Xiaoya Ye
Papers
1
Total Citations
7
H-Index
1
About
Xiaoya Ye is a robotics researcher whose work centers on advancing the accuracy and reliability of robotic mapping systems. Her most notable contribution, the 2019 paper "Towards Generation and Evaluation of Comprehensive Mapping Robot Datasets," introduces a fully hardware-synchronized mapping robot integrated with an external tracking system for ultra-precise timing and localization. By employing a professional static 3D scanner for ground truth map collection, Ye established a rigorous benchmark for evaluating mapping performance. This work has garnered 7 citations, reflecting its foundational role in dataset generation for mobile robotics. Ye’s research addresses critical challenges in sensor fusion and spatial perception, enabling more robust autonomous navigation. Her contributions are particularly valuable for students and researchers seeking to develop or validate SLAM algorithms, as her datasets provide a gold standard for comparing mapping accuracy. Through her meticulous approach to hardware synchronization and ground truth validation, Xiaoya Ye has made a lasting impact on the reproducibility and evaluation of robotic mapping systems.
Research Focus
Key Achievements
Top Papers
- 1