Kin Leong Ho

Oxford Research Group, University of Oxford

Papers

Total Citations

616

H-Index

About

Kin Leong Ho is a leading researcher in robotics and autonomous navigation, with a primary focus on Simultaneous Localization and Mapping (SLAM). His work has fundamentally advanced how robots perceive and navigate complex, unstructured environments. Ho’s most influential contribution is the development of a pioneering 3D SLAM system that fuses visual appearance data from cameras with geometric information from laser ranging. This approach, detailed in his highly cited 2006 paper (314 citations), enables robots to build dense, accurate 3D point-cloud maps of large-scale outdoor spaces, a critical step for autonomous field robotics. He further revolutionized the field by addressing the persistent challenge of loop closure detection—the ability for a robot to recognize when it has returned to a previously visited location. His 2007 paper (211 citations) introduced a method using scene sequences rather than single images, dramatically improving robustness. By combining visual and spatial appearance cues (91 citations), Ho’s work has provided a reliable framework for long-term autonomous operation, making him a key figure in modern SLAM research.