0000000000310112

AUTHOR

Kelvin C. P. Wang

showing 2 related works from this author

Hybrid Procedure for Automated Detection of Cracking with 3D Pavement Data

2016

Pavement cracks are considered a major indicator of pavement performance. Because traditional manual crack surveys are dangerous, time consuming, and expensive, technologies have been developed to collect high-speed pavement images, and numerous algorithms have been proposed to detect cracks on pavement surface. The latest PaveVision3D Ultra system (3D Ultra) has been implemented to achieve 30-kHz three-dimensional (3D) scanning rate for 1-mm resolution pavement surface data at highway speed up to 100 km/h (60  mi/h). This paper presents the application of a hybrid procedure for automated crack detection on 3D pavement data collected using 3D Ultra. The procedure combines three different me…

EngineeringSpeedup0211 other engineering and technologies02 engineering and technologyMinimum spanning treeEdge (geometry)Minimum spanning treeThree-dimensional (3D) pavement dataTensor votingCrack detection; Matched filtering; Minimum spanning tree; Tensor voting; Three-dimensional (3D) pavement data; Civil and Structural Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition021105 building & construction0502 economics and businessThree dimensional dataSettore ICAR/04 - Strade Ferrovie Ed AeroportiCivil and Structural Engineering050210 logistics & transportationbusiness.industry05 social sciencesDetectorComputer Science Applications1707 Computer Vision and Pattern RecognitionStructural engineeringMatched filteringComputer Science ApplicationsCrackingCrack detectionTensor votingbusiness
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Automatic Segmentation and Enhancement of Pavement Cracks Based on 3D Pavement Images

2019

Pavement cracking is a significant symptom of pavement deterioration and deficiency. Conventional manual inspections of road condition are gradually replaced by novel automated inspection systems. As a result, a great amount of pavement surface information is digitized by these systems with a high resolution. With pavement surface data, pavement cracks can be detected using crack detection algorithms. In this paper, a fully automated algorithm for segmenting and enhancing pavement crack is proposed, which consists of four major procedures. First, a preprocessing procedure is employed to remove spurious noise and rectify the original 3D pavement data. Second, crack saliency maps are segmente…

Economics and Econometricspavement condition assessmentArticle SubjectComputer scienceStrategy and Management0211 other engineering and technologies02 engineering and technologyTensor votingpavement condition assessment; crack detectionAsphalt pavement021105 building & construction0502 economics and businessSettore ICAR/04 - Strade Ferrovie Ed AeroportiPreprocessorComputer visionSpurious relationship050210 logistics & transportationbusiness.industrycrack detectionMechanical Engineering05 social scienceslcsh:TA1001-1280Condition assessmentlcsh:HE1-9990Computer Science ApplicationsCrackingAutomotive EngineeringAutomatic segmentationNoise (video)Artificial intelligencelcsh:Transportation engineeringlcsh:Transportation and communicationsbusinessJournal of Advanced Transportation
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