Survey of road anomalies detection methods
Survey of road anomalies detection methods
Derar Elyyan,Yousef-Awwad Daraghmi,2 Authors,Muath N Sabha
TLDR
In this paper several studies for anomaliesdetection and classification have been reviewed and several techniques used for detecting and recognizing road anomalies, such asaspotholes, cracks, and speedbumps are reviewed.
Abstract
: Automatic road anomalies detection and recognition systems are essential due to their effect on the comfort and safety of drivers and passengers. Drivers should be aware of bad road conditions and the existence of anomalies in routes to avoid accidents, reduce the possibility of car malfunction, and take the most appropriate way to reach their destinations. These reasons have led to conducting much research to automatically detect and recognize road anomalies. The related studies can be categorized into accelerometer-based techniques and vision-based techniques, which can also be divided based on the possibility of using deep neural Networks techniques or not. In this paper several studies for anomaliesdetectionandclassificationhavebeenreviewed.Wealsodiscussseveral typesofroadanomalies,suchaspotholes,cracks,andspeedbumps.Additionally,roaddamagedetectiontechniquesusedfordifferenttypesofroadanomalies, challenges,andlimitationsofcurrentresearch.