Xiaohong Yin
Papers
1
Total Citations
7
H-Index
1
About
Dr. Xiaohong Yin has made focused contributions to the field of simultaneous localization and mapping (SLAM), with a particular emphasis on solving the critical challenge of data association. Her research addresses a fundamental bottleneck in SLAM systems: ensuring robust and accurate matching between sensor observations and map features, where failures can lead to catastrophic divergence. In her most cited work, "Two Measures for Enhancing Data Association Performance in SLAM" (2014), Dr. Yin proposed innovative approaches to improve how sensor information is processed and utilized, directly targeting the reliability of data association methods. This work has garnered 7 citations, reflecting its relevance to researchers working on the practical deployment of SLAM in complex environments. By systematically addressing both the algorithmic and sensor-level factors that influence association quality, Dr. Yin’s research contributes to the development of more resilient autonomous navigation systems. Her work is particularly valuable for students and engineers seeking to understand and mitigate one of the most persistent failure modes in real-world SLAM applications.
Research Focus
Key Achievements
Top Papers
- 1Two Measures for Enhancing Data Association Performance in SLAM7 citations · 2014