Qingjiu Chen

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About

Qingjiu Chen is a leading researcher in advanced optical sensing and LiDAR technology, with a primary focus on developing high-performance light detection and ranging systems for autonomous navigation and robotics. His most significant contribution is the development of a high angular resolution 360° LiDAR based on scanning MEMS mirrors, a breakthrough that addresses critical challenges in autonomous driving by enabling compact, reliable, and wide-field-of-view sensing. This work, published in 2023, has already garnered 35 citations, reflecting its rapid impact on the field. Chen’s research bridges the gap between micro-electromechanical systems and practical LiDAR applications, offering a scalable solution for real-time 3D mapping in self-driving vehicles and unmanned aerial systems. His innovations are particularly notable for improving angular resolution without sacrificing scanning speed, a key trade-off in existing multichannel LiDAR designs. By advancing MEMS-based scanning mechanisms, Chen has contributed to making autonomous navigation safer and more efficient, positioning his work as a cornerstone for next-generation sensing platforms. His achievements underscore a commitment to translating cutting-edge optical engineering into tangible technologies for robotics and autonomous systems.