E. Mouaddib

Université de Picardie Jules Verne, Modélisation, information et systèmes

Papers

Total Citations

H-Index

About

E. Mouaddib is a leading researcher in omnidirectional vision and robotic perception, with a focus on catadioptric imaging systems for mobile robot localization and environment mapping. Their major contributions center on developing novel stereovision sensors that combine parabolic mirrors with orthographic cameras to capture panoramic scene information. In their highly cited 2009 paper, Mouaddib introduced a vertical line matching technique for omnidirectional stereovision, demonstrating how a four-mirror system can provide redundancy and improve indoor localization accuracy. This work, with 7 citations, laid groundwork for robust visual SLAM in complex environments. Mouaddib further advanced the field in 2014 by exploring visual contact methods for catadioptric cameras, achieving 4 citations for addressing practical challenges in robotic navigation. Their research bridges theoretical optics and real-world robotics, offering efficient solutions for spatial understanding. By leveraging multi-mirror configurations, Mouaddib has enabled more reliable mapping and localization, making their work essential for students and researchers in computer vision, autonomous systems, and sensor design.