Papers
1
Total Citations
16
H-Index
1
About
Anton Rohovyi is a researcher advancing the intersection of artificial intelligence, computer vision, and unmanned aerial systems. His primary focus lies in developing and refining object detection models for aerial imagery captured by drones and robots, a critical area for autonomous navigation and surveillance. His most-cited work, "Improving the model of object detection on aerial photographs and video in unmanned aerial systems" (2022, 16 citations), directly addresses the challenge of enhancing neural network-based detection in these dynamic, high-altitude environments. By proposing improvements to existing models, Rohovyi contributes to making unmanned systems more perceptive and reliable in real-world applications. His research is foundational for students and engineers working on autonomous drone technology, computer vision for robotics, and AI-driven surveillance systems. With a growing citation record, Rohovyi is establishing himself as a contributor to the practical deployment of intelligent vision systems in aerial platforms, helping to bridge the gap between theoretical AI models and their robust operation in the field.
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Top Papers
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