Technological Challenges In the Development of AHS. - Ching-Yao Chan; Bakhtiar Litkouhi (J. Intell. Transp. Syst., 1998)

Characterization of magnetic tape and magnetic markers as a position sensing system for vehicle guidance and control. - Ching-Yao Chan; Bénédicte Bougler; David Nelson; Paul Kretz; Han-Shue Tan; Wei-Bin Zhang (ACC, 2000)

Design of steering controller and analysis of vehicle lateral dynamics under impulsive disturbances. - Han-Shue Tan; Ching-Yao Chan (ACC, 2000)

Feasibility analysis of steering control as a driver-assistance function in collision situations. - Ching-Yao Chan; Han-Shue Tan (IEEE Trans. Intell. Transp. Syst., 2001)

A new maneuvering target tracking algorithm with input estimation. - Kun Zhou; Xiqin Wang; Masayoshi Tomizuka; Wei-Bin Zhang; Ching-Yao Chan (ACC, 2002)

Magnetic sensing as a position reference system for ground vehicle control. - Ching-Yao Chan (IEEE Trans. Instrum. Meas., 2002)

On the detection of vehicular crashes-system characteristics and architecture. - Ching-Yao Chan (IEEE Trans. Veh. Technol., 2002)

Characterization of Driving Behaviors Based on Field Observation of Intersection Left-Turn Across-Path Scenarios. - Ching-Yao Chan (IEEE Trans. Intell. Transp. Syst., 2006)

Trends in Crash Detection and Occupant Restraint Technology. - Ching-Yao Chan (Proc. IEEE, 2007)

Experimental design and evaluation of Networked Traveler field tests of safety applications in California. - Ching-Yao Chan; Christian Manasseh; Shahram Rezaei (Intelligent Vehicles Symposium, 2010)

BSM Emulator - advanced vehicle safety application testbed. - Somak Datta Gupta; Chih-Che Lin; Ching-Yao Chan (ITSC, 2012)

A traffic speed enforcement system for high speed environment based on Dedicated Short-Range Communications (DSRC) technology. - Kuan-Lin Chiu; Chih-Che Lin; Somak Datta Gupta; Ching-Yao Chan (ITSC, 2013)

Model the vibrations of rack-mounted on-vehicle devices by underdamped oscillations. - Yi-Ta Chuang; Chih-Wei Yi; Tsung-Hsiang Wu; Ching-Yao Chan (ITSC, 2014)

Autonomous lane-change controller via mixed logical dynamical. - Yaoqiong Du; Yizhou Wang 002; Ching-Yao Chan (ITSC, 2014)

A preliminary study on SPC-crowd pavement indexing. - Tsung-Hsiang Wu; Chih-Wei Yi; Ching-Yao Chan; Ya-Lan Chang; Chien-Chao Tseng; Chun-Fu Chung (APNOMS, 2015)

Autonomous lane-change controller. - Yaoqiong Du; Yizhou Wang 002; Ching-Yao Chan (Intelligent Vehicles Symposium, 2015)

A non-conservatively defensive strategy for urban autonomous driving. - Wei Zhan; Changliu Liu; Ching-Yao Chan; Masayoshi Tomizuka (ITSC, 2016)

A Link Reliability Model of Metropolitan VANETs for Data Dissemination. - Tong Zhao 001; Yuan Yuan; Yichun Duan; Wei Yan 007; Ching-Yao Chan (VTC Fall, 2016)

A New e-Bus System Using Two-Way Government Radio Networks. - Shu-Hui Lin; Chung-Yu Chen; Eric Hsiao-Kuang Wu; Ching-Yao Chan; Emery Jou (IEEE Intell. Transp. Syst. Mag., 2016)

A Reliable Fusion Methodology for Simultaneous Estimation of Vehicle Sideslip and Yaw Angles. - Xu Li 004; Ching-Yao Chan; Yu Wang (IEEE Trans. Veh. Technol., 2016)

Formulation of deep reinforcement learning architecture toward autonomous driving for on-ramp merge. - Pin Wang; Ching-Yao Chan (ITSC, 2017)

DSRC-based end of queue warning system. - Yang Liu; Wei-Bin Zhang; Zhong-li Wang; Ching-Yao Chan (Intelligent Vehicles Symposium, 2017)

Spatially-partitioned environmental representation and planning architecture for on-road autonomous driving. - Wei Zhan; Jianyu Chen; Ching-Yao Chan; Changliu Liu; Masayoshi Tomizuka (Intelligent Vehicles Symposium, 2017)

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 004; Ching-Yao Chan (Sensors, 2017)

Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks. - Long Xin; Pin Wang; Ching-Yao Chan; Jianyu Chen; Shengbo Eben Li; Bo Cheng 003 (ITSC, 2018)

Research on Intelligent Merging Decision-making of Unmanned Vehicles Based on Reinforcement Learning. - Xuemei Chen; Qiang Zhang; Zhen-hua Zhang; Ge-meng Liu; Jianwei Gong; Ching-Yao Chan (Intelligent Vehicles Symposium, 2018)

A Reinforcement Learning Based Approach for Automated Lane Change Maneuvers. - Pin Wang; Ching-Yao Chan; Arnaud de La Fortelle (Intelligent Vehicles Symposium, 2018)

Probabilistic Prediction from Planning Perspective: Problem Formulation, Representation Simplification and Evaluation Metric. - Wei Zhan; Arnaud de La Fortelle; Yi-Ting Chen 001; Ching-Yao Chan; Masayoshi Tomizuka (Intelligent Vehicles Symposium, 2018)

Maneuver Control based on Reinforcement Learning for Automated Vehicles in An Interactive Environment. - Pin Wang; Ching-Yao Chan; Hanhan Li (CoRR, 2018)

Autonomous Ramp Merge Maneuver Based on Reinforcement Learning with Continuous Action Space. - Pin Wang; Ching-Yao Chan (CoRR, 2018)

Enhancing Localization Accuracy of MEMS-INS/GPS/In-Vehicle Sensors Integration During GPS Outages. - Qimin Xu; Xu Li 004; Ching-Yao Chan (IEEE Trans. Instrum. Meas., 2018)

A Deep Reinforcement Learning-Based Approach to Intelligent Powertrain Control for Automated Vehicles. - I-Ming Chen; Cong Zhao; Ching-Yao Chan (ITSC, 2019)

A Reinforcement Learning Approach for Intelligent Traffic Signal Control at Urban Intersections. - Mengyu Guo; Pin Wang; Ching-Yao Chan; Sid Askary (ITSC, 2019)

Evolutionary Learning in Decision Making for Tactical Lane Changing. - Tingting Li; Jianping Wu; Ching-Yao Chan (ITSC, 2019)

Driving Decision and Control for Automated Lane Change Behavior based on Deep Reinforcement Learning. - Tianyu Shi; Pin Wang; Xuxin Cheng; Ching-Yao Chan; Ding Huang (ITSC, 2019)

Accelerated Inverse Reinforcement Learning with Randomly Pre-sampled Policies for Autonomous Driving Reward Design. - Long Xin; Shengbo Eben Li; Pin Wang; Wenhan Cao; Bingbing Nie; Ching-Yao Chan; Bo Cheng 003 (ITSC, 2019)

Behavior Planning of Autonomous Cars with Social Perception. - Liting Sun; Wei Zhan; Ching-Yao Chan; Masayoshi Tomizuka (IV, 2019)

Continuous Control for Automated Lane Change Behavior Based on Deep Deterministic Policy Gradient Algorithm. - Pin Wang; Hanhan Li; Ching-Yao Chan (IV, 2019)

A Data Driven Method of Feedforward Compensator Optimization for Autonomous Vehicle Control. - Pin Wang; Tianyu Shi; Chonghao Zou; Long Xin; Ching-Yao Chan (IV, 2019)

Dynamic Bayesian Network Approach to Evaluate Vehicle Driving Risk Based on On-Road Experiment Driving Data. - Yanli Ma; Shouming Qi; Luyang Fan; Weixin Lu; Ching-Yao Chan; Yaping Zhang (IEEE Access, 2019)

A Data Driven Method of Optimizing Feedforward Compensator for Autonomous Vehicle. - Tianyu Shi; Pin Wang; Ching-Yao Chan; Chonghao Zou (CoRR, 2019)

Driving Decision and Control for Autonomous Lane Change based on Deep Reinforcement Learning. - Tianyu Shi; Pin Wang; Xuxin Cheng; Ching-Yao Chan (CoRR, 2019)

Adversarial Inverse Reinforcement Learning for Decision Making in Autonomous Driving. - Pin Wang; Dapeng Liu; Jiayu Chen; Ching-Yao Chan (CoRR, 2019)

Quadratic Q-network for Learning Continuous Control for Autonomous Vehicles. - Pin Wang; Hanhan Li; Ching-Yao Chan (CoRR, 2019)

Multi-sensor fusion methodology for enhanced land vehicle positioning. - Xu Li 004; Wei Chen 063; Ching-Yao Chan; Bin Li; Xianghui Song (Inf. Fusion, 2019)

Scene Novelty Prediction from Unsupervised Discriminative Feature Learning. - Arian Ranjbar; Chun-Hsiao Yeh; Sascha Hornauer; Stella X. Yu; Ching-Yao Chan (ITSC, 2020)

Application Specific System Identification for Model-Based Control in Self-Driving Cars. - Julian M. Salt Ducaju; Chen Tang 001; Masayoshi Tomizuka; Ching-Yao Chan (IV, 2020)

Learning Representations for Multi-Vehicle Spatiotemporal Interactions with Semi-Stochastic Potential Fields. - Wenshuo Wang 001; Chengyuan Zhang 002; Pin Wang; Ching-Yao Chan (IV, 2020)

Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning. - Fei Ye; Xuxin Cheng; Pin Wang; Ching-Yao Chan; Jiucai Zhang (IV, 2020)

A Cooperative Lane Change Model for Connected and Automated Vehicles. - Tingting Li; Jianping Wu; Ching-Yao Chan; Mingyu Liu; Chunli Zhu; Weixin Lu; Kezhen Hu (IEEE Access, 2020)

A Novel Graph based Trajectory Predictor with Pseudo Oracle. - Biao Yang; Guocheng Yan; Pin Wang; Ching-Yao Chan; Xiaofeng Liu 006; Yang Chen 019 (CoRR, 2020)

TPPO: A Novel Trajectory Predictor with Pseudo Oracle. - Biao Yang; Guocheng Yan; Pin Wang; Ching-Yao Chan; Xiaofeng Liu 006; Yang Chen 019 (CoRR, 2020)

Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning. - Fei Ye; Xuxin Cheng; Pin Wang; Ching-Yao Chan (CoRR, 2020)

Acceptance of Full Driving Automation: Personally Owned and Shared-Use Concepts. - Sanaz Motamedi; Pei Wang 015; Tingting Zhang; Ching-Yao Chan (Hum. Factors, 2020)

Introduction to the Special Section on Connected and Autonomous Vehicles: Technologies, Methodologies, and Applications. - Jiajia Liu 001; Huei-Ru Tseng; Ching-Yao Chan (IEEE Trans. Veh. Technol., 2020)

A Posture Features Based Pedestrian Trajectory Prediction with LSTM. - I-Hsi Kao; Xiao Zhou; I-Ming Chen; Pin Wang; Ching-Yao Chan (ICCE-TW, 2021)

Meta-Adversarial Inverse Reinforcement Learning for Decision-making Tasks. - Pin Wang; Hanhan Li; Ching-Yao Chan (ICRA, 2021)

Decision Making for Autonomous Driving via Augmented Adversarial Inverse Reinforcement Learning. - Pin Wang; Dapeng Liu; Jiayu Chen; Hanhan Li; Ching-Yao Chan (ICRA, 2021)

Meta Reinforcement Learning-Based Lane Change Strategy for Autonomous Vehicles. - Fei Ye; Pin Wang; Ching-Yao Chan; Jiucai Zhang (IV, 2021)

A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles. - Fei Ye; Shen Zhang; Pin Wang; Ching-Yao Chan (IV, 2021)

Imitative Learning for Multi-Person Action Forecasting. - Yu-Ke Li; Pin Wang; Mang Ye; Ching-Yao Chan (ACM Multimedia, 2021)

Visualization Analysis of Intelligent Vehicles Research Field Based on Mapping Knowledge Domain. - Yi He; Shuo Yang; Ching-Yao Chan; Long Chen 005; Chaozhong Wu (IEEE Trans. Intell. Transp. Syst., 2021)

ELMA: Energy-Based Learning for Multi-Agent Activity Forecasting. - Yu-Ke Li; Pin Wang; Lixiong Chen; Zheng Wang 007; Ching-Yao Chan (AAAI, 2022)

Evaluate the Understandability of Information Display Board Signs Using a Driving Simulator Experiment. - Pei Wang; Tingting Zhang; Xiao Zhou; Sanaz Motamedi; Ching-Yao Chan (Int. J. Hum. Comput. Interact., 2022)

A Real-Time Prediction Model for Individual Vehicle Travel Time on an Undersaturated Signalized Arterial Roadway. - Lili Lu; Jian Wang 085; Yukou Wu; Xu Chen; Ching-Yao Chan (IEEE Intell. Transp. Syst. Mag., 2022)

Comparison of Eye and Face Features on Drowsiness Analysis. - I-Hsi Kao; Ching-Yao Chan (Sensors, 2022)

Bimodal Extended Kalman Filter-Based Pedestrian Trajectory Prediction. - Chien-Yu Lin; Lih-Jen Kau; Ching-Yao Chan (Sensors, 2022)

Prediction of Pedestrian Crossing Behavior Based on Surveillance Video. - Xiao Zhou 006; Hongyu Ren; Tingting Zhang; Xingang Mou; Yi He; Ching-Yao Chan (Sensors, 2022)

Impact of Posture and Social Features on Pedestrian Road-Crossing Trajectory Prediction. - I-Hsi Kao; Ching-Yao Chan (IEEE Trans. Instrum. Meas., 2022)

Crossing or Not? Context-Based Recognition of Pedestrian Crossing Intention in the Urban Environment. - Biao Yang; Weiqin Zhan; Pin Wang; Ching-Yao Chan; Yingfeng Cai; Nan Wang 013 (IEEE Trans. Intell. Transp. Syst., 2022)

A Novel Direct Trajectory Planning Approach Based on Generative Adversarial Networks and Rapidly-Exploring Random Tree. - Cong Zhao; Yifan Zhu; Yuchuan Du; Feixiong Liao; Ching-Yao Chan (IEEE Trans. Intell. Transp. Syst., 2022)

Safety Monitoring of Neural Networks Using Unsupervised Feature Learning and Novelty Estimation. - Arian Ranjbar; Sascha Hornauer; Jonas Fredriksson; Stella X. Yu; Ching-Yao Chan (IEEE Trans. Intell. Veh., 2022)

A Novel Graph-Based Trajectory Predictor With Pseudo-Oracle. - Biao Yang; Guocheng Yan; Pin Wang; Ching-Yao Chan; Xiang Song 004; Yang Chen 019 (IEEE Trans. Neural Networks Learn. Syst., 2022)

WUT-NGSIM: A High-precision and Trustworthy Vehicle Trajectory Dataset. - Yi He; Bo Cao; Ching-Yao Chan (IEEE DataPort, 2022)

Analysis of Pedestrians Intention Prediction Based on Gradient-weighted Class Activation Mapping. - I-Hsi Kao; Ching-Yao Chan (ICCE-Taiwan, 2023)

RESTEP Into the Future: Relational Spatio-Temporal Learning for Multi-Person Action Forecasting. - Yuke Li; Pin Wang; Ching-Yao Chan (IEEE Trans. Multim., 2023)

Learning Socio-Temporal Graphs for Multi-Agent Trajectory Prediction. - Yuke Li; Lixiong Chen; Guangyi Chen 002; Ching-Yao Chan; Kun Zhang 001; Stefano Anzellotti; Donglai Wei 001 (HCMA@MM, 2024)

Genetic Multi-Agent Reinforcement Learning for Multiple Double-Sided STAR-RISs in Full-Duplex MIMO Networks. - Yu-Ting Li; Li-Hsiang Shen; Kai-Ten Feng; Ching-Yao Chan (ICC, 2024)

Federated Reinforcement Learning for Multi-Dual-STAR-RIS Assisted DFRC-Enabled Multi-BS in ISAC Systems. - Po-Chen Wu; Li-Hsiang Shen; Kai-Ten Feng; Ching-Yao Chan (ICC, 2024)

TPPO: A Novel Trajectory Predictor With Pseudo Oracle. - Biao Yang; Caizhen He; Pin Wang; Ching-Yao Chan; Xiaofeng Liu 006; Yang Chen 019 (IEEE Trans. Syst. Man Cybern. Syst., 2024)