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Career

· Visiting Professor, National Taiwan University2022–
· Visiting Professor, University of Tokyo2006–2007
· Research Faculty, California PATH (Partners for Advanced Transportation Technology), UC Berkeley1994–
· Unknown Role, Private Sector1988–1994
· Ph.D. in Mechanical Engineering, University of California, Berkeley1988–
· Co-Director, Berkeley DeepDrive (BDD), UC Berkeley
· Lead Researcher, Institute of Transportation Studies, UC Berkeley

Publications (228)

A Reinforcement Learning Based Approach for Automated Lane Change Maneuvers
2018 IEEE Intelligent Vehicles Symposium (IV) · 2018
262
cited
Advancements, prospects, and impacts of automated driving systems
2017
251
cited
A study of pedestrian group behaviors in crowd evacuation based on an extended floor field cellular automaton model
2017
186
cited
Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks
International Conference on Intelligent Transportation Systems · 2018
150
cited
Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning
2020 IEEE Intelligent Vehicles Symposium (IV) · 2020
127
cited
Enhancing Localization Accuracy of MEMS-INS/GPS/In-Vehicle Sensors Integration During GPS Outages
IEEE Transactions on Instrumentation and Measurement · 2018
125
cited
A hybrid fusion algorithm for GPS/INS integration during GPS outages
2017
124
cited
Formulation of deep reinforcement learning architecture toward autonomous driving for on-ramp merge
2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC) · 2017
120
cited
Comfortable and energy-efficient speed control of autonomous vehicles on rough pavements using deep reinforcement learning
Transportation Research Part C: Emerging Technologies · 2022
99
cited
A non-conservatively defensive strategy for urban autonomous driving
2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) · 2016
88
cited
A Novel Direct Trajectory Planning Approach Based on Generative Adversarial Networks and Rapidly-Exploring Random Tree
IEEE transactions on intelligent transportation systems (Print) · 2022
86
cited
Multi-sensor fusion methodology for enhanced land vehicle positioning
Information Fusion · 2019
85
cited
Estimating level of service of mid-block bicycle lanes considering mixed traffic flow
2017
76
cited
A Reliable Fusion Methodology for Simultaneous Estimation of Vehicle Sideslip and Yaw Angles
IEEE Transactions on Vehicular Technology · 2016
70
cited
Crossing or Not? Context-Based Recognition of Pedestrian Crossing Intention in the Urban Environment
IEEE transactions on intelligent transportation systems (Print) · 2021
68
cited
Driving Decision and Control for Automated Lane Change Behavior based on Deep Reinforcement Learning
International Conference on Intelligent Transportation Systems · 2019
68
cited
A cellular automaton simulation model for pedestrian and vehicle interaction behaviors at unsignalized mid-block crosswalks.
Accident Analysis and Prevention · 2016
65
cited
Deep reinforcement learning based path tracking controller for autonomous vehicle
Proceedings of the Institution of mechanical engineers. Part D, journal of automobile engineering · 2020
63
cited
A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles
2021 IEEE Intelligent Vehicles Symposium (IV) · 2021
61
cited
Spatially-partitioned environmental representation and planning architecture for on-road autonomous driving
2017 IEEE Intelligent Vehicles Symposium (IV) · 2017
61
cited
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Ching-Yao Chan | Researcher Profile | Sotabase | Sotabase