Mohammad Ehab Ragab

Electronics Research Institute, Chinese University of Hong Kong

Papers

Total Citations

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About

Mohammad Ehab Ragab is a researcher specializing in robotics and computer vision, with a core focus on pose estimation for autonomous mobile robots using multi-camera systems. His major contributions center on developing real-time, accurate methods for determining a robot's position and orientation in space by leveraging multiple nonoverlapping cameras. In his most cited work, "Multiple nonoverlapping camera pose estimation" (2010, 15 citations), he introduced an innovative approach using four cameras arranged in back-to-back pairs combined with the Extended Kalman Filter (EKF) to achieve real-time pose estimation. This work was built upon his earlier study, "EKF Based Pose Estimation using Two Back-to-Back Stereo Pairs" (2007, 9 citations), which established the foundation for using multiple cameras to overcome the limitations of single-camera systems. Ragab further explored the impact of camera layout on estimation accuracy in "Robot Pose Estimation: A Vertical Stereo Pair Versus a Horizontal One" (2015, 2 citations), comparing different stereo configurations. His research is notable for addressing practical challenges in robotics, such as occlusions and limited field of view, making his work valuable for applications in autonomous navigation and mobile robotics.