Results 271 to 280 of about 592,196 (331)

Feature extraction and segmentation of pavement distress using an improved hybrid task cascade network

International Journal of Pavement Engineering, 2023
An improved Hybrid Task Cascade (HTC) instance segmentation model was proposed to segment pavement surface distress intelligently and accurately. First, the automatic color equalization (ACE) algorithm was performed to preprocess the dataset.
Danyu Wang, Zhen Liu, Xingyu Gu, Wenxiu Wu   +3 more
semanticscholar   +1 more source

Automatic pavement distress severity detection using deep learning

International Journal on Road Materials and Pavement Design, 2023
Roads are one of the most critical infrastructures, which should be maintained at a high quality of service. For this purpose, road pavement should be assessed cost-effectively.
P. Valipour, A. Golroo, Afarin Kheirati, Mohammadsadegh Fahmani, Mohammad Javad Amani   +4 more
semanticscholar   +1 more source

A review of advanced pavement distress evaluation techniques using unmanned aerial vehicles

International Journal of Pavement Engineering, 2023
The economy of the nation is significantly influenced by pavement management systems. The use of cutting-edge techniques and technology in various pavement management system applications, as well as research into these topics, are particularly important ...
M. Manjusha, V. Sunitha
semanticscholar   +1 more source

Cross‐scene pavement distress detection by a novel transfer learning framework

Comput. Aided Civ. Infrastructure Eng., 2021
Deep learning has achieved promising results in pavement distress detection. However, the training model's effectiveness varies according to the data and scenarios acquired by different camera types and their installation positions.
Yishun Li, Pengyu Che, Chenglong Liu, Difei Wu, Yuchuan Du   +4 more
semanticscholar   +1 more source

Unified Pavement Distress Index for Managing Flexible Pavements

Journal of Transportation Engineering, 1992
One of the innovative approaches for maintaining and rehabilitating the nation's highways is to develop and implement some form of pavement management system (PMS). This paper documents results of a survey on PMS use in the United States. In addition, a simple method for a PMS based on priority ranking is presented.
C. H. Juang, S. N. Amirkhanian
openaire   +1 more source

Wavelet-Based Pavement Distress Classification

Transportation Research Record: Journal of the Transportation Research Board, 2005
A two-step method–-wavelet transform followed by Radon transform–- is proposed for pavement distress classification. First, a pavement image is decomposed into different frequency subbands by wavelet transform. Distress is transformed into the high-amplitude wavelet coefficients, which are referred to as the details, in the high-frequency subbands ...
Jian Zhou, Peisen Huang, Fu-Pen Chiang
openaire   +1 more source

Automatic Classification of Pavement Distress Using 3D Ground-Penetrating Radar and Deep Convolutional Neural Network

IEEE transactions on intelligent transportation systems (Print), 2022
The realization of nondestructive detection and classification of pavement distress is of great significance for putting forward a reasonable maintenance scheme and prolonging the service life of the road.
Xingmin Liang, Xin Yu, Chen Chen, Yong Jin, Jiandong Huang   +4 more
semanticscholar   +1 more source

Automatic Pavement‐Distress‐Survey System

Journal of Transportation Engineering, 1990
An automatic pavement-distress-survey system that uses laser, video, and image processing techniques has recently been developed. This system consists of a survey vehicle and a data-processing system. The survey vehicle can measure cracking, rutting, and longitudinal profile simultaneously, without contact, rapidly and accurately.
Toshihiko Fukuhara, Keiji Terada, Makoto Nagao, Atsushi Kasahara, Shigeki Ichihashi   +4 more
openaire   +1 more source

Automated pavement distress segmentation on asphalt surfaces using a deep learning network

International Journal of Pavement Engineering, 2022
Recently, many deep learning methods have achieved great results in the field of automated pavement distress detection, but most of them ignore other types of distresses beyond cracks.
Tian Wen, Shuo Ding, H. Lang, J. Lu, Ye Yuan, Yichuan Peng, Jiang Chen, Aidi Wang   +7 more
semanticscholar   +1 more source

Automatic pavement distress detection system

Information Sciences, 1998
Abstract Statistics published by the Federal Highway Administration indicates that maintenance and rehabilitation of highway pavements in the United States requires over $17 billion a year. Conventional visual and manual pavement distress analysis approaches that the inspectors traverse the roads, stop and measure the distress objects when they are ...
H.D. Cheng, M. Miyojim
openaire   +1 more source