Results 31 to 40 of about 9,669 (275)

Pavement Crack Detection Using Sketch Token

Procedia Computer Science, 2018
Abstract Due to the serious threats to road safety caused by pavement distress, it has drawn much attention to seek efficient road crack detection methods for automatic pavement condition evaluation. In recent detectors, structure information of cracks has not been utilized effectively, which leads to the high sensitivity to crack-like noises.
Fan Meng, Aihua Li
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Pavement Crack Detection Using Spectral Clustering Method [PDF]

International Journal of Image, Graphics and Signal Processing, 2015
Pavement crack detection plays an important role in pavement maintaining and management, nowadays, which could be performed through remote image analysis. Thus, edges of pavement crack should be extracted in advance; in general, traditional edge detection methods don’t consider phase information and the spatial relationship between the adjacent image ...
Jin Huazhong, Ye Zhiwei, Su Jun
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Deep Learning Based Pavement Inspection Using Self-Reconfigurable Robot

Sensors, 2021
The pavement inspection task, which mainly includes crack and garbage detection, is essential and carried out frequently. The human-based or dedicated system approach for inspection can be easily carried out by integrating with the pavement sweeping ...
Balakrishnan Ramalingam, Abdullah Aamir Hayat, Mohan Rajesh Elara, Braulio Félix Gómez, Lim Yi, Thejus Pathmakumar, Madan Mohan Rayguru, Selvasundari Subramanian   +7 more
doaj   +1 more source

Pavement distress detection using convolutional neural network (CNN): A case study in Montreal, Canada

International Journal of Transportation Science and Technology, 2022
Pavement distresses, including cracking and disintegration, deteriorate road user’s comfort, damage vehicles, increase evasive maneuvers, and increase emissions.
Ce Zhang, Ehsan Nateghinia, Luis F. Miranda-Moreno, Lijun Sun   +3 more
doaj   +1 more source

Attention‐Based Convolutional Neural Network for Pavement Crack Detection [PDF]

Advances in Materials Science and Engineering, 2021
Achieving high detection accuracy of pavement cracks with complex textures under different lighting conditions is still challenging. In this context, an encoder‐decoder network‐based architecture named CrackResAttentionNet was proposed in this study, and the position attention module and channel attention module were connected after each encoder to ...
Haifeng Wan, Lei Gao, Manman Su, Qirun Sun, Lei Huang   +4 more
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Cracking in asphalt materials [PDF]

, 2018
This chapter provides a comprehensive review of both laboratory characterization and modelling of bulk material fracture in asphalt mixtures. For the purpose of organization, this chapter is divided into a section on laboratory tests and a section on ...
AF Braham, Armelle Chabot, B Behnia, B Birgisson, B Delaporte, B Kim, BS Underwood, C Huet, D Bodin, D Bodin, Didier Bodin, DV Ramsamooj, Emmanuel Chailleux, Eshan V. Dave, Eshan V. Dave, Eshan V. Dave, F Dubois, F Dubois, F Dubois, F Jiang, GR Chehab, H Benedetto Di, H Benedetto Di, H Lemaistre, HJ Lee, HM Nguyen, J Mandel, JF Corte, JS Daniel, K Majidzadeh, Malcolm L. Williams, MJ Jacobs, MJ Lamborn, MP Wagoner, MP Wagoner, N Tapsoba, NH Gibson, R Roque, R Roque, R. A. Schapery, RA Schapery, RA Schapery, RA Schapery, S Ahmed, S Ahmed, S Ahmed, SH Song, Simon Pouget, SW Park, T Hou, Xinjun Li, YR Kim, YR Kim, YR Kim, YR Kim, Z Zhang, Z Zhang   +56 more
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End-to-End Pavement Crack Detection Method Based on Transformer

Taiyuan Ligong Daxue xuebao, 2022
Aiming at the problem of low detection accuracy caused by irregular crack shape and complex background in pavement crack detection scene, an end-to-end pavement crack detection method based on transformer, CrackFormerNet, was proposed.
Jun LIU, Huimin WANG, Xingzhong ZHANG, Ting ZHANG, Meiqing GUO   +4 more
doaj   +1 more source

Adaptive Road Crack Detection System by Pavement Classification

Sensors, 2011
This paper presents a road distress detection system involving the phases needed to properly deal with fully automatic road distress assessment. A vehicle equipped with line scan cameras, laser illumination and acquisition HW-SW is used to storage the digital images that will be further processed to identify road cracks.
Miguel Gavilán, David Balcones, Oscar Marcos, David F. Llorca, Miguel A. Sotelo, Ignacio Parra, Manuel Ocaña, Pedro Aliseda, Pedro Yarza, Alejandro Amírola   +9 more
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A Framework for Automated Pavement Condition Monitoring [PDF]

, 2016
Pavement condition monitoring is mainly performed manually. Inspectors are driving or walking the road network bare eyed to look for irregularities. Moreover, processing the collected data for understanding the road condition is also a manual task.
,, Brilakis, I, Doycheva, K, Koch, C, Radopoulou, SC   +4 more
core   +2 more sources

Automatic Pavement Crack Detection Fusing Attention Mechanism

Electronics, 2022
Pavement cracks can result in the degradation of pavement performance. Due to the lack of timely inspection and reparation for the pavement cracks, with the development of cracks, the safety and service life of the pavement can be decreased. To curb the development of pavement cracks, detecting these cracks accurately plays an important role.
Junhua Ren, Guowu Zhao, Yadong Ma, De Zhao, Tao Liu, Jun Yan   +5 more
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