Xiangcheng Hu
Papers
6
Total Citations
132
H-Index
5
About
Xiangcheng Hu is a leading researcher in robotics, specializing in multi-sensor fusion, simultaneous localization and mapping (SLAM), and pose estimation. His most impactful work centers on creating comprehensive benchmarks and datasets that push the boundaries of robotic navigation. Hu is the primary force behind the FusionPortable series, including the highly-cited FusionPortable (50 citations) and its successor, FusionPortableV2 (33 citations), which provide multi-sensor, campus-scale datasets for evaluating SLAM across diverse platforms and environments. These contributions are critical for developing generalized, robust SLAM algorithms. He has also made fundamental theoretical advances, such as globally optimal solutions for quadratic pose estimation problems (23 citations), and has addressed practical challenges with robust, equipment-free calibration of low-cost IMUs. Hu’s work on heterogeneous LiDAR datasets for benchmarking in degenerate scenarios further underscores his commitment to solving real-world robotic autonomy challenges. With a growing citation impact, his research is essential for students and engineers working to make robots more perceptive and reliable in complex, unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5Robust Equipment-Free Calibration of Low-Cost Inertial Measurement Units7 citations · 2023
- 6