Researcher Ching-Yao Chan

Researcher Biography
http://path.berkeley.edu/people/staff-directory/ching-yao-chan

Past Projects

Intention-aware Pedestrian Motion Modeling and Prediction
Driver Drowsiness Analysis Based on Multiple Facial Features
Representation Learning for Person Segmentation and Tracking
Vehicle Dynamic Estimation based on Image Sensor & Radar Fusion
Pedestrian Trajectory Prediction Combining Posture and Social Features
Infrastructure, Data, and Related Research
Uncertainty-Aware Reinforcement Learning for Interaction-Intensive Driving Tasks
Scene Understanding and Forecasting in Contextual Environment – From Pixel to Semantic
Agent Behavior Understanding in Crowds – Predicting Future Trajectories and Activities
Pixel-Level Confidence Prediction for Interpretable Network-Based Driving (ConfPix)
Deep Learning-Based Vehicle Control Strategist for Autonomous Vehicles
Life-Long Learning to Drive by Semi-Supervised Reinforcement Learning (SSRL)
Learning Human-Like Decision-making Behavior based on Adversarial Inverse Reinforcement Learning
Adaptive Traffic Signal Control based on Deep Reinforcement Learning
Public-Road Demonstration of the BDD/HCE Autonomous Driving Car
Interaction and Communication Between Pedestrians and Autonomous Vehicles
Maneuver Control based on Reinforcement Learning for Automated Vehicles in an Interactive Environment
Testing and Verification of Safe Network-­Based Driving Algorithms
Pedestrian-Vehicle Interaction – Data Sets and Analysis
Exploiting Environment and In-Vehicle Information from Multi-Sensors for Autonomous Driving Policy Adaption
Reinforcement Learning for Automated Driving – A Use Case of Ramp Merge Automation
Infrastructure and Data 2018