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Design 3D Visualization Digital Road System of Pavement Distress
Author(s) -
Jie Qiao,
Bian Li,
Tao Liu,
Wen-Zhi DUAN
Publication year - 2017
Publication title -
destech transactions on engineering and technology research
Language(s) - English
Resource type - Journals
ISSN - 2475-885X
DOI - 10.12783/dtetr/mdm2016/4979
Subject(s) - visualization , computer science , transport engineering , distress , visual inspection , risk analysis (engineering) , engineering , data mining , artificial intelligence , business , biology , ecology
The traditional detection methods at present cannot meet the real needs of the road maintenance organization. Manual measurement takes long time and low efficiency, costs labor intensity, affect the normal traffic and has a security risk. Multifunctional detection vehicle unable to accurately detect three-dimensional pavement distress. The type of disease detection is not complete, leading to inaccurate evaluation results, thereby affecting the accurate decision of maintenance organization. This research design 3D visualization digital road system of pavement distress, Road disease integrity detection based on three-dimensional visualization reconstruction have been realized, compared with traditional road detection technology, three-dimensional visual road reconstruction system which designed in this paper could realize full coverage of road damage data, evaluate road conditions rapidly and accurately, and provide reliable and scientific technology support for road maintenance decision.

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