Luchi Hua

Papers

Total Citations

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About

Luchi Hua is a leading researcher in indoor positioning systems, with a primary focus on visible light positioning (VLP) and sensor fusion technologies. Their work addresses the critical challenge of achieving high-accuracy localization in environments where GPS is unavailable, such as indoor spaces for pedestrians, robots, and autonomous vehicles. Hua’s most influential contribution is the development of RSS-based visible light positioning using nonlinear optimization, a paper that has garnered 71 citations for its novel approach to overcoming signal interference and improving accuracy. This work has become a cornerstone for researchers seeking robust, low-cost indoor navigation solutions. Additionally, Hua has pioneered deep learning-based fusion of VLP and IMU sensors, integrating inertial measurement units with optical signals to enhance reliability in dynamic settings. With a growing citation impact, Hua’s research bridges theoretical optimization and practical deployment, offering scalable solutions for smart buildings, industrial automation, and assistive technologies. Their achievements highlight a commitment to advancing real-world positioning systems, making them a key figure in the evolution of indoor location-based services.