Hani Hunud A Kadouf

Papers

Total Citations

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About

Hani Hunud A Kadouf is a researcher whose work sits at the intersection of robotics, computer vision, and autonomous systems. His most cited paper, "Colour-based Object Detection and Tracking for Autonomous Quadrotor UAV" (2013, 24 citations), addresses a critical challenge in aerial robotics: enabling unmanned aerial vehicles to perceive and follow targets in real time. By developing a colour-based detection and tracking algorithm for quadrotors, Kadouf contributed to foundational capabilities for applications ranging from surveillance in hostile zones to search-and-rescue operations in disaster areas. This work demonstrates his focus on practical, vision-driven autonomy for small-scale UAVs—a field with growing relevance in both civilian and defense contexts. While his citation count reflects a specialized niche, the paper’s integration of computer vision with low-cost aerial platforms has provided a building block for subsequent research in autonomous navigation. Kadouf’s contributions highlight the importance of robust, computationally efficient perception systems in expanding the operational reach of unmanned systems.