Panfei Cheng

Papers

Total Citations

H-Index

About

Panfei Cheng is a rising researcher in computer vision and robotics, whose work centers on simultaneous localization and mapping (SLAM) and 3D perception. His major contributions include advancing place recognition—a critical component for SLAM systems to correct cumulative errors by identifying previously visited locations. His comprehensive survey on 3D point cloud-based place recognition (2024) has already garnered 30 citations, establishing a foundational reference for the field. Cheng also developed PE-VINS, an accurate monocular visual-inertial SLAM system that integrates point-edge features, achieving enhanced robustness and accuracy over traditional point-only or point-line approaches. This work, with 7 citations, demonstrates his ability to push the boundaries of SLAM for autonomous driving and robotics applications. Notably, his research addresses the limitations of existing methods by leveraging richer geometric features, improving performance in challenging environments. As a young scholar, Cheng’s contributions are already shaping the trajectory of SLAM and 3D vision, making him a promising figure to watch in the field.