Manjiang Hu
Papers
3
Total Citations
15
H-Index
3
About
Dr. Manjiang Hu is a leading researcher in autonomous vehicle perception and multi-sensor fusion, with a focus on robust calibration and localization for mobile robotics. His work addresses critical challenges in sensor integration, particularly for lightweight, low-cost systems used in autonomous driving and robotics. Dr. Hu’s major contributions include developing target-free self-calibration methods for stereo camera-GNSS/IMU systems, which eliminate the need for specialized calibration targets and enable accurate extrinsic calibration under real-world motion constraints. He has also advanced LiDAR odometry and mapping through the WiCRF2 framework, which incorporates motion observability features to improve localization accuracy in complex environments. Additionally, his improved LiDAR–camera calibration based on the hand–eye model addresses the practical limitations of 3-DoF robot motion, making calibration feasible for ground vehicles. With over 15 citations across his most-cited works from 2023, Dr. Hu’s research is already gaining recognition for its practical impact on autonomous navigation. His work is essential reading for students and engineers developing robust perception systems for self-driving cars and autonomous robots.
Research Focus
Key Achievements
Top Papers
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