Automated FHWA Vehicle Classification Using Combined Semantic and Geometric Features Extracted from Surveillance Videos | Journal of Computing in Civil Engineering | Vol 39, No 3

Automated FHWA Vehicle Classification Using Combined Semantic and Geometric Features Extracted from Surveillance Videos | Journal of Computing in Civil Engineering | Vol 39, No 3

The US Federal Highway Administration (FHWA) vehicle classification scheme is designed to serve multiple transportation needs, such as road infrastructure design, pavement maintenance scheduling, and traffic-induced emission estimation. Although a plethora of studies have advanced computer vision-based techniques for vehicle classification, no vision-based method has yet achieved the desired level of accuracy for all 13 FHWA vehicle category classifications primarily due to the interclass similarity issue, particularly among trucks...