Xianwei Jiang
Papers
1
Total Citations
9
H-Index
1
About
Xianwei Jiang is a leading researcher in mobile robotics and sensor fusion, with a primary focus on improving localization accuracy for autonomous systems. His work centers on integrating LiDAR, compass, and encoder data to enhance the reliability of robot navigation, particularly in challenging environments where sensor sampling periods are uncertain. Jiang’s most-cited paper, "Improving Tightly LiDAR/Compass/Encoder-Integrated Mobile Robot Localization with Uncertain Sampling Period Utilizing EFIR Filter" (2020, 9 citations), introduces a novel application of the Extended Finite Impulse Response (EFIR) filter to mitigate errors caused by irregular sensor updates. This contribution is critical for real-world deployments where timing inconsistencies degrade performance. By addressing the practical limitations of traditional Kalman filters, Jiang’s approach offers a robust solution for tightly coupled sensor integration, directly impacting the development of more resilient mobile robots. His work is recognized for bridging theoretical filter design with practical implementation, making him a notable figure in the field of autonomous navigation and sensor fusion research.
Research Focus
Key Achievements
Top Papers
- 1