Yuanfa Ji

Guilin University of Electronic Technology, Beijing Satellite Navigation Center

Papers

Total Citations

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About

Yuanfa Ji is a researcher focused on advancing intelligent robotics and computer vision, with key contributions in mobile robot path planning, object tracking, and visual simultaneous localization and mapping (SLAM). His work on the "Implementation of IMRRT Path Planning Algorithm for Mobile Robot" (2022, 4 citations) addresses critical limitations of the standard RRT algorithm—namely, its randomness and low search efficiency—by proposing an improved variant that enhances path quality and convergence speed, offering practical benefits for autonomous navigation. In "Correlation Filter-based Object Tracking Algorithms" (2020, 3 citations), Ji explores robust discriminant tracking methods, emphasizing their high efficiency and resilience in applications like traffic monitoring and robotics. More recently, his "Dynamic Visual SLAM Algorithm Combined with YOLO" (2025, 1 citation) integrates deep learning-based object detection to handle dynamic environments, a notable step toward more reliable SLAM in real-world scenarios. Though early in his career, Ji’s work demonstrates a clear trajectory toward solving core challenges in autonomous systems, with his path planning research laying groundwork for safer, more efficient robot motion. His growing citation impact signals rising recognition among peers in robotics and computer vision communities.