Results 211 to 220 of about 671 (234)

Potholes Detection Based on SVM in the Pavement Distress Image

2010 Ninth International Symposium on Distributed Computing and Applications to Business, Engineering and Science, 2010
There are much more researches on the recognition of the cracks on the distress pavement, but the research on the potholes is relatively less. In this paper, Texture measure based on the histogram is extracted as the features of the image region, and the non-linear support vector machine is built up to identify whether a target region is a pothole ...
Jin Lin, Yayu Liu
openaire   +1 more source

Hybrid ABC-ANN for pavement surface distress detection and classification

International Journal of Machine Learning and Cybernetics, 2015
Pavement condition assessment plays an important role in the process of road maintenance and rehabilitation. However, the traditional road inspection procedure is mostly performed manually, which is labor-intensive and time-consuming. The development of automated detection and classification of distress on the pavement surface system is thus necessary.
openaire   +1 more source

Pavement distress detection and classification based on YOLO network

International Journal of Pavement Engineering, 2021
Yuchuan Du, Zihao Xu, Yu Shen
exaly  

Pavement distress detection using convolutional neural networks with images captured via UAV

Automation in Construction, 2022
Junqing Zhu, Jingtao Zhong, Tao Ma
exaly  

Practical pavement distress detection via photogrammetry.

Overall, the proposed approach in this thesis offers a cost-effective, accessible, and accurate system for pavement distress detection, with the integration of fast perspective transformation and spatial data analysis playing a pivotal role in improving the assessment and management of road infrastructure.
openaire   +2 more sources

Automated pixel-level pavement distress detection based on stereo vision and deep learning

Automation in Construction, 2021
Jinchao Guan, Xiaoyun Cheng, Vincent C S Lee   +2 more
exaly  

Faster region convolutional neural network for automated pavement distress detection

Road Materials and Pavement Design, 2021
Xuancang Wang
exaly  

Multi-scale feature fusion network for pixel-level pavement distress detection

Automation in Construction, 2022
Jingtao Zhong, Junqing Zhu
exaly  

Deploying drones for autonomous detection of pavement distress

2016
Road repair expenditure comprises a significant portion of US federal and municipal budgets. Inspection and timely maintenance are crucial preventative measures against pavement distress formation that can lower the monetary burden of repairs. Yet state of the art road inspection techniques still employ technicians to perform distress measurements ...
openaire   +1 more source

The Application of a Pavement Distress Detection Method Based on FS-Net

Sustainability, 2022
Xinlong Tong
exaly