Yiyuan Pan

Papers

Total Citations

H-Index

About

Yiyuan Pan is a leading researcher in autonomous robotics, specializing in real-time dense mapping and traversability analysis for unstructured terrain. His work addresses a critical challenge in mobile robot navigation: generating high-fidelity, globally consistent elevation maps that enable safe motion planning in complex, off-road environments. Pan’s seminal paper, “GEM: Online Globally Consistent Dense Elevation Mapping for Unstructured Terrain” (2020, 31 citations), introduced a novel system that produces dense local elevation maps in constant real-time, a breakthrough for fast-responsive local planning on rugged terrain. Complementing this, his earlier work “GPU accelerated real-time traversability mapping” (2019, 24 citations) tackled the computational bottleneck of dense map construction on mobile robots by leveraging GPU acceleration, enabling detailed drivable region identification for effective navigation. Together, these contributions have established Pan as a key innovator in field robotics, with his methods directly impacting autonomous systems operating in agriculture, search-and-rescue, and planetary exploration. His focus on balancing computational efficiency with map consistency has set new standards for real-time perception in unstructured environments, making his research essential reading for engineers and scientists advancing autonomous navigation.