Ivan Moskalenko

Skolkovo Institute of Science and Technology

Papers

Total Citations

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About

Ivan Moskalenko is a researcher specializing in computer vision and aerial robotics, with a particular focus on visual place recognition for unmanned aerial vehicles (UAVs). His major contribution lies in advancing the understanding and application of visual place recognition in aerial imagery, a critical technology for autonomous navigation, mapping, and surveillance in GPS-denied environments. His 2024 survey paper, "Visual place recognition for aerial imagery: A survey," has already garnered 10 citations, establishing him as a key voice in this emerging field. The work systematically reviews methods, datasets, and challenges, providing a foundational resource for researchers and practitioners. Moskalenko’s research bridges the gap between ground-based visual localization and the unique demands of aerial platforms, addressing issues like viewpoint variation, scale changes, and environmental diversity. His achievements include synthesizing disparate approaches into a cohesive framework, which has accelerated progress in autonomous drone operations. For students and researchers exploring visual place recognition or aerial robotics, Moskalenko’s work offers both a comprehensive overview and a roadmap for future innovation, making him a notable contributor to the field’s evolution.