Yunjie Tan

Chongqing University of Posts and Telecommunications

Papers

Total Citations

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About

Yunjie Tan is a researcher in mobile robotics, with a primary focus on simultaneous localization and mapping (SLAM) and multi-sensor fusion. Their most notable contribution addresses a fundamental limitation in autonomous navigation: the inadequacy of single-sensor SLAM systems. Tan’s 2022 paper, "SLAM of Mobile Robot Based on the Joint Optimization of LiDAR and Camera," proposes a novel framework that integrates 2D LiDAR and visual data to overcome the structural incompleteness of LiDAR-only maps and the low localization accuracy of camera-only systems. By jointly optimizing these complementary sensors, Tan’s work enables more robust and comprehensive environmental perception for intelligent robots. With 5 citations, this paper has already garnered attention in the field, signaling its relevance to researchers tackling real-world deployment challenges. Tan’s research is particularly valuable for applications requiring precise navigation in complex environments, such as autonomous vehicles and service robots. Their work exemplifies the growing trend toward sensor fusion in robotics, offering a practical solution that balances computational efficiency with mapping fidelity. For students and researchers exploring SLAM, Tan’s contributions provide a clear pathway to understanding how multi-modal data can enhance robotic autonomy.