Mykola Samoilenko
Papers
1
Total Citations
16
H-Index
1
About
Mykola Samoilenko is a researcher advancing the frontiers of computer vision and artificial intelligence for unmanned systems. His primary focus lies in developing robust 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), tackles the challenge of enhancing neural network performance in real-time, dynamic environments. By refining detection algorithms for aerial photographs and video streams, Samoilenko addresses key limitations in accuracy and speed, directly impacting the operational effectiveness of unmanned aerial systems. This contribution is vital for applications ranging from search-and-rescue to infrastructure monitoring. His research bridges the gap between theoretical AI advancements and practical deployment in resource-constrained aerial platforms, demonstrating a commitment to solving real-world engineering problems. As the demand for autonomous systems grows, Samoilenko’s work on improving model reliability and efficiency positions him as a notable contributor to the next generation of intelligent, vision-guided drones.
Research Focus
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Top Papers
- 1