Jiannan Dan

Jiangxi University of Science and Technology

Papers

Total Citations

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About

Jiannan Dan is a researcher in robotics and autonomous systems, with a primary focus on 3D LiDAR SLAM (Simultaneous Localization and Mapping) and loop closure detection. His work centers on improving the accuracy and robustness of real-time robot positioning and mapping, particularly addressing the drift and mapping errors that plague long-duration autonomous navigation. Dan’s most-cited paper, "Lidar SLAM algorithm based on bag of words loop detection" (2024), tackles the inherent limitations of the classic LOAM algorithm by integrating a bag-of-words approach for loop closure. This innovation enhances LeGO-LOAM’s ability to correct cumulative positioning drift, ensuring more reliable long-term operation. While his citation count is currently modest, his contribution is notable for its practical relevance to field robotics, where sustained accuracy is critical. Dan’s work bridges a key gap in LiDAR-based SLAM, offering a computationally efficient solution for real-time environments. As autonomous navigation continues to advance, his research provides a foundational step toward more resilient mapping systems, making him a promising voice in the SLAM community.