Papers
3
Total Citations
50
H-Index
3
About
Chung-Wei Lin is a leading researcher at the intersection of connected autonomous vehicles (CAVs) and cyber-physical systems, with a focus on solving the complex challenges of human-robot cooperation. His work addresses critical safety and efficiency problems in autonomous driving, particularly at road intersections and during lane-changing maneuvers. Lin’s most cited paper, "Human-Robot Cooperation for Autonomous Vehicles and Human Drivers: Challenges and Solutions" (2021, 35 citations), provides a comprehensive framework for integrating human drivers with automated systems to enhance road safety and traffic throughput. He further advanced the field with his work on "Intelligent and Connected Cyber-Physical Systems: A Perspective from Connected Autonomous Vehicles" (2020, 10 citations), which explores the broader implications of connectivity in autonomous systems. Notably, his research on "Trajectory Prediction at Unsignalized Intersections using Social Conditional Generative Adversarial Network" (2021, 5 citations) introduces a novel approach to predicting the behavior of surrounding objects, enabling proactive and defensive driving. Lin’s contributions are pivotal in bridging the gap between human drivers and autonomous systems, making him a key figure in the development of safer, more efficient transportation technologies.
Research Focus
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