首页|Dalian University of Technology Researcher Describes Research in Machine Learning (Automatic Classification of Pavement Type and Service Age Benchmarked with Standard Texture Databases Using the Machine Learning Method: A Pilot Study)
Dalian University of Technology Researcher Describes Research in Machine Learning (Automatic Classification of Pavement Type and Service Age Benchmarked with Standard Texture Databases Using the Machine Learning Method: A Pilot Study)
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2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intelligence have been published. According to news originating from Dalian, People’s Republic of China, by NewsRx editors, the research stated, “Pavement intelligent management systems have attracted considerable interest from researchers.” The news journalists obtained a quote from the research from Dalian University of Technology: “How- ever, various service conditions of pavement surface concerning the pavement type, texture service age, and so forth, inhibit a universal algorithm that is feasible for all cases. In this regard, the automatic classification of pavement type and service age is an essential premise to unblock the bottleneck stated above. Based on the surface texture data, a pilot study of the automatic classification approach to identify pavement surface textures using convolutional neural networks (CNNs) is presented. For comparison, the efficiency of the support vector machine (SVM) is also investigated. In total, three cases, (i) pavement types, (ⅱ) texture service ages, and (ⅲ) a combination of (i) and (ⅱ), are involved in the automatic classification. The results indicate that the CNN outperforms the SVM, and the CNN models show a favorable classification accuracy for the above three cases with 93.0%, 81.1%, and 83.8%, respectively.”
Dalian University of TechnologyDalianPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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