Rozeha A. Rashid

Papers

Total Citations

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About

Rozeha A. Rashid is a leading researcher in autonomous systems, robotics, and intelligent transportation, with a focus on real-time perception and navigation for both ground and aerial vehicles. Her work bridges the gap between advanced algorithms and practical deployment in unstructured environments. Notably, she led the implementation of a learning-based lane detection algorithm—Ultra Fast Lane Detection—for real-time application on the SEATER (Single-passenger Electric Autonomous Transporter), a pioneering autonomous mobile robot. This contribution, detailed in her 2024 paper, demonstrates her ability to translate complex computer vision techniques into functional robotic systems. In 2025, she introduced a novel virtual-target-based reactive obstacle avoidance method for unmanned aerial vehicles (UAVs) operating in low-altitude, outdoor unstructured settings, addressing critical challenges in autonomous aerial navigation. While her most-cited papers currently hold 1 citation each, reflecting their recent publication, her work is poised for significant impact in the rapidly evolving fields of autonomous driving and drone technology. Rozeha’s research is essential reading for students and engineers interested in real-world autonomy, from lane-keeping algorithms to collision-free flight in unknown environments.