This research outlines three primary goals. First, develop a robust vision system addressing three key challenges of traditional pavement distress detection systems. Second, perform the integration of the vision system on to a GIS platform for crack classification and quantification. GIS will be used to generate real time road condition maps and provide recommendations regarding maintenance actions. Third, establish a real-time implementation of the system through parallel processing on current generation of multi-core CPUs.