高洪波｜中国科学技术大学｜学者主页

2026

A Real-Time Decision-Making and Motion Planning Framework With Collision Avoidance for Intelligent Vehicle

Ming Zhao, Hongbo Gao, Xiang-Yun Ren, Xiaoyu Zhang, Fenghua Liang, Yuan-Sheng Li, Hui-Qing Jin, Shulin Zhang, Ke-Qiang Li, Dan-Wei Wang, Bo Cheng

IEEE Transactions on Vehicular Technology

DOI

2026

A Driving-By-Targets Algorithm Based on Deep Reinforcement Learning for Intelligent Vehicle

Hongbo Gao, Ming Zhao, Zheng-Tian Wu, Yong Wang, Yu Kang, Yuchao Liu, Shao-Yuan Li, Dan-Wei Wang, Deyi Li

IEEE/ASME transactions on mechatronics

DOI

2025

Perceptual Uncertainty-Aware Motion Planning for Autonomous Driving Based on Adaptive Heuristic Reinforcement Learning

Chuan-Ping Hu, Bai-Yu Du, Zhi-Dong Wang, Qi-Chao Zhang, Rong-Hui Zhang, Hongbo Gao

IEEE transactions on intelligent transportation systems (Print)

DOI

2025

Longitudinal velocity control of autonomous driving based on extended state observer

Hongbo Gao, Hanqing Yang, Xiaoyu Zhang, Xiang-Yun Ren, Fenghua Liang, Rui-Dong Yan, Qingchao Liu, Ming-Mao Hu, Fang Zhang, Jia-Bin Gao, Siyu Bao, Ke-Qiang Li, Deyi Li, Dan-Wei Wang

CAAI Transactions on Intelligence Technology

DOI

2025

Concept, principle, and modeling of driving risk entropy based on human-vehicle-road coupling model for autonomous vehicle

Hongbo Gao, Hanqing Yang, Juping Zhu, Huiping Su, Chao Tang, Xinmiao Wang, Junjian Shi, Cuican Shen, Zhiyong Liu, Ke-Qiang Li

Neurocomputing

DOI

2025

Behavior trajectory prediction for motor vehicle based on human–vehicle–road coupling model

Xiangyun Ren, Runda Niu, Xi He, Hongbo Gao, Jie Li, Jiawei Qin, Ke-Qiang Li, Bo Cheng, Xiaoyu Zhang

International Journal of Machine Learning and Cybernetics

DOI

2025

Driving Risk Assessment for Intelligent Vehicles Based on Entropy-Informed Graph Neural Networks and Gaussian Distributions

Hongbo Gao, Chengbo Wang, Runda Niu, Xiao-Zhao Fang, Jin-Peng Chen, Yining Sun, Hui-Qing Jin, Dan-Wei Wang

IEEE Transactions on Neural Networks and Learning Systems

DOI

2025

Correction to: An advanced reinforcement learning control method for quadruped robots in typical urban terrains

Chi Yan, Ning Wang, Hongbo Gao, Xinmiao Wang, Chao Tang, Lin Zhou, Yuehua Li, Yue Wang

International Journal of Machine Learning and Cybernetics

DOI

2024

An improved hierarchical deep reinforcement learning algorithm for multi-intelligent vehicle lane change

Hongbo Gao, Ming Zhao, Xiao Zheng, Chengbo Wang, Lin Zhou, Ya-Fei Wang, Lei Ma, Bo Cheng, Zhen-Yu Wu, Yuan-Sheng Li

Neurocomputing

DOI

2024

Optimal Tracking Control for Autonomous Vehicle With Prescribed Performance via Adaptive Dynamic Programming

Chuan-Ping Hu, Ziao Wang, Xiangwei Bu, Jun Zhao, Jing Na, Hongbo Gao

IEEE transactions on intelligent transportation systems (Print)

DOI

2024

Pre-trained Transformer-Enabled Strategies with Human-Guided Fine-Tuning for End-to-end Navigation of Autonomous Vehicles

Dong Hu, Chao Huang, Jingda Wu, Hongbo Gao

arXiv.org

DOI

2024

A Spatial–Temporal Predictive Transformer Network for Level-3 Autonomous Vehicle Decision-Making

Hongbo Gao, Xiao Zheng, Qing-Chao Liu, Lin Zhou, Chao Huang, Ming-Mao Hu, Chengbo Wang, Ke-Qiang Li, Dan-Wei Wang, Deyi Li

IEEE Transactions on Neural Networks and Learning Systems

DOI

2024

An advanced reinforcement learning control method for quadruped robots in typical urban terrains

Chi Yan, Ning Wang, Hongbo Gao, Xinmiao Wang, Chao Tang, Lin Zhou, Yuehua Li, Yue Wang

International Journal of Machine Learning and Cybernetics

DOI

2024

COLERGs-constrained safe reinforcement learning for realising MASS's risk-informed collision avoidance decision making

Chengbo Wang, Xinyu Zhang, Hongbo Gao, Musa B. Bashir, Huanhuan Li, Zaili Yang

Knowledge-Based Systems

DOI

2024

Optimizing anti-collision strategy for MASS: A safe reinforcement learning approach to improve maritime traffic safety

Chengbo Wang, Xinyu Zhang, Hongbo Gao, Musa B. Bashir, Huanhuan Li, Zaili Yang

Ocean & Coastal Management

DOI

2024

Knowledge transfer enabled reinforcement learning for efficient and safe autonomous ship collision avoidance

Chengbo Wang, Ning Wang, Hongbo Gao, Leihao Wang, Yizhuo Zhao, Mingxing Fang

International Journal of Machine Learning and Cybernetics

DOI

2023

基于深度学习和虚拟模型的路面全域伤损状态自动化感知

邱实，陈斌，胡文博，王卫东，伍定泽，张晨雷，汪雯娟，高洪波，王劲

《中国公路学报》

2023

Car-following strategy of intelligent connected vehicle using extended disturbance observer adjusted by reinforcement learning

Rui-Dong Yan, Peng-Hui Li, Hongbo Gao, Jin Huang, Chengbo Wang

CAAI Transactions on Intelligence Technology

DOI

2023

Unsignalized Intersection Vehicle Scheduling Decision Based on Real-Time Queuing Model

Hongbo Gao, Hanqing Yang, Fei Zhang, Ming Zhao, Da Shen

2023 IEEE International Conference on Unmanned Systems (ICUS)

DOI

2023

Trajectory Prediction in the Complex Junction Scene Using Information Fusion and Behavior Pattern Recognition

Yanzhen Liao, Hanqing Yang, Feifan Huang, Ce Feng, Hongbo Gao, Ruhai Jiang

2023 IEEE International Conference on Unmanned Systems (ICUS)

DOI

2023

Altruistic cooperative adaptive cruise control of mixed traffic platoon based on deep reinforcement learning

Sikai Lu, Ying-Feng Cai, Long Chen, Hai Wang, Xiao-Qiang Sun, Hongbo Gao

IET Intelligent Transport Systems

DOI

2023

Trajectory tracking control of autonomous heavy-duty mining dump trucks with uncertain dynamic characteristics

Liang Chen, Zhaobo Qin, Manjiang Hu, Hongbo Gao, You-Gang Bian, Biao Xu, Xiaoyan Peng

Science China Information Sciences

DOI

2023

Multi-target Detection and Classification for Intelligent Vehicle Based on Deep Learning

Hongbo Gao, Huiping Su, He Xi, Yanzhen Liao, Yulin Wu, Juping Zhu, Fei Zhang

Communications in computer and information science

DOI

2023

Traffic intersection crossing method for intelligent vehicles based on game theory

Yikai Wang, Zhuming Nie, Yuquan Wu, Xiaozhao Fang, Xi Guang He, Hongbo Gao

International Journal of Space-Based and Situated Computing

DOI

2022

The surrounding vehicles behavior prediction for intelligent vehicles based on Att-BiLSTM

Yunqing Gao, Juping Zhu, Hongbo Gao

JUSTC

DOI

2022

Guest Editorial Special Issue on Artificial Intelligence for Autonomous Unmanned System Applications

Hongbo Gao, Ming Liu, Fei Chen, Xiao-Xiang Na, Ding Zhao, Jingtao Wang, L. Kong, Keqiang Li, Chun-Yi Su

IEEE Transactions on Automation Science and Engineering

DOI

2022

Nonlinear model predictive lateral control for automated parking system with position and attitude coordination control

Liang Chen, Zhaobo Qin, Manjiang Hu, Hongbo Gao, Fei Zhang, You-Gang Bian, Biao Xu, Xiaoyan Peng, Jia-Xi Hu

Youth Academic Annual Conference of Chinese Association of Automation

DOI

2022

Automatic Parking Control of Unmanned Vehicle Based on Switching Control Algorithm and Backstepping

Hongbo Gao, Juping Zhu, Xin-De Li, Yu Kang, Jiehao Li, Hang Su

IEEE/ASME transactions on mechatronics

DOI

2022

Pedestrian Behavior Prediction Method for Intelligent Vehicles Based on Convolutional Neural Network

Hongbo Gao, Xi He, Liuchang Wang, Fei Zhang, Kai-Quan Cai, Xiaozhao Fang

2022 IEEE International Conference on Unmanned Systems (ICUS)

DOI

2022

Multiobjective adaptive car-following control of an intelligent vehicle based on receding horizon optimization

Hongbo Gao, Juping Zhu, Fei Zhang, Rui-Dong Yan, Junjie Zhou, Lei Jiang, Jian-Qiang Wang, Keqiang Li

Science China Information Sciences

DOI

2021

Personalized Trajectory Planning and Control of Lane-Change Maneuvers for Autonomous Driving

Chao Huang, Hai-Long Huang, Peng Hang, Hongbo Gao, Jing-Da Wu, Zhi-Yu Huang, Chen Lv

IEEE Transactions on Vehicular Technology

DOI

2021

Interpretable Decision-Making for Autonomous Vehicles at Highway On-Ramps With Latent Space Reinforcement Learning

Huanjie Wang, Hongbo Gao, Shi-Hua Yuan, Hong-Fei Zhao, Ke-Long Wang, Xiulai Wang, Ke-Qiang Li, Deyi Li

IEEE Transactions on Vehicular Technology

DOI

2021

Lateral Control of Intelligent Driving Vehicles under Extreme Conditions

Fei Zhang, Juping Zhu, Yuan-Sheng Li, Qing Xu, Yuan-Long Wan, Hongbo Gao, Chengcai Wang

2021 IEEE International Conference on Unmanned Systems (ICUS)

DOI

2021

Robust Lateral Trajectory Following Control of Unmanned Vehicle Based on Model Predictive Control

Hongbo Gao, Zhen Kan, Ke-Qiang Li

IEEE/ASME transactions on mechatronics

DOI

2021

Control Rights Distribution Weights and Takeover Authority for Human-machine Co-driving based on Fuzzy Control Algorithm*

Yuanyuan Wang, Fei Zhang, Hongbo Gao, Yuan-Sheng Li, Qing Xu, Chengcai Wang

2021 IEEE International Conference on Unmanned Systems (ICUS)

DOI

2021

Adaptive Finite-Time Trajectory Tracking Control of Autonomous Vehicles That Experience Disturbances and Actuator Saturation

Hongbo Gao, Fei Chen, Zhengyuan Hao, Xi He, Hang Su, Ke-Qiang Li, Zhen Kan

IEEE Intelligent Transportation Systems Magazine

DOI

2021

Receding Horizon Control Based Motion Planning with Partially Infeasible LTL Constrains

Mingyu Cai, Hao Peng, Zhijun Li, Hongbo Gao, Zhen Kan

American Control Conference

DOI

2021

RISE-Based Integrated Motion Control of Autonomous Ground Vehicles With Asymptotic Prescribed Performance

Chuan Hu, Hongbo Gao, Jing-Hua Guo, Hamid Taghavifar, Ye-Chen Qin, J. Na, Chongfeng Wei

IEEE Transactions on Systems, Man & Cybernetics. Systems

DOI

2021

Trajectory prediction of cyclist based on dynamic Bayesian network and long short-term memory model at unsignalized intersections

Hongbo Gao, Hang Su, Ying-Feng Cai, Renfei Wu, Zhengyuan Hao, Yong-Neng Xu, Wei Wu, Jianqing Wang, Zhijun Li, Zhen Kan

Science China Information Sciences

DOI

2021

Discretionary Cut-In Driving Behavior Risk Assessment Based on Naturalistic Driving Data

Hongbo Gao, Chuan Hu, Guotao Xie, Chao Han

IEEE Intelligent Transportation Systems Magazine

DOI

2020

Driving policies of V2X autonomous vehicles based on reinforcement learning methods

Zhen-Yu Wu, Kai Qiu, Hongbo Gao

IET Intelligent Transport Systems

DOI

2020

Situational Assessment for Intelligent Vehicles Based on Stochastic Model and Gaussian Distributions in Typical Traffic Scenarios

Hongbo Gao, Juping Zhu, Tong Zhang, Guo-Tao Xie, Zhen Kan, Zhengyuan Hao, Kang Liu

IEEE Transactions on Systems, Man & Cybernetics. Systems

DOI

2020

Receding Horizon Control-Based Motion Planning With Partially Infeasible LTL Constraints

Mingyu Cai, Hao Peng, Zhijun Li, Hongbo Gao, Zhen Kan

IEEE Control Systems Letters

DOI

2020

Optimal Probabilistic Motion Planning with Partially Infeasible LTL Constraints

Mingyu Cai, Zhijun Li, Hongbo Gao, Shao-Ping Xiao, Zhen Kan

arXiv.org

2019

深度神经网络的关键技术及其在自动驾驶领域的应用

李升波，关阳，侯廉，高洪波，段京良，梁爽，汪玉，成波，李克强，任伟，李骏

《汽车安全与节能学报》

2019

Learning driving behavior for autonomous vehicles using deep learning based methods*

Zhen-Yu Wu, Chuanyi Li, Jiaying Chen, Hongbo Gao

International Conference on Advanced Robotics and Mechatronics

DOI

2018

基于深度学习的自动驾驶技术综述

张新钰，高洪波，赵建辉，周沫

《清华大学学报(自然科学版)》

2018

基于时间延迟动态预测的自动驾驶控制

赵建辉，高洪波，张新钰，张颖麟

《清华大学学报(自然科学版)》

2018

基于驾驶脑的智能驾驶车辆硬件平台架构

李德毅，高洪波

Engineering

2017

Longitudinal Control for Mengshi Autonomous Vehicle via Gauss Cloud Model

Hongbo Gao, Xinyu Zhang, Yuchao Liu, Deyi Li

Sustainability，Vol. 90, No. 120

DOI

2017

Driver braking behavior analysis to improve autonomous emergency braking systems in typical Chinese vehicle-bicycle conflicts

Jingliang Duan, Renjie Li, Lian Hou, Wenjun Wang, Guofa Li, Shengbo Eben Li, Bo Cheng, Hongbo Gao

Accident Analysis And Prevention，Vol. 108

DOI

2017

Situational Assessments Based on Uncertainty-Risk Awareness in Complex Traffic Scenarios

Guotao Xie, Xinyu Zhang, Hongbo Gao, Lijun Qian, Jianqiang Wang, Umit Ozguner

Sustainability，Vol. 90, No. 90

DOI

2017

Lateral control of autonomous vehicles based on learning driver behavior via cloud model

Hongbo Gao, Guo-Tao Xie, Hong-zhe Liu, Xinyu Zhang, Deyi Li

DOI

2016

基于云模型的智能驾驶车辆变粒度测评研究

高洪波，张新钰，张天雷，刘玉超，李德毅

《电子学报》

精选作品

期刊论文

A Real-Time Decision-Making and Motion Planning Framework With Collision Avoidance for Intelligent Vehicle

A Driving-By-Targets Algorithm Based on Deep Reinforcement Learning for Intelligent Vehicle

Perceptual Uncertainty-Aware Motion Planning for Autonomous Driving Based on Adaptive Heuristic Reinforcement Learning

Longitudinal velocity control of autonomous driving based on extended state observer

Concept, principle, and modeling of driving risk entropy based on human-vehicle-road coupling model for autonomous vehicle

Behavior trajectory prediction for motor vehicle based on human–vehicle–road coupling model

Driving Risk Assessment for Intelligent Vehicles Based on Entropy-Informed Graph Neural Networks and Gaussian Distributions

Correction to: An advanced reinforcement learning control method for quadruped robots in typical urban terrains

An improved hierarchical deep reinforcement learning algorithm for multi-intelligent vehicle lane change

Optimal Tracking Control for Autonomous Vehicle With Prescribed Performance via Adaptive Dynamic Programming

Pre-trained Transformer-Enabled Strategies with Human-Guided Fine-Tuning for End-to-end Navigation of Autonomous Vehicles

A Spatial–Temporal Predictive Transformer Network for Level-3 Autonomous Vehicle Decision-Making

An advanced reinforcement learning control method for quadruped robots in typical urban terrains

COLERGs-constrained safe reinforcement learning for realising MASS's risk-informed collision avoidance decision making

Optimizing anti-collision strategy for MASS: A safe reinforcement learning approach to improve maritime traffic safety

Knowledge transfer enabled reinforcement learning for efficient and safe autonomous ship collision avoidance

基于深度学习和虚拟模型的路面全域伤损状态自动化感知

Car-following strategy of intelligent connected vehicle using extended disturbance observer adjusted by reinforcement learning

Unsignalized Intersection Vehicle Scheduling Decision Based on Real-Time Queuing Model

Trajectory Prediction in the Complex Junction Scene Using Information Fusion and Behavior Pattern Recognition

Altruistic cooperative adaptive cruise control of mixed traffic platoon based on deep reinforcement learning

Trajectory tracking control of autonomous heavy-duty mining dump trucks with uncertain dynamic characteristics

Multi-target Detection and Classification for Intelligent Vehicle Based on Deep Learning

Traffic intersection crossing method for intelligent vehicles based on game theory

The surrounding vehicles behavior prediction for intelligent vehicles based on Att-BiLSTM

Guest Editorial Special Issue on Artificial Intelligence for Autonomous Unmanned System Applications

Nonlinear model predictive lateral control for automated parking system with position and attitude coordination control

Automatic Parking Control of Unmanned Vehicle Based on Switching Control Algorithm and Backstepping

Pedestrian Behavior Prediction Method for Intelligent Vehicles Based on Convolutional Neural Network

Multiobjective adaptive car-following control of an intelligent vehicle based on receding horizon optimization

Personalized Trajectory Planning and Control of Lane-Change Maneuvers for Autonomous Driving

Interpretable Decision-Making for Autonomous Vehicles at Highway On-Ramps With Latent Space Reinforcement Learning

Lateral Control of Intelligent Driving Vehicles under Extreme Conditions

Robust Lateral Trajectory Following Control of Unmanned Vehicle Based on Model Predictive Control

Control Rights Distribution Weights and Takeover Authority for Human-machine Co-driving based on Fuzzy Control Algorithm*

Adaptive Finite-Time Trajectory Tracking Control of Autonomous Vehicles That Experience Disturbances and Actuator Saturation

Receding Horizon Control Based Motion Planning with Partially Infeasible LTL Constrains

RISE-Based Integrated Motion Control of Autonomous Ground Vehicles With Asymptotic Prescribed Performance

Trajectory prediction of cyclist based on dynamic Bayesian network and long short-term memory model at unsignalized intersections

Discretionary Cut-In Driving Behavior Risk Assessment Based on Naturalistic Driving Data

Driving policies of V2X autonomous vehicles based on reinforcement learning methods

Situational Assessment for Intelligent Vehicles Based on Stochastic Model and Gaussian Distributions in Typical Traffic Scenarios

Receding Horizon Control-Based Motion Planning With Partially Infeasible LTL Constraints

Optimal Probabilistic Motion Planning with Partially Infeasible LTL Constraints

深度神经网络的关键技术及其在自动驾驶领域的应用

Learning driving behavior for autonomous vehicles using deep learning based methods*

基于深度学习的自动驾驶技术综述

基于时间延迟动态预测的自动驾驶控制

基于驾驶脑的智能驾驶车辆硬件平台架构

Longitudinal Control for Mengshi Autonomous Vehicle via Gauss Cloud Model

Driver braking behavior analysis to improve autonomous emergency braking systems in typical Chinese vehicle-bicycle conflicts

Situational Assessments Based on Uncertainty-Risk Awareness in Complex Traffic Scenarios

Lateral control of autonomous vehicles based on learning driver behavior via cloud model

基于云模型的智能驾驶车辆变粒度测评研究

研究方向