Papers
13
Total Citations
340
H-Index
8
About
Xiaofeng He is a pioneering researcher in bio-inspired autonomous navigation, whose work sits at the intersection of robotics, computer vision, and biologically motivated sensing systems. He is best known for his groundbreaking contributions to polarization-based navigation, drawing inspiration from animals that exploit skylight polarization patterns for orientation. His seminal 2016 paper on camera-based polarization navigation sensors (91 citations) established a foundational framework for this approach, while subsequent work on integrated polarized skylight sensors with inertial and visual systems (71 citations) demonstrated its real-world applicability for urban ground vehicles. He has further advanced the field through multi-camera polarization systems and bionic multi-sensor fusion architectures for both unmanned ground vehicles and aerial platforms operating in GNSS-denied environments. Beyond polarization sensing, He has made notable contributions to visual place recognition using deep learning-based multiscale feature fusion and self-supervised depth and egomotion estimation. His research portfolio, accumulating over 330 citations, reflects a consistent commitment to enabling reliable, robust autonomous navigation across diverse and challenging environments — making his body of work essential reading for researchers in mobile robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 3Bionic Orientation and Visual Enhancement With a Novel Polarization Camera39 citations · 2017
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- 6Learning to Fuse Multiscale Features for Visual Place Recognition22 citations · 2018
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