Snehil Sanyal

Defence Institute of Advanced Technology

Papers

Total Citations

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About

Snehil Sanyal is a researcher in autonomous systems and computer vision, with a focus on enhancing the perception capabilities of unmanned aerial vehicles (UAVs). His work addresses critical challenges in real-time object detection and spatial localization, enabling UAVs to interact intelligently with their surroundings. Sanyal’s most cited paper, "Detection and Location Estimation of Object in Unmanned Aerial Vehicle using Single Camera and GPS" (2020, 16 citations), presents a cost-effective method for UAVs to detect and estimate the position of objects relative to themselves using only a monocular camera and GPS data. This contribution is foundational for applications such as object tracking, environmental manipulation, and autonomous navigation. By reducing hardware complexity while maintaining accuracy, Sanyal’s approach has practical implications for lightweight, low-cost drone systems. His research bridges the gap between computer vision algorithms and real-world UAV deployment, making autonomous object interaction more accessible. With a growing citation footprint, Sanyal is establishing himself as a promising voice in the field of aerial robotics, particularly in resource-constrained sensing and control systems.