Jing Gao
Papers
1
Total Citations
2
H-Index
1
About
Jing Gao is a researcher whose work centers on integrated navigation systems for mobile robotics, with a particular focus on fusing optical flow-based monocular vision with inertial navigation systems (INS). Her major contribution lies in developing algorithms that enable robust, drift-free indoor navigation for mobile robots using a downward-looking camera to estimate velocity from image sequences. This approach addresses critical challenges in GPS-denied environments, where traditional navigation methods fail. While her most-cited paper, "Optical Flow-Based Monocular Vision/INS Integrated Navigation for Mobile Robot Indoors" (2014), has garnered 2 citations, it represents foundational work in a niche but growing field. Her research has practical implications for autonomous robots operating in warehouses, hospitals, and other indoor spaces. Gao's work demonstrates how combining visual and inertial data can create more reliable navigation solutions, and her contributions continue to influence researchers working on sensor fusion and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1