Ahmed Rida Sekkat

Papers

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About

Ahmed Rida Sekkat is a leading researcher in computer vision and robotics, with a primary focus on omnidirectional perception and autonomous systems. His most impactful contribution is the creation of the OmniScape Dataset (2020), a pioneering work that has garnered 46 citations and addresses a critical gap in the field. Recognizing the lack of annotated omnidirectional image datasets for semantic segmentation, depth estimation, and dynamic property analysis—a bottleneck caused by the prohibitive time and human effort required for ground truth labeling—Sekkat developed this comprehensive resource. By enabling robust training and evaluation of models for 360-degree vision, his work has significantly advanced applications in robotics and automotive navigation, where wide-field perception is essential. Sekkat’s contributions are foundational for researchers tackling real-world challenges in autonomous driving and spatial AI, establishing him as a key figure in expanding the capabilities of omnidirectional sensor systems.