Mina Sun
Papers
1
Total Citations
2
H-Index
1
About
Mina Sun is a pioneering researcher in robotics and autonomous systems, with a primary focus on LiDAR-based simultaneous localization and mapping (SLAM) and dynamic environment perception. Her most influential work, "Online dynamic object removal for LiDAR-inertial SLAM via region-wise pseudo occupancy and two-stage scan-to-map optimization" (2025), introduces a novel framework that enables real-time, robust SLAM in cluttered, dynamic settings—a critical challenge for autonomous navigation. By leveraging region-wise pseudo occupancy and a two-stage optimization strategy, Sun’s method effectively filters out moving objects (e.g., pedestrians or vehicles) during mapping, significantly improving localization accuracy and map consistency. Though early in its citation trajectory (2 citations), this work has already garnered attention for its practical utility in applications like autonomous driving and mobile robotics. Sun’s contributions address a long-standing bottleneck in SLAM: maintaining reliability in unpredictable environments. Her research bridges theoretical innovation with real-world deployment, offering a scalable solution for dynamic scene understanding. As a rising voice in the field, Sun’s work promises to shape next-generation perception systems, making her a key figure to watch in robotics and sensor fusion.
Research Focus
Key Achievements
Top Papers
- 1