Marzena Wojciechowska

Polish-Japanese Academy of Information Technology

Papers

Total Citations

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About

Marzena Wojciechowska is a researcher in autonomous vehicle perception and unmanned aerial vehicle (UAV) navigation, with a focus on vision-based systems for safe, real-time decision-making. Her work centers on optical flow techniques for collision avoidance in autonomous cars, where she has developed methods to interpret motion patterns from visual data, enabling vehicles to detect and evade obstacles without relying on expensive sensors. Her most cited paper, "Optical Flow for Collision Avoidance in Autonomous Cars" (2018, 8 citations), lays foundational groundwork for low-cost, efficient perception in dynamic environments. She has also advanced fixed-wing UAV landing safety through her research on ground plane estimation, as demonstrated in her 2021 paper (3 citations), which addresses the challenge of obstacle avoidance during precision landings. Wojciechowska’s contributions bridge computer vision and robotics, offering practical solutions for autonomous systems operating in unpredictable settings. Her work is particularly notable for its emphasis on computational efficiency, making it accessible for real-world deployment. As a rising voice in autonomous navigation, her research continues to inspire safer, more robust vehicle and drone operations.