Xitian Gao
Papers
1
Total Citations
2
H-Index
1
About
Xitian Gao is a robotics researcher specializing in visual simultaneous localization and mapping (SLAM) for autonomous unmanned aerial vehicles. His most cited work, "An Extensible Framework of Monocular SLAM with Depth Recovery for an Unmanned Aerial Vehicle," presents a pioneering framework that enables drones equipped with only a single monocular camera to perform robust localization and mapping while recovering depth information. Integrated using the Robot Operating System (ROS) on an onboard computer, this framework extends the ORB-SLAM repository to address the unique challenges of aerial platforms, such as limited payload and computational constraints. Though his citation count is still growing, Gao's contributions are notable for their practical extensibility and direct application to DJI autonomous drones, offering a scalable solution for real-world UAV navigation. His work bridges a critical gap between monocular vision and depth estimation, making him a promising figure in the fields of aerial robotics and computer vision.
Research Focus
Key Achievements
Top Papers
- 1