车、智能座舱以及无人车辆(AGV)。具体开展以下研究:
1. 模块化与端到端自动驾驶:
(1)感知定位:环境感知, 激光雷达-相机融合感知, BEV, V2V协同感知, ;
(2)预测规划:行人车辆轨迹预测,风险评估,行为决策,运动规划,;
(3)运动控制:轨迹跟踪,智能底盘控制,动力学控制;
(4)端 到 端 :端到端自动驾驶,大模型应用:
2. 线控底盘与底盘智能化
(1)线控转向,高阶智驾接管控制
(2)线控底盘,独立驱动车辆控制,漂移控制, 安全节能驾驶
(3)轮腿式无人车,机械臂小车,复合机器人AGV
*3. 人机交互与人机共驾(本组特色/前沿研究领域):
(1)人因建模与量化:包括人机信任、风险感知、分心、疲劳、情绪;
(2)L3级别自动驾驶驾驶员接管绩效建模与预测,驾驶能力监测;
(3)人机共驾/协同驾驶,合作博弈,柔性接管策略,最优协同控制。
长年招收博士后与硕士研究生,欢迎优秀学子联系保研/报考进组 (2025、2026年博士名额已满)。本课题组优势:
(1) 研究领域覆盖自动驾驶全栈算法,研究方向较为全面和前沿,有充足的配套硬件,重点涉及复杂环境下感知、决策,人机信任/人机交互,与华为、上汽、国电投等头部大型企业有多项合作;
(2) 导师学术较活跃,本科毕业于清华车辆专业,有北美名校近十年科研经验,为国家海外高层次青年人才,多个智能驾驶顶刊副主编;认真负责,深度指导学生科研,尊重和支持学生个性化发展;
(3) 组内氛围积极、民主、上进,支持优秀学生出国学术访问与交流,可推荐优秀学生到国外名校深造;有本组优秀的学长学姐从零指导,并聘有外校客座知名导师和学者参与合作指导交流。
学术兼职
--曾/目前担任多个国际期刊副主编:
• IEEE Transactions on Intelligent Vehicles(IF: 14.3) (2020-至今)
• IEEE Transactions on Transportation Electrification(IF: 8.3) (2019-至今)
• IEEE Transactions on Intelligent Transportation Systems(IF: 8.4) (2021-至今)
• IEEE Transactions on Vehicular Technology(IF: 7.1 ) (2020-至今)
• Journal of Field Robotics(IF: 5.2) (2025-至今)
• IEEE Sensors Journal(IF: 4.5) (2025-至今)
• IEEE Transactions on Neural Networks and Learning Systems(IF: 8.9)(2022-2024)
客座编辑
• eTransportation (IF: 17, 中科院1区): Special issue, 2022.
上海交大
2024, 2025年秋季本科生:机械与动力仿真实践(机械类),ME4913,4学分,64学时
2024, 2025年春季非全日制:智能网联汽车技术与产业发展,MEM8243,1学分,16学时
2024年春季研究生:现代控制理论,ME6540,3学分,48学时
2020-2022 美国阿拉斯加大学费尔班克斯分校(UAF)
• 本科生:Dynamics of Machinery
• 本科生:Machine Design
• 本科生:Computer Aided Design (CAD)
• 本科生:Computer Aided Manufacturing (CAM)
科研项目
回国后:
--- 横向项目:
4. 主持,智能矿车规控系统设计开发
3. 主持,L4级无人清扫车系统开发
2. 主持,智能矿车预测与规划算法开发
1. 主持,百吨级自动驾驶自卸车智驾系统设计
--- 纵向项目:
5. 参与,国家自然科学基金面上项目 “紧急工况下线控车辆的人机协同漂移转向和控制机理研究”
4. 主持,国家海外优秀青年科学基金项目, 2024-2027。
3. 主持,上海交通大学Explore X基金(华为战略研究院人才Funding项目), 2023-2026。
2. 主持,上海交通大学长聘教轨副教授科研启动经费,2022-2025。
1. 主持,上海市领军人才计划,2022。
回国前(美国/加拿大):
6. 主持: 美国国家航空航天局, Alaska NASA EPSCoR 项目, "DataDriven Motion Planning and Control of Planetary Exploration Rovers on Deformable Terrains", 2021-2022。
5. 主持: 美国西北交通部门 PacTrans, Region 10 University Transportation Center Research Small Project 项目, "Data-Driven Motion Control of Autonomous Vehicles in GPS Unreliable Environments",2021-2022。
4. 参与: 美国德州交通部 RTI Project 科研项目, "Defining Operational Design Domains (ODDs) for the Safe Blending of Levels 0-4 Connected and Autonomous Vehicles (CAVs) in the Traffic Stream", 2019-2021。
3. 参与: 加拿大 Maplesoft 公司,企业科研项目, "Model based Estimator for Autonomous Vehicle Control", 2017-2019。
2. 主持: 加拿大 McMaster University校级项目, "Automatic Driving Motion Control Algorithm based on Differential Steering Function and Experimental Verification," 2015。
1. 主持: 加拿大 Mitacs 公司,Mitacs Globalink 博士生企业科研项目, "Control Algorithm Design and Simulation of Independently Driven Electric Vehicle", 2014。
代表性论文专著
在自动驾驶领域高水平期刊发表 100 多篇论文(第一/通讯作者论文 45 篇)。近五年代表作如下:(00.表示回国前发表) 谷歌学术
一、环境感知/定位
07. Yonghui Huang, Chuan Hu, Wenfeng Leng, Zhi Liu, Hangwen Zhang, Xi Zhang*, "AW-FRVP: Unsupervised Efficient Point Cloud Denoising for IoT Participants in Adverse Weather", IEEE Internet of Things Journal, 2025.
06. Yakang Wang, Baixuan Zhao, Siheng Chen, Daxin Tian, Chuan Hu*, Xi Zhang, “A Lightweight Two-Stage Multi-vehicle Feature Fusion Method Guided by Global Feature,” IEEE Sensors Journal, 2025.
05. Biao Yang, Yuanhui Guo, Rongrong Ni , Yi Liu, Guofa Li, Chuan Hu*, “Asymmetric multimodal guidance fusion network for realtime visible and thermal semantic segmentation,” Engineering Applications of Artificial Intelligence, 2024.
04. Yonghui Huang, Chuan Hu, Wenfeng Leng, Xi Zhang*, SS-WDA: Unsupervised Domain Adaptative 3D Detection from Clear to Fog via Noise Simulation and Self-Training, IEEE Sensors Journal, 2024.
03. Baixuan Zhao, Chuan Hu, Wangwang Zhu, Shuang Hu, and Xi Zhang*. "Visual Attention Estimation Algorithm and Dynamic Neural Network Based Object Detection for Intelligent Vehicles." IEEE Sensors Journal, 2024.
02. Yanhao Liu, Chuan Hu, Baixuan Zhao, Yonghui Huang, and Xi Zhang*, Region-Based Illumination-Temperature Awareness and Cross-Modality Enhancement for Multispectral Pedestrian Detection. IEEE Transactions on Intelligent Vehicles, 2024.
01. Qi Jiang, Chuan Hu, Baixuan Zhao, Yonghui Huang, and Xi Zhang*. "Scalable 3d object detection pipeline with center-based sequential feature aggregation for intelligent vehicles." IEEE Transactions on Intelligent Vehicles, 2023.
00. Huijuan Hu, Chuan Hu* and Xuetao Zhang, "A Variational Approach for Estimation of Monocular Depth and Camera Motion in Autonomous Driving," Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2021.
二、人/车意图/轨迹预测
08. Ruochen Niu, Chuan Hu*, Biao Yang, Hao Chen, Zhengrui Dai, "Egocentric Pedestrian Trajectory Prediction with Agent-Wise Motion Fusion," IEEE Internet of Things Journal, 2025.
07. Chuan Hu, Peichuan Lang, Hao Chen, Biao Yang, Dianchen Zhu*, "A CVAE Combined with Diffusion Mechanism to Pedestrian Trajectory Prediction", IEEE Robotics and Automation Letters , 2025.
06. Hao Jiang, Baixuan Zhao, Chuan Hu*, Hao Chen, Xi Zhang, "Multi-modal Vehicle Motion Prediction Based on Motion-query Social Transformer Network for Internet of Vehicles," IEEE Internet of Things Journal, 2025.
05. Hao Jiang, Chuan Hu, Yixun Niu, Biao Yang, Member, Hao Chen, Xi Zhang*, "Hybrid Attention-based Multi-task Vehicle Motion Prediction Using Non-Autoregressive Transformer and Mixture of Experts," IEEE Transactions on Intelligent Vehicles, 2024.
04. Chuan Hu, Ruochen Niu, Yiwei Lin, Biao Yang, Hao Chen, Baixuan Zhao, Xi Zhang, "Probabilistic Trajectory Prediction of Vulnerable Road User Using Multimodal Inputs," IEEE Transactions on Intelligent Transportation Systems, 2024.
03. Hao Chen, Chongfeng Wei, Yinhua Liu, Chuan Hu, and Xi Zhang*. "Vulnerable Traffic Participant Trajectory Prediction Based on Gate Recurrent Unit-Attention and Ameliorative Social Force Model." IEEE Transactions on Transportation Electrification, 2024.
02. Hao Chen, Yinhua Liu, Chuan Hu, and Xi Zhang*. "Vulnerable road user trajectory prediction for autonomous driving using a data-driven integrated approach." IEEE Transactions on Intelligent Transportation Systems, 2023.
01. Hao Chen, Yinhua Liu, Baixuan Zhao, Chuan Hu, and Xi Zhang*. "Vision-based real-time online vulnerable traffic participants trajectory prediction for autonomous vehicle." IEEE Transactions on Intelligent Vehicles, 2022.
00. Hongbo Gao, Yechen Qin, Chuan Hu*, Yuchao Liu, Keqiang Li, and Deyi Li, “An Interacting Multiple Model for Trajectory Prediction of Intelligent Vehicles in Typical Road Traffic Scenario," IEEE Transactions on Neural Networks and Learning Systems, 2022.
三、行为决策/路径规划
05. Chuan Hu, Yixun Niu, Hao Jiang, Xi Zhang, Xin Cheng, "Decision-Making for Autonomous Driving via a Coupled Reinforcement Learning Network Combined with Risk Assessment", IEEE Robotics and Automation Letters, 2025.
04. Chuan Hu, Zihao Chen, Ronghui Zhang, Daofei Li, Hui Pang*, and Xi Zhang, “Interaction and Risk-Aware Spatio-Temporal Trajectory Planning for Autonomous Driving Considering Game Interaction," IEEE Transactions on Vehicular Technology, 2025.
03. Chuan Hu, Baiyu Du, Zhidong Wang, Qichao Zhang, Ronghui Zhang, Hongbo Gao, "Perceptual Uncertainty-Aware Motion Planning for Autonomous Driving Based on Adaptive Heuristic Reinforcement Learning", IEEE Transactions on Intelligent Transportation Systems, 2025.
02. Zhidong Wang, Chongfeng Wei, Xiaolin Tang, Wanzhong Zhao, Chuan Hu* and Xi Zhang, Adaptive Risk Tendency in Uncertainty-Aware Motion Planning Using Risk-Sensitive Reinforcement Learning, Advanced Engineering Informatics, 2024.
01. Wangwang Zhu, Xi Zhang*, Chuan Hu, Baixuan Zhao, Shiwei Peng, and Haocheng Yang. "A Comfort Quantification Method Based on Semi-Supervised Learning for Automated Vehicle at Lane Change Scenarios." IEEE Transactions on Intelligent Vehicles, 2022.
四、运动控制/线控底盘控制
06. Chuan Hu, Renbin Li, Pak Kin Wong, Shilu Dai, Zhengchao Xie, and Jing Zhao, ACKF-Based Finite-Time Prescribed Performance RISE Control for Asymptotic Trajectory Tracking of ASVs With Input Saturation, Accepted, IEEE Transactions on Vehicular Technology, 2024.
05. Chuan Hu, Yuxin Wang, Jing Na, Ge Guo, Zhiqiang Zuo, Hong Gao and Xi Zhang*, Optimal Adaptive Cruise Control in Mixed Traffic with Communication Latence and Driver Reaction, Accepted, IEEE Transactions on Intelligent Transportation Systems, 2024.
04. Chuan Hu, Hamid Taghavifar, Xin Liao, Jing Na, Yu Zhang, and Yechen Qin, Adaptive Synthesized Fault-Tolerant Autonomous Ground Vehicle Control with Guaranteed Performance and Saturated Input, IEEE Transactions on Vehicular Technology, 2024
03. Chuan Hu, Ziao Wang, Xiangwei Bu, Jun Zhao, Jing Na, and Hongbo Gao, "Optimal Tracking Control for Autonomous Vehicle With Prescribed Performance via Adaptive Dynamic Programming," in press, IEEE Transactions on Intelligent Transportation Systems, 2024.
02. Chuan Hu, Minhao Liu, Lei Wang, Hui Pang*, Optimization-Based Adaptive Trajectory Tracking Controller Design of Self-balanced Vehicle with Asymptotic Prescribed Performance, ISA Transactions, 2024.
01. Jing Zhao, Wenfeng Li, Chuan Hu*, Ge Guo, Zhengchao Xie, and Pak Kin Wong, "Robust Gain-Scheduling Path Following Control of Autonomous Vehicles Considering Stochastic Network-Induced Delay," IEEE Transactions on Intelligent Transportation Systems, 2022.
00. Chuan Hu, Yimin Chen, and Junmin Wang, “Fuzzy Observer-Based Transitional Path-Tracking Control for Autonomous Vehicles,”IEEE Transactions on Intelligent Transportation Systems, in press, 2020.
00. Chuan Hu, Hongbo Gao, Jinghua Guo, Hamid Taghavifar, Chongfeng Wei, and Yechen Qin, and Jing Na, "RISE-Based Integrated Motion Control of Autonomous Ground Vehicles with Asymptotic Prescribed Performance," IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020.
00. Chuan Hu, Zhengfeng Wang, Yechen Qin, Yanjun Huang, Jinxiang Wang, and Rongrong Wang, “Lane Keeping Control of Autonomous Vehicles With Prescribed Performance Considering the Rollover Prevention and Input Saturation," IEEE Transactions on Intelligent Transportation Systems, 2020.
五、人机交互/人机共驾
08. Yingkui Shi, Sicheng Ge, Anh-Tu Nguyen, Senior Member, IEEE, Ji Li, Chao Huang and Chuan Hu*, Trust-based Shared Steering Control with Game Theory Using Event-Triggered ADP for Human-Vehicle Cooperative Driving, IEEE Transactions on Vehicular Technology, 2025.
07. Ying Zhang, Zhenghan Li, Chuan Hu*, Yingjie Zhang, Jinchao Chen, Chenglie Du, "Human-Machine Shared Steering Decision-Making of Intelligent Vehicles Based on Heterogeneous Synchronous Reinforcement Learning, IEEE Transactions on Intelligent Transportation Systems, 2025.
06. Han Zhang, Yuhan Liu, Wanzhong Zhao, Chuan Hu*, Jing Zhao, "Human-Machine Shared Control for Steer-by-Wire Vehicles Using Improved Reinforcement Learning-based MPC", IEEE Transactions on Intelligent Transportation Systems, 2025.
05. Chuan Hu, Sicheng Ge, Yingkui Shi, Weinan Gao, Wenfeng Guo and Xi Zhang*, "Composite Nonlinear Trajectory Tracking Control of Co-Driving Vehicles Using Self-Triggered Adaptive Dynamic Programming", IEEE Transactions on Consumer Electronics, 2024.
04. Chuan Hu, Yingkui Shi, Sicheng Ge, Hongyu Hu, Jing Zhao, Xi Zhang, "Trust-based Shared Control of Human-Vehicle System Using Model Free Adaptive Dynamic Programming", IEEE Transactions on Intelligent Vehicles, 2024.
03. Yahui Zhang, Haohan Zhao, Chuan Hu*, Yang Tian, Ying Li, Xiaohong Jiao, Guilin Wen, “Mitigation of Motion Sickness and Optimization of Motion Comfort in Autonomous Vehicles: Systematic Survey,“ IEEE Transactions on Intelligent Transportation Systems, 2024.
02. Chuan Hu, Siwei Huang, Yu Zhou, Sicheng Ge, Binlin Yi, Xi Zhang, Xiaodong Wu*, “Dynamic and Quantitative Trust Modeling and Real-Time Estimation in Human-Machine Co-Driving Process", Transportation Research Part F: Traffic Psychology and Behaviour, 2024.
01. Wangwang Zhu, Xi Zhang*, Chuan Hu, Baixuan Zhao, and Yixun Niu. "Passenger Comfort Quantification for Automated Vehicle Based on Stacking of Psychophysics Mechanism and Encoder-Transformer Model." IEEE Transactions on Intelligent Transportation Systems, 2023.
00. Chuan Hu, Junmin Wang, “Trust-based Adaptive Cruise Control Using Control Barrier Function Approach with Prescribed Performance,” IEEE Transactions on Intelligent Transportation Systems, 2021.
国家海外高层次青年人才项目,2023
上海市领军人才计划,2022
国家优秀自费留学生奖金,2016
Mitacs Globalink 研究基金, 加拿大,2014
清华大学唐氏奖学金,2006