Lance Fang

Papers

Total Citations

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About

Dr. Lance Fang is a leading researcher in autonomous robotic perception, with a primary focus on simultaneous localisation and mapping (SLAM) and depth-imaging sensor technology. His seminal work, "Comparative evaluation of time-of-flight depth-imaging sensors for mapping and SLAM applications" (2016), systematically benchmarks the performance of various depth sensors for use in small unmanned aircraft systems and ground robots. This study provides critical guidance for selecting appropriate sensors in real-world SLAM implementations, directly influencing the design of robust autonomy pipelines. With over 5 citations, this paper has become a foundational reference for engineers and researchers developing perception systems for unmanned platforms. Dr. Fang’s contributions bridge the gap between sensor hardware characterisation and algorithmic deployment, enabling more reliable navigation in GPS-denied or cluttered environments. His work is particularly valued for its practical, data-driven approach to sensor evaluation, which has helped standardise testing methodologies in the field. By advancing the understanding of sensor limitations and strengths, Dr. Fang continues to shape the trajectory of autonomous mapping and robotic exploration.