Xianchao Xiu
Papers
1
Total Citations
11
H-Index
1
About
Xianchao Xiu is a leading researcher in navigation and multi-sensor fusion, with a focus on integrating LiDAR and inertial measurement units (IMUs) to enhance autonomous systems. His work addresses critical challenges in spatiotemporal calibration, improving the accuracy and reliability of environment modeling and localization for navigation systems. His highly cited 2022 paper, “A Spatiotemporal Calibration Algorithm for IMU–LiDAR Navigation System Based on Similarity of Motion Trajectories,” introduces a novel two-step method that aligns data from these disparate sensors, achieving robust performance in real-world conditions. With over 11 citations, this contribution underscores his impact on advancing sensor fusion techniques. Xiu’s research is pivotal for applications in robotics, autonomous vehicles, and precision navigation, where seamless integration of LiDAR and IMU data is essential. His innovative approach to trajectory-based calibration has set a benchmark in the field, demonstrating how motion similarity can resolve temporal and spatial misalignments. For students and researchers exploring sensor fusion, Xiu’s work offers foundational insights into achieving high-precision localization in dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1