Results 201 to 210 of about 671 (234)
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Novel System for Automatic Pavement Distress Detection

Journal of Computing in Civil Engineering, 1998
Statistics published by the Federal Highway Administration indicate that maintenance and rehabilitation of highway pavements in the United States requires an expenditure of over $17 billion a year. In conventional visual and manual pavement distress analysis approaches, inspectors traverse roads and stop and measure distress objects when they are found.
H. D. Cheng, M. Miyojim
openaire   +1 more source

A Two-Stream Context-Aware ConvNet for Pavement Distress Detection

2020 43rd International Conference on Telecommunications and Signal Processing (TSP), 2020
Convolutional neural networks (ConvNets) are widely used for pavement distress analysis tasks in which features are typically extracted from a smaller image (e.g. $224\times 224$) that has been cropped from an orthophoto. This paper introduces a ConvNet-based method to classify partitioned segments of orthophotos for pavement distress by incorporating ...
Roland Lõuk   +2 more
openaire   +1 more source

Deep learning-based intelligent detection of pavement distress

Automation in Construction
Yinghui Wang   +2 more
exaly   +2 more sources

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
openaire   +1 more source

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   +4 more
openaire   +1 more source

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   +3 more
openaire   +1 more source

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
openaire   +1 more source

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,
openaire   +1 more source

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   +5 more
openaire   +1 more source

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
openaire   +1 more source

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