Anastasiya Chupryna

Kharkiv National University of Radio Electronics

Papers

Total Citations

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About

Anastasiya Chupryna is a researcher advancing the field of machine vision and intelligent transportation systems, with a focus on enhancing road safety through algorithmic innovation. Her work centers on developing and comparing potential road accident detection algorithms for modern machine vision systems, addressing the growing need for robots and autonomous vehicles to interpret their environments with precision. In her most-cited paper, "COMPARISON OF POTENTIAL ROAD ACCIDENT DETECTION ALGORITHMS FOR MODERN MACHINE VISION SYSTEM" (2023, 5 citations), she explores how sophisticated vision technologies can replace traditional sensor arrays, enabling robots to navigate and react to dynamic road conditions. This contribution is pivotal as robotics becomes increasingly relevant, requiring more advanced perceptual capabilities. Chupryna’s research bridges the gap between theoretical algorithm design and practical deployment, offering insights that could reduce accident rates and improve autonomous system reliability. Her work has garnered attention from peers in the field, underscoring its significance in the evolution of machine vision. By tackling the critical challenge of real-time hazard detection, Chupryna is helping shape a safer, more efficient future for both robotic and vehicular systems.