Gary Sherwin

Papers

Total Citations

H-Index

About

Gary Sherwin is a leading researcher in autonomous navigation and unmanned ground vehicle (UGV) perception, with a particular focus on passive sensing technologies for military and off-road applications. His most-cited work, "Unmanned ground vehicle perception using thermal infrared cameras" (2011, 52 citations), addresses a critical challenge in defense robotics: enabling 24/7 autonomous operation without emitting detectable electromagnetic signals. Sherwin’s key contribution lies in demonstrating how thermal infrared cameras can replace active sensors like LiDAR for night-time and low-visibility off-road navigation, preserving stealth capabilities while maintaining robust perception. This research has shaped the development of passive-only UGV systems, influencing both military programs and broader autonomous vehicle design. By proving that thermal imaging alone can support real-time obstacle detection and terrain classification in unstructured environments, Sherwin has advanced the feasibility of silent, all-weather autonomous ground vehicles. His work remains a foundational reference for researchers exploring sensor fusion, thermal perception, and low-signature robotics, with ongoing impact on defense and field robotics.