Ilshat Khasanshin
Papers
1
Total Citations
77
H-Index
1
About
Ilshat Khasanshin is a researcher at the forefront of applying computer vision and deep learning to precision agriculture and robotics. His work centers on developing intelligent systems for spatial object detection, with a particular focus on agricultural applications such as fruit localization and harvesting automation. His most cited paper, "Intelligent System for Estimation of the Spatial Position of Apples Based on YOLOv3 and Real Sense Depth Camera D415" (2022, 77 citations), addresses a critical limitation in modern neural networks: while architectures like YOLOv3 excel at detecting objects in pixel coordinates, they do not inherently provide real-world spatial positioning. Khasanshin’s contribution bridges this gap by integrating depth sensing with object detection, enabling accurate 3D localization of apples for robotic harvesting. This work has significant implications for reducing labor costs and improving efficiency in agriculture. Beyond this paper, his research continues to explore the intersection of AI, sensor fusion, and autonomous systems, making him a notable figure in applied computer vision.
Research Focus
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Top Papers
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