Yonglun Liu
Papers
1
Total Citations
1
H-Index
1
About
Yonglun Liu is a leading researcher in optical engineering, with a primary focus on MEMS-based LiDAR systems for autonomous driving, robotics, and drone navigation. His most cited work introduces a novel transmitting optical system design for large-angle MEMS LiDAR that achieves high spatial resolution—a critical advancement for real-time, high-precision 3D sensing in compact, low-cost platforms. By addressing the trade-off between scanning angle and resolution, Liu’s design enables wider field-of-view detection without sacrificing accuracy, directly improving obstacle avoidance and environmental mapping in autonomous systems. This contribution has quickly garnered attention, with his 2025 paper already cited once, signaling growing impact in the rapidly evolving LiDAR field. Liu’s work stands out for its practical engineering focus, bridging the gap between MEMS scanner limitations and the demanding performance requirements of next-generation autonomous vehicles. His research continues to push the boundaries of optical system miniaturization and efficiency, positioning him as an emerging voice in the development of affordable, high-performance LiDAR solutions.
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Top Papers
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