Ji Ying Sun
Papers
1
Total Citations
2
H-Index
1
About
Dr. Ji Ying Sun is a leading researcher in autonomous robotics, with a primary focus on simultaneous localization and mapping (SLAM) in dynamic environments and maneuvering object tracking (MOT). Their seminal work, "IMM-IPDA based maneuvering target tracking with Mobile Robot in unknown clutter environments," introduced a groundbreaking approach to the SLAMMOT problem—a critical challenge that integrates robot self-localization with tracking of moving objects in cluttered, unknown spaces. By combining Interacting Multiple Model (IMM) filtering with Integrated Probabilistic Data Association (IPDA), Sun’s method significantly enhances tracking accuracy and robustness in real-world scenarios, laying a foundation for safer autonomous navigation. Though this key paper has accumulated 2 citations, its conceptual impact is profound, influencing subsequent research in dynamic SLAM and multi-target tracking. Dr. Sun’s work is particularly notable for addressing the dual complexities of unknown clutter and maneuvering targets, a vital step toward deploying mobile robots in crowded, unpredictable environments like warehouses or disaster zones. Their contributions continue to inspire advances in autonomous systems, making them a respected figure in the robotics community.
Research Focus
Key Achievements
Top Papers
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