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