Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
Online ISSN : 1881-7203
Print ISSN : 1347-7986
ISSN-L : 1347-7986
Short Notes
Consideration on Construction Method of Recognition Model for Extraction of Road Object Images Suitable for Daily Inspection
Rentaro MORIKenji NAKAMURA
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2022 Volume 34 Issue 2 Pages 539-543

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Abstract

Road administrators inspect roads daily. However, the number of facilities to be inspected is enormous, and local governments are seriously short of workers. The authors have focused on drive recorders, which are inexpensive and easy to install in patrol vehicles and have been conducting research to improve the efficiency of daily inspections using recognition technology of road objects by deep learning. In this study, we clarify the possibility of constructing a recognition model that extracts only the images of road objects suitable for inspection from video images and the optimal combination of road objects to be trained. From the results of the evaluation experiments, it was found that it is necessary to consider “only images suitable for inspection should be used as training data” and “only similar road features should be combined for training” when creating the recognition model.

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© 2022 Japan Society for Fuzzy Theory and Intelligent Informatics
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