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About

Junxiang Lian is a researcher specializing in autonomous navigation, bio-inspired sensing, and multi-sensor fusion systems, with a particular focus on developing robust navigation solutions for robotics and ground vehicles in GNSS-denied environments. His most influential contributions center on polarization-based navigation, drawing inspiration from animals' remarkable ability to orient themselves using skylight polarization patterns. His landmark 2016 paper on the design and calibration of a camera-based bio-inspired polarization navigation sensor has garnered 91 citations, establishing him as a leading voice in this emerging field. Building on this foundation, Lian developed an integrated multi-sensor navigation system combining polarized skylight sensors, inertial measurement units, and monocular cameras for urban ground vehicles, earning 71 citations and demonstrating strong real-world applicability. His work on bionic orientation and polarization camera design further extended these concepts to visual enhancement applications, accumulating 39 citations. Complementing his polarization research, Lian has also contributed to visual-inertial odometry through multiple view geometry constraints. Collectively, his research bridges biological principles and engineering innovation, offering reliable, efficient navigation alternatives that continue to inspire robotics and autonomous systems researchers worldwide.