Wanlin Liang

Papers

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About

Wanlin Liang is a researcher specializing in indoor localization, robotics navigation, and sensor fusion, with a particular focus on the innovative application of Visible Light Positioning (VLP) technology. Their work addresses critical limitations in existing indoor navigation systems — such as the need for dense LED distributions and uninterrupted line-of-sight connections — by developing hybrid approaches that combine VLP with complementary sensing modalities. Liang's most influential contribution, "Robot Localization and Navigation Using Visible Light Positioning and SLAM Fusion" (2021, 63 citations), demonstrated how VLP and simultaneous localization and mapping (SLAM) could be integrated to achieve robust indoor navigation using existing lighting infrastructure. Building on this foundation, their 2022 work introducing VWR-SLAM (32 citations) advanced the field further by tightly coupling VLP landmarks, wheel odometry, and RGB-D cameras into a unified system that eliminates the burden of manual LED map surveying. Additional research fusing VLP with LiDAR achieved remarkable centimeter-level positioning accuracy of just 2.5cm, underscoring the practical precision of their methods. Collectively, Liang's research has accumulated nearly 100 citations, establishing them as a meaningful contributor to the growing field of intelligent indoor navigation and light-based positioning systems.