Anuj Sharma
Papers
1
Total Citations
2
H-Index
1
About
Anuj Sharma is a researcher at the forefront of unmanned aerial vehicle (UAV) navigation and computer vision, with a particular focus on fiducial marker systems. His work addresses critical challenges in autonomous drone operations, especially in landing and navigation scenarios where reliable marker detection is essential. Sharma’s most cited paper, "Comparative Analysis of Fractal and ArUco marker for Navigation and Landing of Drones" (2024, 2 citations), systematically evaluates the robustness of two key marker types—ArUco and Fractal markers—under varying environmental conditions. This study provides practical insights for improving pose estimation accuracy in real-world applications such as human-robot interaction, robotic grasping, and underwater navigation. By identifying the strengths and limitations of each marker system, Sharma’s research offers valuable guidance for engineers and researchers developing autonomous systems. His work stands out for its direct relevance to the growing field of drone technology, where precise marker detection is critical for safe and efficient operations. Sharma’s contributions are particularly notable for bridging theoretical marker analysis with practical deployment challenges, making his findings immediately applicable to ongoing advancements in UAV navigation and robotics.
Research Focus
Key Achievements
Top Papers
- 1