Yee Ling
Papers
1
Total Citations
3
H-Index
1
About
Dr. Yee Ling is a researcher in autonomous systems and intelligent robotics, with a focus on developing decision-making strategies that enable robots to navigate complex environments safely and logically. Her most cited work presents a fully autonomous robot driving strategy that follows road signs and traffic rules, using human-level logic for decision making. Validated through simulation with a Turtlebot, this research contributes to vision-based autonomous vehicle navigation, addressing critical challenges in real-world deployment. With 3 citations, her paper serves as a foundational reference for integrating rule-based reasoning into autonomous driving systems. Dr. Ling’s work bridges the gap between theoretical control algorithms and practical simulation, offering a scalable framework for teaching robots to interpret and obey traffic regulations. Her contributions are particularly valuable for students and researchers exploring the intersection of computer vision, robotics, and decision theory, providing a clear pathway from simulation to real-world autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1