Papers
3
Total Citations
50
H-Index
3
About
Kai Li Lim is a researcher specializing in autonomous vehicles and intelligent transportation systems, with particular expertise in simulation frameworks, high-level control architectures, and safety-critical system design. His work addresses some of the most pressing technical challenges in bringing autonomous driving technology to real-world deployment. Lim's most influential contribution, "Hardware-in-the-Loop Autonomous Driving Simulation Without Real-Time Constraints" (2019, 36 citations), has become a notable reference in the field, demonstrating how simulation environments can accelerate autonomous vehicle testing by faithfully emulating sensors such as cameras and LiDARs without the risks inherent in physical testing. This work reflects a pragmatic approach to validating complex systems safely and efficiently. His research further extends to the software reliability of autonomous platforms, exploring extensible control system frameworks that integrate sensor fusion, path planning, and safety responses. More recently, his work on modular system design for autonomous passenger shuttles in shared spaces highlights a growing focus on real-world deployment considerations and rigorous risk assessment. Collectively, Lim's contributions offer both foundational tools and practical architectures for researchers and engineers navigating the complex landscape of autonomous vehicle development, making his work valuable reading for students entering the field.
Research Focus
Key Achievements
Top Papers
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- 3Managing Risk in the Design of Modular Systems for an Autonomous Shuttle3 citations · 2024