Atmane Khellal

Papers

Total Citations

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About

Atmane Khellal is a researcher specializing in computer vision and intelligent transportation systems, with a particular focus on pedestrian detection and classification in challenging environments. His most-cited work, "Pedestrian Classification and Detection in Far Infrared Images" (2015), has garnered 25 citations, establishing a foundation for leveraging thermal imaging to improve safety in autonomous driving and surveillance. Khellal’s contributions address critical limitations in visible-light systems, such as low-light and adverse weather conditions, by demonstrating how far infrared (FIR) imagery can enhance detection accuracy and robustness. This work has influenced subsequent studies in thermal vision and pedestrian safety, reflecting its practical impact in real-world applications. Beyond this landmark paper, Khellal’s research underscores the integration of machine learning with sensor fusion, advancing the reliability of perception systems. His findings are particularly valuable for students and engineers exploring non-visible spectrum imaging, offering a pathway to more resilient autonomous technologies. With a focused yet impactful portfolio, Khellal continues to shape the intersection of thermal imaging and intelligent systems.