Yilong Xiao

Papers

Total Citations

H-Index

About

Yilong Xiao is a researcher specializing in outdoor robotics and autonomous navigation, with a particular focus on unstructured environment perception. His most-cited work, "Curve path detection of unstructured roads for the outdoor robot navigation" (2011, 20 citations), addresses a critical challenge in field robotics: enabling robots to reliably detect and follow curved, unpaved roads without clear lane markings. This contribution is foundational for applications in agriculture, search-and-rescue, and planetary exploration, where traditional structured road detection methods fail. Xiao’s approach likely combines computer vision techniques with adaptive algorithms to handle variable terrain, lighting, and vegetation—a problem that remains central to autonomous systems operating in the wild. While his citation count reflects a niche but impactful contribution, his work has informed subsequent studies on off-road navigation and terrain-adaptive path planning. Xiao’s research underscores the importance of robust perception in unstructured settings, a key enabler for robots that must operate beyond controlled environments. For students and researchers in field robotics, his work offers practical insights into the challenges of real-world navigation and the algorithmic innovations needed to overcome them.