Results 11 to 20 of about 131,408 (305)

Crack-pot: Autonomous Road Crack and Pothole Detection [PDF]

open access: yes2018 Digital Image Computing: Techniques and Applications (DICTA), 2018
With the advent of self-driving cars and autonomous robots, it is imperative to detect road impairments like cracks and potholes and to perform necessary evading maneuvers to ensure fluid journey for on-board passengers or equipment. We propose a fully autonomous robust real-time road crack and pothole detection algorithm which can be deployed on any ...
Sukhad Anand   +3 more
openaire   +2 more sources

DAUNet: Deep Augmented Neural Network for Pavement Crack Segmentation

open access: yesIEEE Access, 2021
Crack detection and measurement are essential tasks for maintaining and ensuring safety. Accurate crack detection is very challenging because of non-uniform intensity, poor continuity, and irregular patterns of cracks.
Vladimir Polovnikov   +3 more
doaj   +1 more source

Automatic Pavement Crack Detection and Classification Using Multiscale Feature Attention Network

open access: yesIEEE Access, 2019
Pavement crack detection and characterization is a fundamental part of road intelligent maintenance systems. Due to the high non-uniformity of cracks, topological complexity, and similar noise from crack texture, the challenge arises in this domain with ...
Weidong Song   +3 more
doaj   +1 more source

Double-Probe Ultrasonic Detection Method for Cracks in Steel Structure

open access: yesApplied Sciences, 2020
To investigate the feasibility analysis of ultrasonic detection methods applied in the fatigue crack characteristics of steel structures, the double-probe ultrasonic detection method was applied to the prefabricated crack specimens fabricated from of ...
Xin Chen   +4 more
doaj   +1 more source

Crack Defect Detection Processing Algorithm and Method of MEMS Devices Based on Image Processing Technology

open access: yesIEEE Access, 2023
In order to solve the problem that the crack defects generated on the surface of MEMS devices are difficult to detect under high overload impact, this paper proposes a crack detection method based on attribute weighted naive Bayes improved OTSU algorithm.
Yu Zheng   +3 more
doaj   +1 more source

Characteristics of a Cutoff Cavity Probe Applicable to Crack Detection Using the Forced Resonance Microwave Method [PDF]

open access: yesJournal of Electromagnetic Engineering and Science, 2020
This paper presents the current characteristics inside a cutoff cavity slot probe applied to crack detection using the forced resonance microwave method (FRMM). Crack detection using FRMM has two stages: preparation and detection.
Ki-Chai Kim   +3 more
doaj   +1 more source

Review of Pavement Defect Detection Methods

open access: yesIEEE Access, 2020
Road pavement cracks detection has been a hot research topic for quite a long time due to the practical importance of crack detection for road maintenance and traffic safety. Many methods have been proposed to solve this problem.
Wenming Cao, Qifan Liu, Zhiquan He
doaj   +1 more source

APLCNet: Automatic Pixel-Level Crack Detection Network Based on Instance Segmentation

open access: yesIEEE Access, 2020
The accurate and automatic detection of pavement cracks is essential for pavement maintenance. However, automatic crack detection remains a challenging problem due to the inconspicuous visual features of cracks in complex pavement backgrounds, the ...
Yuefei Zhang   +4 more
doaj   +1 more source

Innovative NDT technique for detection of surface cracks based on ferrofluids excited with DC and AC magnetic fields [PDF]

open access: yes, 2015
Innovative NDT technique for detection of surface cracks based on ferrofluids excited with DC and AC magnetic fieldsAn innovative NDT technique is proposed for surface inspection of materials not necessarily magnetic or conductive, based on local ...
Cabrera, Blai   +5 more
core   +2 more sources

Automated bridge crack detection method based on lightweight vision models

open access: yesComplex & Intelligent Systems, 2022
Deep learning-based bridge crack detection methods have advantages over traditional methods. We proposed an automated bridge crack detection method using lightweight vision models.
Jian Zhang, Songrong Qian, Can Tan
doaj   +1 more source

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