A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Intelligent detection of asphalt pavement abrasion status based on laser and mobile images
In order to improve the convenience and the efficiency of the asphalt pavement surface wear test, we provided a intelligent detection method based on 3D and 2D pavement surface texture information. We collected the actual pavement surface texture data by a handheld laser 3D scanner and a smartphone. With the 3D points data cloud, we calculated the pavement wear index (PWI) to grade the road surface wear status and extracted of several interested parameters. According to the grading of road surface wear status from the 3D data cloud, the corresponding 2D mobile images were labeled and the training set and test set for neural network training were established. Finally we used a improved ResNet50 network to build a classifier, and tested the classifier performance. The result showed that this method could quickly and effectively predict and classify the road wear state with an accuracy of 94.17% which was adequate for road wear detection.
Intelligent detection of asphalt pavement abrasion status based on laser and mobile images
In order to improve the convenience and the efficiency of the asphalt pavement surface wear test, we provided a intelligent detection method based on 3D and 2D pavement surface texture information. We collected the actual pavement surface texture data by a handheld laser 3D scanner and a smartphone. With the 3D points data cloud, we calculated the pavement wear index (PWI) to grade the road surface wear status and extracted of several interested parameters. According to the grading of road surface wear status from the 3D data cloud, the corresponding 2D mobile images were labeled and the training set and test set for neural network training were established. Finally we used a improved ResNet50 network to build a classifier, and tested the classifier performance. The result showed that this method could quickly and effectively predict and classify the road wear state with an accuracy of 94.17% which was adequate for road wear detection.
Intelligent detection of asphalt pavement abrasion status based on laser and mobile images
Tao, Wei (editor) / Pan, Hailang (editor) / Yao, Baoli (editor) / Hua, Cheng (author) / Chenghao, Xie (author) / Shaochen, Ma (author) / Wen, Tang (author)
International Conference on Precision Instruments and Optical Engineering (PIOE 2023) ; 2023 ; Shanghai, China
Proc. SPIE ; 12917
2023-11-01
Conference paper
Electronic Resource
English
Abrasion Resistance of Concrete Block Pavement and Asphalt Concrete
| British Library Conference Proceedings | 1998
Intelligent detection test method for asphalt pavement flatness
| European Patent Office | 2020
Pavement abrasion detection method based on precise three dimensions
| European Patent Office | 2023
Asphalt pavement asphalt layer thickness detection device
| European Patent Office | 2024