Ching-Yao Chan
Orcid: 0000-0003-3992-2312
According to our database1,
Ching-Yao Chan
authored at least 78 papers
between 1998 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Syst. Man Cybern. Syst., May, 2024
2023
RESTEP Into the Future: Relational Spatio-Temporal Learning for Multi-Person Action Forecasting.
IEEE Trans. Multim., 2023
Analysis of Pedestrians Intention Prediction Based on Gradient-weighted Class Activation Mapping.
Proceedings of the International Conference on Consumer Electronics - Taiwan, 2023
2022
Dataset, December, 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Safety Monitoring of Neural Networks Using Unsupervised Feature Learning and Novelty Estimation.
IEEE Trans. Intell. Veh., 2022
A Novel Direct Trajectory Planning Approach Based on Generative Adversarial Networks and Rapidly-Exploring Random Tree.
IEEE Trans. Intell. Transp. Syst., 2022
Crossing or Not? Context-Based Recognition of Pedestrian Crossing Intention in the Urban Environment.
IEEE Trans. Intell. Transp. Syst., 2022
Impact of Posture and Social Features on Pedestrian Road-Crossing Trajectory Prediction.
IEEE Trans. Instrum. Meas., 2022
Sensors, 2022
A Real-Time Prediction Model for Individual Vehicle Travel Time on an Undersaturated Signalized Arterial Roadway.
IEEE Intell. Transp. Syst. Mag., 2022
Evaluate the Understandability of Information Display Board Signs Using a Driving Simulator Experiment.
Int. J. Hum. Comput. Interact., 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Visualization Analysis of Intelligent Vehicles Research Field Based on Mapping Knowledge Domain.
IEEE Trans. Intell. Transp. Syst., 2021
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021
Decision Making for Autonomous Driving via Augmented Adversarial Inverse Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the IEEE International Conference on Consumer Electronics-Taiwan, 2021
2020
Introduction to the Special Section on Connected and Autonomous Vehicles: Technologies, Methodologies, and Applications.
IEEE Trans. Veh. Technol., 2020
Hum. Factors, 2020
Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning.
CoRR, 2020
IEEE Access, 2020
Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
Learning Representations for Multi-Vehicle Spatiotemporal Interactions with Semi-Stochastic Potential Fields.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
Application Specific System Identification for Model-Based Control in Self-Driving Cars.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
2019
Inf. Fusion, 2019
CoRR, 2019
Adversarial Inverse Reinforcement Learning for Decision Making in Autonomous Driving.
CoRR, 2019
Driving Decision and Control for Autonomous Lane Change based on Deep Reinforcement Learning.
CoRR, 2019
CoRR, 2019
Dynamic Bayesian Network Approach to Evaluate Vehicle Driving Risk Based on On-Road Experiment Driving Data.
IEEE Access, 2019
A Data Driven Method of Feedforward Compensator Optimization for Autonomous Vehicle Control.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019
Continuous Control for Automated Lane Change Behavior Based on Deep Deterministic Policy Gradient Algorithm.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019
Accelerated Inverse Reinforcement Learning with Randomly Pre-sampled Policies for Autonomous Driving Reward Design.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Driving Decision and Control for Automated Lane Change Behavior based on Deep Reinforcement Learning.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
A Reinforcement Learning Approach for Intelligent Traffic Signal Control at Urban Intersections.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
A Deep Reinforcement Learning-Based Approach to Intelligent Powertrain Control for Automated Vehicles.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
2018
Enhancing Localization Accuracy of MEMS-INS/GPS/In-Vehicle Sensors Integration During GPS Outages.
IEEE Trans. Instrum. Meas., 2018
Autonomous Ramp Merge Maneuver Based on Reinforcement Learning with Continuous Action Space.
CoRR, 2018
Maneuver Control based on Reinforcement Learning for Automated Vehicles in An Interactive Environment.
CoRR, 2018
Probabilistic Prediction from Planning Perspective: Problem Formulation, Representation Simplification and Evaluation Metric.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018
Research on Intelligent Merging Decision-making of Unmanned Vehicles Based on Reinforcement Learning.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018
Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
2017
A Cost-Effective Vehicle Localization Solution Using an Interacting Multiple Model-Unscented Kalman Filters (IMM-UKF) Algorithm and Grey Neural Network.
Sensors, 2017
Spatially-partitioned environmental representation and planning architecture for on-road autonomous driving.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017
Formulation of deep reinforcement learning architecture toward autonomous driving for on-ramp merge.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017
2016
A Reliable Fusion Methodology for Simultaneous Estimation of Vehicle Sideslip and Yaw Angles.
IEEE Trans. Veh. Technol., 2016
IEEE Intell. Transp. Syst. Mag., 2016
Proceedings of the IEEE 84th Vehicular Technology Conference, 2016
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016
2015
Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015
Proceedings of the 17th Asia-Pacific Network Operations and Management Symposium, 2015
2014
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014
2013
A traffic speed enforcement system for high speed environment based on Dedicated Short-Range Communications (DSRC) technology.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013
2012
Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012
2010
Experimental design and evaluation of Networked Traveler field tests of safety applications in California.
Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2010
2007
2006
Characterization of Driving Behaviors Based on Field Observation of Intersection Left-Turn Across-Path Scenarios.
IEEE Trans. Intell. Transp. Syst., 2006
2002
IEEE Trans. Veh. Technol., 2002
IEEE Trans. Instrum. Meas., 2002
Proceedings of the American Control Conference, 2002
2001
Feasibility analysis of steering control as a driver-assistance function in collision situations.
IEEE Trans. Intell. Transp. Syst., 2001
2000
Design of steering controller and analysis of vehicle lateral dynamics under impulsive disturbances.
Proceedings of the American Control Conference, 2000
Characterization of magnetic tape and magnetic markers as a position sensing system for vehicle guidance and control.
Proceedings of the American Control Conference, 2000
1998