Guangyu Jiao
Papers
1
Total Citations
2
H-Index
1
About
Guangyu Jiao is a researcher specializing in robotics, sensor fusion, and 3D mapping, with a particular focus on low-cost perception systems for indoor and constrained environments. His most notable contribution is the development of a robust model reconstruction algorithm for elevator shafts, published in 2023, which integrates low-cost vehicle LiDAR and inertial measurement units (IMUs) with loop closure detection using the Scan Context descriptor. This work addresses the challenge of accurate odometry in GPS-denied, feature-sparse spaces, enabling precise 3D map reconstruction—a critical step for autonomous navigation in vertical transportation systems. Although his citation count is currently modest (2 citations for this key paper), the work demonstrates practical innovation in fusing LiDAR-inertial odometry with place recognition, offering a scalable solution for infrastructure digitization. Jiao’s research bridges the gap between cost-effective hardware and advanced SLAM algorithms, making him a promising voice in the field of mobile robotics and mapping. His approach holds potential for broader applications in autonomous inspection, construction, and indoor robotics.
Research Focus
Key Achievements
Top Papers
- 1A Robust Model Reconstruction Algorithm For Elevator Shaft2 citations · 2023