Chenliang An
Papers
1
Total Citations
2
H-Index
1
About
Chenliang An is a robotics researcher whose work centers on autonomous navigation, sensor fusion, and simultaneous localization and mapping (SLAM) for unmanned aerial vehicles. His most-cited paper, "An Extensible Framework of Monocular SLAM with Depth Recovery for an Unmanned Aerial Vehicle" (2020), introduces a novel framework that enables a DJI-autonomous drone to perform robust SLAM using only a monocular sensor. By integrating depth recovery into the ORB-SLAM pipeline and deploying it on an onboard computer via the Robot Operating System (ROS), An’s work addresses a critical challenge in lightweight, cost-effective drone autonomy. This contribution has garnered attention in the field, with 2 citations, and is notable for its practical extensibility—allowing researchers to adapt the framework for various UAV platforms. An’s research bridges the gap between theoretical SLAM algorithms and real-world deployment, making autonomous flight more accessible for applications in inspection, mapping, and search-and-rescue. His work exemplifies how efficient sensor utilization can unlock new capabilities in aerial robotics.
Research Focus
Key Achievements
Top Papers
- 1