Rachid Belaroussi

Institut Systèmes Intelligents et de Robotique

Papers

Total Citations

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About

Rachid Belaroussi is a computer vision researcher whose work spans the intersection of 3D scene understanding, robotic perception, and medical imaging applications. His most recognized contribution lies in the domain of simultaneous localization and mapping (SLAM), where his 2016 paper on semi-dense 3D semantic mapping from monocular cameras has garnered 47 citations — a testament to its influence in the robotics and computer vision communities. This work addressed a critical challenge in autonomous systems: achieving rich, semantically meaningful 3D reconstructions using only a single monocular camera, offering greater flexibility over conventional stereo or RGB-D setups. By fusing geometric and appearance-based cues, Belaroussi helped advance the practicality of vision-based navigation for real-world robotic deployments. Beyond robotics, his research extends into medical applications, as demonstrated by his work on visual servoing for patient alignment in proton therapy, reflecting a breadth of expertise that bridges fundamental computer vision techniques with life-critical clinical systems. Belaroussi's career exemplifies how core advances in visual perception can be translated across diverse, high-impact domains — from autonomous robots navigating complex environments to precision oncological treatments.