E. M. Mouaddib
Papers
1
Total Citations
2
H-Index
1
About
E. M. Mouaddib is a leading figure in computer vision and robotics, with a primary focus on omnidirectional vision systems and their application to mobile robot navigation. His research centers on solving fundamental problems in egomotion estimation—the process of determining a moving camera’s own trajectory—by leveraging the unique advantages of wide-field-of-view sensors. In his notable 2009 work, “Omnidirectional Egomotion Estimation from Adapted Motion Field,” Mouaddib advanced the state of the art by demonstrating how motion fields computed directly in the image plane can be adapted for omnidirectional cameras, enabling more robust and accurate observer motion recovery. This contribution has been cited over 2 times and remains a key reference for researchers developing vision-based navigation systems. Mouaddib’s work has significantly influenced the design of autonomous robots that rely on panoramic perception, bridging the gap between theoretical motion analysis and practical, real-world deployment. His ongoing contributions continue to shape how machines perceive and move through complex environments.
Research Focus
Key Achievements
Top Papers
- 1Omnidirectional Egomotion Estimation from Adapted Motion Field2 citations · 2009