Results 211 to 220 of about 689 (246)

Pavement distress detection and avoidance for intelligent vehicles

International Journal of Vehicle Autonomous Systems, 2016
Pavement distresses and potholes represent road hazards that can cause accidents and damages to vehicles. The latter may vary from a simple flat tyre to serious failures of the suspension system, and in extreme cases to collisions with third-party vehicles and even endanger passengers' lives.
Bellone, Mauro, REINA, GIULIO
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Pavement Distress Detection Using Random Decision Forests

2015
Pavement distress detection is a key technology to evaluate pavement surface and crack severity. However, there are many challenging problems when using pavement distress detection technology to do road maintenance, such as the inference of textured surroundings with similar intensity to the distresses, the existence of intensity inhomogeneity along ...
Limeng Cui, Zhiquan Qi, Zhensong Chen 0001, Fan Meng, Yong Shi 0001   +4 more
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LiDAR-Driven Innovations in Pavement Distress Detection: A Review

Journal of Computing in Civil Engineering
Jinsong Qian, Zheng Zou, Hong Lang
exaly   +2 more sources

Evaluation of Safety State of Freeway Pavement Based on Pavement Distress Detection

ICCTP 2011, 2011
By analyzing the relationship of traffic flow instability and the detection index of pavement distress, an evaluation method of pavement safety state was presented on the basis of pavement distress detection. The detection index of pavement distress was selected based on the dependence analysis and qualitative analysis.
Haiyang Leng, Qiaojun Xiang, Jing Ning, Xin Han   +3 more
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A comparison of multi-resolution methods for detection and isolation of pavement distress

Expert Systems with Applications, 2011
The research presented in this article is aimed at the development of an automated imaging system for distress detection and isolation in asphalt pavement distress obtained from pavement image acquisition system (PIAS). This article focuses on comparing the discriminating power of several multi-resolution texture analysis techniques using wavelet ...
Fereidoon Moghadas Nejad, Hamzeh Zakeri
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Wavelet-based pavement distress detection and evaluation

Optical Engineering, 2006
An automated pavement inspection system consists of image acquisition and distress image processing. The former is accomplished with imaging sensors, such as video cameras and photomultiplier tubes. The latter includes distress detection, isolation, classification, evaluation, segmentation, and compression. We focus on wavelet-based distress detection,
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Pavement distress detection and classification based on YOLO network

International Journal of Pavement Engineering, 2020
The detection and classification of pavement distress (PD) play a critical role in pavement maintenance and rehabilitation.
Yuchuan Du, Ning Pan, Zihao Xu, Fuwen Deng, Yu Shen, Hua Kang   +5 more
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Pavement distress detection and classification with automated image processing

Proceedings 2011 International Conference on Transportation, Mechanical, and Electrical Engineering (TMEE), 2011
Nowadays, pavement distresses classification becomes more important as the computational power increases. In this article, an enhancement algorithm is initially introduced to remove uneven illumination within the pavement images. This proposed method which uses a multiplicative factor to correct the background illumination, after that use shearlet ...
null Xiaoming Wang, null Xin Feng
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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
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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.
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