Haodong Xiang
Papers
1
Total Citations
15
H-Index
1
About
Haodong Xiang is a researcher whose work centers on advancing perception and sensor fusion for autonomous systems, with a particular focus on LiDAR-based technologies. His key contributions lie in developing robust calibration methods for multi-sensor setups, as demonstrated in his highly cited 2022 paper, "Automatic Extrinsic Calibration of Dual LiDARs With Adaptive Surface Normal Estimation." This work addresses a critical challenge in robotics and autonomous navigation: ensuring accurate alignment between multiple LiDAR scanners to produce reliable, integrated point cloud data. By introducing an adaptive surface normal estimation technique, Xiang's method enhances both the precision and automation of calibration, reducing the need for manual intervention. This contribution has immediate applications in mobile mapping, autonomous driving, and field robotics, where sensor accuracy is paramount. With 15 citations, this paper has already garnered attention from the research community, underscoring its practical value. Xiang's work exemplifies the kind of foundational engineering that enables more sophisticated autonomous systems, making him a notable emerging voice in the field of robotic perception and multi-modal sensor integration.
Research Focus
Key Achievements
Top Papers
- 1