Shi-Sheng Huang
Papers
2
Total Citations
102
H-Index
2
About
Shi-Sheng Huang is a leading researcher in robotics and autonomous navigation, with a focus on developing robust, real-time localization systems for ground robots. His primary contributions lie in monocular visual-inertial SLAM (Simultaneous Localization and Mapping), where he has pioneered tightly coupled sensor fusion techniques that integrate cameras, inertial measurement units, and wheel odometry. In his highly cited 2019 work, "Tightly-Coupled Monocular Visual-Odometric SLAM Using Wheels and a MEMS Gyroscope" (70 citations), Huang introduced a probabilistic algorithm that dramatically improves long-term localization accuracy and robustness for ground robots by fusing visual data with wheel encoders and gyroscopes. His follow-up paper, "Accurate Monocular Visual-Inertial SLAM Using a Map-Assisted EKF Approach" (32 citations), advanced the field by enabling high-frame-rate motion tracking on standard CPUs, even under highly dynamic motion. Huang’s work is notable for its practical impact on real-world robotics, offering computationally efficient solutions that operate without expensive hardware. His research has become essential reading for engineers and researchers developing autonomous vehicles, drones, and mobile robots, bridging the gap between theoretical SLAM algorithms and deployable, real-time systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Accurate Monocular Visual-Inertial SLAM Using a Map-Assisted EKF Approach32 citations · 2019