Classification of Paved and Unpaved Road Image Using Convolutional Neural Network for Road Condition Inspection System

Vosco Pereira, Satoshi Tamura, Satoru Hayamizu, Hidekazu Fukai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Image processing techniques have been actively used for research on road condition inspection and achieving high detection accuracies. Many studies focus on the detection of cracks and potholes of the road. However, in some least developed countries, there are some distances of roads are still unpaved and it escaped the attention of the researchers. Inspired by penetration and success in applying deep learning technic to computer vision and to any other fields and by the existence of the various type of smartphone devices, we proposed a low - cost method for paved and unpaved road images classification using convolutional neural network (CNN). Our model is trained with 13.186 images and validate with 3.186 images which collected using smartphone device in various conditions of roads such as wet, muddy, dry, dusty and shady conditions and with different types of road surface such as ground, rocks and sands. The experiment using 500 new testing images showed that our model can achieve high Precision (98.0%), Recall (98.4%) and F1 - Score (98.2%) simultaneously.

Original languageEnglish
Title of host publicationICAICTA 2018 - 5th International Conference on Advanced Informatics
Subtitle of host publicationConcepts Theory and Applications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages165-169
Number of pages5
ISBN (Electronic)9781538648049
DOIs
Publication statusPublished - 2018 Nov 20
Externally publishedYes
Event5th International Conference on Advanced Informatics: Concepts Theory and Applications, ICAICTA 2018 - Krabi, Thailand
Duration: 2018 Aug 142018 Aug 17

Publication series

NameICAICTA 2018 - 5th International Conference on Advanced Informatics: Concepts Theory and Applications

Conference

Conference5th International Conference on Advanced Informatics: Concepts Theory and Applications, ICAICTA 2018
CountryThailand
CityKrabi
Period18/8/1418/8/17

Keywords

  • Convolutional Neural Network
  • Deep Learning
  • Image Classification
  • Paved
  • Road Condition Inspec-tion
  • Unpaved

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems

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