Yuhui Qi

Papers

Total Citations

H-Index

About

Yuhui Qi is a researcher specializing in robotics perception and autonomous navigation, with a particular focus on LiDAR-based simultaneous localization and mapping (SLAM). Their most cited work, "Trajectory Optimization of LiDAR SLAM Based on Local Pose Graph" (2019), has garnered 13 citations and addresses a critical challenge in mobile robotics: improving the accuracy and robustness of trajectory estimation in real-time SLAM systems. By introducing a local pose graph optimization framework, Qi’s contribution enhances the consistency of LiDAR odometry, particularly in environments prone to drift or sensor noise. This work is foundational for applications in autonomous driving, drone navigation, and field robotics, where reliable state estimation is paramount. Qi’s research bridges the gap between theoretical optimization techniques and practical deployment, offering a scalable solution for resource-constrained platforms. Their work continues to influence the development of lightweight, high-precision SLAM algorithms, making them a notable figure in the growing field of spatial intelligence for autonomous systems.