Iryna Borshchova

Papers

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About

Iryna Borshchova is a researcher specializing in autonomous aerial systems, unmanned aerial vehicles (UAVs), and computer vision-based control. Her work focuses on developing intelligent landing solutions for multi-rotor unmanned aerial systems (UAS), particularly in the challenging context of landing on dynamic, moving platforms — a problem with significant real-world implications for logistics, search-and-rescue, and military applications. Her most recognized contribution, "Visual servoing for autonomous landing of a multi-rotor UAS on a moving platform" (2016), has garnered 5 citations and introduces an image-based visual servoing framework that leverages onboard camera detection of specially designed visual marker patterns to guide precise autonomous landings. Building on this foundation, her 2017 follow-up work, "Vision-based automatic landing of a rotary UAV," proposes a sophisticated hybrid control approach combining continuous and discrete-event methodologies to further refine landing reliability and adaptability. Borshchova's research bridges theoretical control systems with practical robotics implementation, demonstrating how computer vision can serve as a robust sensing modality for autonomous navigation. While still an emerging researcher in terms of citation volume, her contributions address technically demanding problems at the intersection of UAV autonomy and real-time visual control — areas of rapidly growing importance across both commercial and defense sectors.