<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Aiming at the problem of automatic identification and evaluation of road damage degree, the road damage identification and degree assessment algorithms based on unmanned vehicles experimental platform are studied. The road crack segmentation extraction method based on adaptive sliding window is studied. On this basis, the road damage crack classifies and identifies according to the crack geometry information and the principle of template matching. The road damage degree assessment algorithm based on fuzzy decision is proposed based on the quantitative analysis of the road crack and the corresponding parameters information. The experimental results demonstrate that the road damage identification and degree assessment algorithms proposed in this paper are effective and stable.</p>
</abstract>

Aiming at the problem of automatic identification and evaluation of road damage degree, the road damage identification and degree assessment algorithms based on unmanned vehicles experimental platform are studied. The road crack segmentation extraction method based on adaptive sliding window is studied. On this basis, the road damage crack classifies and identifies according to the crack geometry information and the principle of template matching. The road damage degree assessment algorithm based on fuzzy decision is proposed based on the quantitative analysis of the road crack and the corresponding parameters information. The experimental results demonstrate that the road damage identification and degree assessment algorithms proposed in this paper are effective and stable.

Road Damage Identification and Degree Assessment Based on UGV

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Road Damage Identification and Degree Assessment Based on UGV"}

Aiming at the problem of automatic identification and evaluation of road damage degree, the road damage identification and degree assessment algorithms based...

Road Damage Identification and Degree Assessment Based on UGV

Published Online: Dec 01, 2016

Page range: 2069 - 2087

Received: Jul 27, 2016

Accepted: Oct 19, 2016

DOI: https://doi.org/10.21307/ijssis-2017-953

Keywords
unmanned vehicle, damage identification, quantitative analysis, fuzzy decision

© 2016 J. H. Song et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Road Damage Identification and Degree Assessment Based on UGV

Published Online: Dec 01, 2016

Page range: 2069 - 2087

Received: Jul 27, 2016

Accepted: Oct 19, 2016

DOI: https://doi.org/10.21307/ijssis-2017-953

Keywordsunmanned vehicle, damage identification, quantitative analysis, fuzzy decision

© 2016 J. H. Song et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Keywords
unmanned vehicle, damage identification, quantitative analysis, fuzzy decision