Fakhreddine Ababsa

Informatique, Biologie Intégrative et Systèmes Complexes, Université d'Évry Val-d'Essonne, University of Batna 1

Papers

Total Citations

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About

Fakhreddine Ababsa is a leading researcher in computer vision and robotics, specializing in 3D localization, human-robot interaction, and sensor fusion. His foundational work on hybrid sensor systems, particularly the GPS-IMU-camera modelization for outdoor 3D localization, has been instrumental in advancing augmented reality and mobile robotics applications. This paper, with 7 citations, established a robust calibration framework that overcomes the limitations of single-sensor approaches. Ababsa has also made significant contributions to gesture recognition, developing a depth-based technique using Kinect sensors for dynamic 3D gesture recognition in human-robot interaction, earning 4 citations. His innovative approach to human detection in spherical images, leveraging omnidirectional cameras for wide-field-of-view applications, further demonstrates his versatility, with 4 citations. Earlier in his career, Ababsa developed an absolute localization technique for autonomous mobile robots using rotating sonar, laying groundwork for indoor navigation. With a career spanning over two decades, his work continues to influence autonomous systems, from sensor calibration to real-time human-robot collaboration, making him a key figure in advancing intelligent, perceptive machines.