Junjie Han

Papers

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About

Junjie Han is a leading researcher in navigation and positioning systems, with a focus on achieving seamless indoor-outdoor localization for autonomous vehicles and mobile robots. His most cited work, "An Indoor and Outdoor Seamless Positioning System for Low-Cost UGV Using PPP/INS/UWB Tightly Coupled Integration" (2023, 23 citations), addresses a critical challenge in robotics: maintaining accurate positioning across diverse environments. Han pioneered a tightly coupled integration of precise point positioning (PPP), inertial navigation systems (INS), and ultra-wideband (UWB) technology, enabling centimeter-level accuracy without reliance on external reference stations. This breakthrough allows low-cost unmanned ground vehicles (UGVs) to transition smoothly between indoor and outdoor settings, overcoming the limitations of GPS-denied environments. His contributions are vital for applications in logistics, autonomous driving, and disaster response, where reliable positioning is essential. Han’s work has garnered significant attention for its practical, cost-effective approach, and he continues to advance sensor fusion and real-time navigation algorithms. His research not only pushes the boundaries of ubiquitous positioning but also provides a scalable framework for next-generation autonomous systems.