Zhuoqun Dai
Papers
1
Total Citations
1
H-Index
1
About
Zhuoqun Dai is a rising researcher in the field of optical sensing and autonomous systems, with a primary focus on LiDAR (Light Detection and Ranging) technology. His work addresses a critical gap in the industry: the lack of standardized requirements for LiDAR angular resolution, which is essential for accurate target detection in applications ranging from autonomous driving to robotics and environmental monitoring. In his 2024 paper, "Investigation of angular resolution requirements for LiDAR systems," Dai systematically analyzes how varying resolution parameters impact the system's ability to identify and distinguish objects, providing foundational guidelines for future sensor design and performance benchmarking. While his citation count is currently modest, this work represents a timely contribution to an evolving field, offering practical insights for engineers and researchers striving to enhance the reliability of perception systems. Dai’s research is particularly valuable for students and professionals seeking to understand the trade-offs between resolution, cost, and detection accuracy in real-world LiDAR deployments.
Research Focus
Key Achievements
Top Papers
- 1Investigation of angular resolution requirements for LiDAR systems1 citations · 2024