Development of automatic intelligent road transportation system for crack detection segmentation and forecasting using deep learning models

Abstract

Automatic Intelligent Transportation System plays a major role in various fields like self driving car, emergency vehicle notification system, automatic road enforcement, road maintenance sector, etc. However, automatic road crack detection and segmentation is a prominent challenging task for road based intelligent transportation system. Hence providing an efficient automatic road surface crack detection and segmentation becomes a most significant area of research. To address these automation issues, this research proposes automatic road surface crack detection, crack region newlinesegmentation and crack region forecasting models for developing an Automatic Intelligent Transportation System. newline newline