Lilve Fan

Papers

Total Citations

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About

Dr. Lilve Fan is a robotics researcher whose work centers on advancing autonomous navigation, with a particular focus on localization and mapping in challenging indoor environments. Her most cited paper, "An Improved VSLAM for Mobile Robot Localization in Corridor Environment" (2022), addresses a critical limitation of laser-based SLAM systems: their difficulty in handling the sparse, repetitive features of corridors. By enhancing visual SLAM (VSLAM) algorithms, Dr. Fan’s work improves robot localization accuracy and robustness in such settings, directly supporting safer and more reliable autonomous movement. Although her citation count is currently modest, her contribution is notable for tackling a practical, real-world bottleneck in mobile robotics. This work demonstrates her ability to identify and solve specific engineering challenges that bridge the gap between theoretical SLAM methods and operational deployment. For students and researchers, Dr. Fan’s research offers a clear example of how incremental, problem-driven improvements in sensor fusion and algorithm design can yield meaningful advances in field robotics.