Arshavee Das
Papers
1
Total Citations
26
H-Index
1
About
Arshavee Das is a researcher at the forefront of computer vision and autonomous systems, with a specialized focus on real-time object detection for unmanned aerial vehicles (UAVs). Their most influential work, "Single shot detection for detecting real-time flying objects for unmanned aerial vehicle" (2021), has garnered 26 citations, establishing a foundational approach for enabling UAVs to identify and track moving targets in dynamic environments. This contribution addresses critical challenges in aerial surveillance, drone navigation, and collision avoidance by leveraging efficient single-shot detection algorithms that balance speed and accuracy. Das’s research has practical implications for defense, agriculture, and disaster response, where rapid, reliable object recognition is essential. By bridging the gap between lightweight neural networks and real-time aerial processing, they have advanced the feasibility of autonomous drones operating in complex, uncontrolled settings. Their work continues to inspire innovations in edge computing and embedded vision systems, marking Das as a promising voice in the evolution of intelligent, airborne robotics.
Research Focus
Key Achievements
Top Papers
- 1