Fanxiao Yi

Beijing Jiaotong University, National University of Defense Technology

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About

Fanxiao Yi is a researcher focused on advancing visual navigation and mapping for mobile robots and autonomous systems. Their work centers on planar region detection, ego-motion estimation, and the construction of topological and semantic navigation maps—critical components for enabling robots like drones and unmanned cars to operate reliably in complex, unknown environments. Yi’s foundational paper, "Reviews on Planar Region Detection for Visual Navigation of Mobile Robot under Unknown Environment" (2011), has garnered 4 citations and established a basis for understanding how planar features can guide robot movement. Subsequent contributions, including "Planar region alignment based ego-motion estimation for mobile robot" (2012, 2 citations), improved motion estimation accuracy under constrained camera-robot configurations. More recently, Yi has tackled modern challenges in autonomous driving with works like "Construction of Topological Navigation Map Based on Model Fusion" (2023, 2 citations) and "A Method for Constructing Semantic Navigation Maps in Urban Environments" (2023, 1 citation), addressing the difficulty of creating trajectory and semantic maps for planning and navigation. These efforts highlight Yi’s ongoing impact on mapping and localization technologies essential for next-generation unmanned systems.