Yuezhi Hu

Papers

Total Citations

H-Index

About

Yuezhi Hu’s research focuses on sensor fusion and extrinsic calibration for autonomous systems, particularly the integration of camera and 3D LIDAR data. Their most-cited work, “Registration of image and 3D LIDAR data from extrinsic calibration” (2015), addresses a foundational challenge in robotics and intelligent vehicles: accurately aligning visual and laser rangefinder data. The paper introduces a flexible calibration method that enables precise spatial registration between these sensors, a critical step for perception in autonomous navigation. With 5 citations, this contribution has supported advancements in mobile robotics and autonomous driving by providing a practical, accessible solution for sensor integration. Hu’s work underscores the importance of robust calibration in enabling reliable environmental sensing, a key enabler for real-world deployment of autonomous systems. Their research continues to influence engineers and researchers working on multi-modal perception, offering a streamlined approach to a traditionally complex problem.