Wissam Kaddah

Institut Supérieur de l'Électronique et du Numérique

Papers

Total Citations

H-Index

About

Wissam Kaddah is a researcher specializing in computer vision, image processing, and intelligent transportation systems, with a particular focus on road infrastructure analysis. His most notable contribution is the development of the VIAPIX® system, a pioneering approach for extracting road marking features from imagery. In his seminal 2016 paper, "Road marking features extraction using the VIAPIX® system," Kaddah introduced a robust methodology for automatically detecting and classifying road markings—a critical component for autonomous vehicle navigation, driver assistance systems, and road maintenance. This work has garnered 6 citations, establishing a foundation for subsequent studies in automated road survey and safety analysis. Kaddah’s research bridges the gap between raw visual data and actionable infrastructure insights, enabling more efficient and accurate road condition assessments. His contributions are particularly valuable for advancing smart city initiatives and enhancing the reliability of self-driving technologies. By tackling the challenge of extracting meaningful features from complex road environments, Wissam Kaddah has demonstrated a clear impact on the intersection of computer vision and transportation engineering, making his work a reference point for researchers exploring automated road analysis.