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D-Index & Metrics

Engineering and Technology

D-Index
38
Citations
5271
World Ranking
8106
National Ranking
2238

Overview

Ching-Yao Chan is affiliated with the University of California, Berkeley in the United States. Their research spans multiple disciplines with a primary focus in engineering and computer science. Within these fields, they have specialized particularly in automotive engineering, control and systems engineering, and computer vision and pattern recognition, with additional interest in social psychology and artificial intelligence.

Their work covers a range of topics related to autonomous vehicle technology and safety, traffic control and management, and video surveillance and tracking methods. They have also contributed to research in traffic and road safety, human-automation interaction, anomaly detection techniques, and safety warnings and signage.

Several frequent collaborators have worked with Chan, including Pin Wang (9 joint publications), Yanli Ma (5 publications), Biao Yang (4 publications), Xiao Zhou (4 publications), and Yi He (3 publications).

Chan's research output has been published in various venues, with the most frequent outlets including:

  • arXiv (Cornell University)
  • IEEE Transactions on Intelligent Transportation Systems
  • Sensors
  • Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
  • IEEE Transactions on Intelligent Vehicles

Some of the notable recent papers authored or coauthored by Chan are:

  • "Comfortable and energy-efficient speed control of autonomous vehicles on rough pavements using deep reinforcement learning," 2021, Transportation Research Part C Emerging Technologies
  • "A Novel Direct Trajectory Planning Approach Based on Generative Adversarial Networks and Rapidly-Exploring Random Tree," 2022, IEEE Transactions on Intelligent Transportation Systems
  • "Visualization Analysis of Intelligent Vehicles Research Field Based on Mapping Knowledge Domain," 2020, IEEE Transactions on Intelligent Transportation Systems
  • "Crossing or Not? Context-Based Recognition of Pedestrian Crossing Intention in the Urban Environment," 2021, IEEE Transactions on Intelligent Transportation Systems
  • "Deep reinforcement learning based path tracking controller for autonomous vehicle," 2020, Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering

Best Publications

  • Advancements, prospects, and impacts of automated driving systems

    Unknown

  • A Reinforcement Learning Based Approach for Automated Lane Change Maneuvers

    Pin Wang;Ching-Yao Chan;Arnaud de La Fortelle

  • A study of pedestrian group behaviors in crowd evacuation based on an extended floor field cellular automaton model

    Lili Lu;Ching-Yao Chan;Jian Wang;Wei Wang

  • Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks

    Long Xin;Pin Wang;Ching-Yao Chan;Jianyu Chen

  • A hybrid fusion algorithm for GPS/INS integration during GPS outages

    Unknown

  • Comfortable and energy-efficient speed control of autonomous vehicles on rough pavements using deep reinforcement learning

    Unknown

  • Enhancing Localization Accuracy of MEMS-INS/GPS/In-Vehicle Sensors Integration During GPS Outages

    Qimin Xu;Xu Li;Ching-Yao Chan

  • Formulation of deep reinforcement learning architecture toward autonomous driving for on-ramp merge

    Unknown

  • Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning

    Fei Ye;Xuxin Cheng;Pin Wang;Ching-Yao Chan

  • Multi-sensor fusion methodology for enhanced land vehicle positioning

    Unknown

  • A Novel Direct Trajectory Planning Approach Based on Generative Adversarial Networks and Rapidly-Exploring Random Tree

    Unknown

  • A non-conservatively defensive strategy for urban autonomous driving

    Wei Zhan;Changliu Liu;Ching-Yao Chan;Masayoshi Tomizuka

  • A cellular automaton simulation model for pedestrian and vehicle interaction behaviors at unsignalized mid-block crosswalks.

    Unknown

  • A Reliable Fusion Methodology for Simultaneous Estimation of Vehicle Sideslip and Yaw Angles

    Unknown

  • A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles

    Fei Ye;Shen Zhang;Pin Wang;Ching-Yao Chan

  • A Reinforcement Learning Approach for Intelligent Traffic Signal Control at Urban Intersections

    Mengyu Guo;Pin Wang;Ching-Yao Chan;Sid Askary

  • Visualization Analysis of Intelligent Vehicles Research Field Based on Mapping Knowledge Domain

    Yi He;Shuo Yang;Ching-Yao Chan;Long Chen

  • Crossing or Not? Context-Based Recognition of Pedestrian Crossing Intention in the Urban Environment

    Biao Yang;Weiqin Zhan;Pin Wang;Chingyao Chan

  • Driving Decision and Control for Automated Lane Change Behavior based on Deep Reinforcement Learning

    Tianyu Shi;Pin Wang;Xuxin Cheng;Ching-Yao Chan

  • Estimating level of service of mid-block bicycle lanes considering mixed traffic flow

    Lu Bai;Pan Liu;Ching-Yao Chan;Zhibin Li

  • Continuous Control for Automated Lane Change Behavior Based on Deep Deterministic Policy Gradient Algorithm

    Pin Wang;Hanhan Li;Ching-Yao Chan

  • Spatially-partitioned environmental representation and planning architecture for on-road autonomous driving

    Wei Zhan;Jianyu Chen;Ching-Yao Chan;Changliu Liu

  • Acceptance of Full Driving Automation: Personally Owned and Shared-Use Concepts:

    Sanaz Motamedi;Pei Wang;Tingting Zhang;Ching-Yao Chan

  • Deep reinforcement learning based path tracking controller for autonomous vehicle

    I-Ming Chen;Ching-Yao Chan

  • A Cooperative Lane Change Model for Connected and Automated Vehicles

    Tingting Li;Jianping Wu;Ching-Yao Chan;Mingyu Liu

  • A Cost-Effective Vehicle Localization Solution Using an Interacting Multiple Model−Unscented Kalman Filters (IMM-UKF) Algorithm and Grey Neural Network

    Qimin Xu;Xu Li;Ching-Yao Chan

  • A Novel Graph based Trajectory Predictor with Pseudo Oracle

    Biao Yang;Guocheng Yan;Pin Wang;Ching-Yao Chan

  • Probabilistic Prediction from Planning Perspective: Problem Formulation, Representation Simplification and Evaluation Metric

    Wei Zhan;Arnaud La de Fortelle;Yi-Ting Chen;Ching-Yao Chan

  • Decision Making for Autonomous Driving via Augmented Adversarial Inverse Reinforcement Learning

    Pin Wang;Dapeng Liu;Jiayu Chen;Hanhan Li

Frequent Co-Authors

Masayoshi Tomizuka
Masayoshi Tomizuka University of California, Berkeley
Kanok Boriboonsomsin
Kanok Boriboonsomsin University of California, Riverside
Steven E Shladover
Steven E Shladover University of California, Berkeley
Mang Ye
Mang Ye Wuhan University
Shengbo Eben Li
Shengbo Eben Li Tsinghua University
David Whitney
David Whitney University of California, Berkeley
Stella X. Yu
Stella X. Yu University of Michigan–Ann Arbor
Yingfeng Cai
Yingfeng Cai Tongji University
Aaron Steinfeld
Aaron Steinfeld Carnegie Mellon University

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