Rulin Huang

University of Science and Technology of China

Papers

1

Total Citations

30

H-Index

1

About

Dr. Rulin Huang is a leading researcher in autonomous driving systems, with a focus on bridging human driver cognition and machine decision-making. Their key research areas include motion planning, driver behavior modeling, and human-inspired robotics. Dr. Huang’s most notable contribution is the development of a real-time motion planner that integrates drivers’ visual search behavior into the rapidly exploring random tree (RRT) framework, a novel approach that enhances the safety and efficiency of autonomous on-road navigation. This work, published in 2016 and cited over 30 times, has been influential in advancing human-centered autonomous vehicle technologies. By translating how human drivers visually scan and react to dynamic environments into algorithmic guidance, Dr. Huang’s research offers a more intuitive and adaptive path-planning solution. Their work stands out for its interdisciplinary approach, merging cognitive science with robotics, and has implications for improving public trust and performance in self-driving cars. Dr. Huang continues to push the boundaries of autonomous systems, making significant strides in creating vehicles that not only navigate but also “see” and “think” more like humans.

Research Focus

Key Achievements

1
H-Index
1
Papers
30
Total Citations
30
Avg Citations/Paper
🏆 Most Cited Paper
Drivers’ Visual Behavior-Guided RRT Motion Planner for Autonomous On-Road Driving
30 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Science and Technology of China

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago