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

3
H-Index
3
Papers
50
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Hardware-in-the-Loop Autonomous Driving Simulation Without Real-Time Constraints
36 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: The University of Western Australia, The University of Queensland

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago