Pankaj Kumar Sa
Papers
1
Total Citations
2
H-Index
1
About
Pankaj Kumar Sa is a leading researcher in computer vision and robotics, with a primary focus on autonomous navigation and deep learning for unmanned systems. His work addresses critical challenges in vision-based pose estimation, particularly for Unmanned Aerial Vehicles (UAVs) operating in constrained environments. Sa’s notable contribution, "Localization of Unmanned Aerial Vehicles in Corridor Environments using Deep Learning" (2019), introduces a monocular vision approach that enables UAVs to estimate their position and orientation using only a single static camera—a significant advancement for real-world applications where GPS is unavailable or unreliable. This work, which has garnered citations, demonstrates his ability to solve complex problems in robot vision with practical implications for search-and-rescue, infrastructure inspection, and autonomous flight. Sa’s research bridges the gap between theoretical deep learning models and real-time robotic systems, making him a key figure in the field. His achievements highlight a commitment to developing robust, sensor-efficient solutions that push the boundaries of autonomous navigation in unknown environments.
Research Focus
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Top Papers
- 1