Home About Login Current Archives Announcements Editorial Board
Submit Now For Authors Call for Submissions Statistics Contact
Home > Archives > Volume 20, No 6 (2022) > Article

DOI: 10.14704/nq.2022.20.6.NQ22724

DETECTING A POTHOLE USING DEEP CNN FOR AN ADAPTIVE SHOCK OBSERVING IN A VECHILE DRIVING

M SUDHAKAR,SHAMALA TEJASWINI,MARPAKA SHIVANI REDDY,PODDATURI VISHAL,GANGULA BANY VISHWAS

Abstract

Techniques for identifying potholes on road surfaces aim at developing strategies for real-time or offline identification of potholes, to support real-time control of a vehicle (for driver assistance or autonomous driving) or offline data collection for road maintenance. For these reasons, research around the world has comprehensively explored strategies for the identification of potholes on roads. This paper starts with a brief review of the field; it classifies developed strategies into several categories. We, then, present our contributions to this field by implementing strategies for automatic identification of potholes. We developed and studied two techniques based on stereo-vision analysis of road environments ahead of the vehicle; we also designed two models for deep-learning-based pothole detection. An experimental evaluation of those four designed methods is provided, and conclusions are drawn about particular benefits of these methods.

Keywords

Full Text

PDF

References

?>