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Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 9, Issue 4, Pages 2,069-2,087, DOI: https://doi.org/10.21307/ijssis-2017-953
License : (CC BY-NC-ND 4.0)
Received Date : 27-July-2016 / Accepted: 19-October-2016 / Published Online: 01-December-2016
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
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