Papers
2
Total Citations
83
H-Index
2
About
Xupeng Xie is a leading researcher in robotics and autonomous navigation, with a primary focus on simultaneous localization and mapping (SLAM) and multi-sensor fusion. His major contributions center on creating comprehensive benchmark datasets that push the boundaries of SLAM algorithm generalization across diverse platforms and environments. His seminal work, the FusionPortable dataset (2022, 50 citations), introduced a multi-sensor campus-scene benchmark that combines LiDAR, cameras, and IMUs to enhance robot perceptual awareness and robustness to external disturbances. Building on this, his FusionPortableV2 dataset (2024, 33 citations) addresses the critical challenge of SLAM generalization by providing a unified multi-sensor dataset scalable across various robotic platforms—from ground vehicles to drones—and environments ranging from indoor spaces to large-scale outdoor scenes. This work is instrumental in enabling more reliable autonomous navigation for applications like rescue operations and autonomous driving. Xie’s datasets have become essential resources for the robotics community, facilitating fair evaluation and advancement of SLAM algorithms. His research continues to drive progress toward truly generalizable and robust robotic perception systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2