Huilin Yin
Papers
2
Total Citations
11
H-Index
2
About
Dr. Huilin Yin is a leading researcher in autonomous navigation and perception, specializing in robust state estimation for mobile robots and drones. Her work focuses on enhancing the accuracy and efficiency of simultaneous localization and mapping (SLAM) systems, particularly by integrating visual, inertial, and LiDAR sensors. Dr. Yin’s major contributions include the development of a **loosely coupled stereo visual-inertial navigation system (VINS) based on point-line features with feedback loops**, which balances high accuracy with superior real-time performance—a critical trade-off for dynamic environments. This work, published in 2024, has already garnered 9 citations, reflecting its immediate impact on the field. More recently, she has advanced **online dynamic object removal for LiDAR-inertial SLAM**, introducing a novel region-wise pseudo occupancy method and two-stage scan-to-map optimization to improve mapping fidelity in cluttered scenes. Her research directly addresses the challenge of operating in unpredictable, real-world settings, making her a key figure in the push toward fully autonomous systems. Dr. Yin’s innovative approaches are shaping next-generation navigation technologies for robotics and autonomous vehicles.
Research Focus
Key Achievements
Top Papers
- 1
- 2