Qiyue Xia

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About

Qiyue Xia is an emerging researcher specializing in indoor positioning systems, multimodal localization, and crowdsourced sensing technologies. Their work addresses one of the most persistent challenges in location-based services: achieving accurate, scalable indoor positioning without relying on traditional infrastructure dependencies. Xia's most notable contribution, "Multimodal Indoor Localization Using Crowdsourced Radio Maps" (2024), tackles the critical limitation of floor plan dependency in conventional Indoor Positioning Systems (IPS), proposing innovative approaches that leverage crowdsourced radio maps to enhance localization accuracy and real-world applicability. By integrating multiple data modalities — including odometry and WiFi signals — without requiring up-to-date building floor plans, Xia's research significantly broadens the practical deployability of indoor navigation solutions across diverse environments. Although at an early stage of citation accumulation with 2 citations, this work represents a timely and relevant contribution to a field increasingly important for smart buildings, emergency response, and retail analytics. Xia's research trajectory suggests a promising focus on democratizing indoor localization technology, making it more accessible, adaptive, and infrastructure-independent — a challenge of growing importance as demand for seamless indoor navigation continues to expand globally.