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Speed Bump and Pothole Detection Using Deep Neural...
Journal article

Speed Bump and Pothole Detection Using Deep Neural Network with Images Captured through ZED Camera

Abstract

The condition of the roads where cars circulate is of the utmost importance to ensure that each autonomous or manual car can complete its journey satisfactorily. The existence of potholes, speed bumps, and other irregularities in the pavement can cause car wear and fatal traffic accidents. Therefore, detecting and characterizing these anomalies helps reduce the risk of accidents and damage to the vehicle. However, street images are naturally …

Authors

Peralta-López J-E; Morales-Viscaya J-A; Lázaro-Mata D; Villaseñor-Aguilar M-J; Prado-Olivarez J; Pérez-Pinal F-J; Padilla-Medina J-A; Martínez-Nolasco J-J; Barranco-Gutiérrez A-I

Journal

Applied Sciences, Vol. 13, No. 14,

Publisher

MDPI

DOI

10.3390/app13148349

ISSN

2076-3417