Detection of Defects in Road Surface by a

Detection of Defects in Road Surface by a Vision System

In a road maintenance management system, the assessment of road surface distresses is one of the important tasks for developing repair and maintenance strategies.

Detection of defects in road surface by a vision system ...

May 07, 2008 · Detection of defects in road surface by a vision system Abstract: This paper presents a real-time method for crack detection used in our apparatus of road characterisation - AMACreg. The method based on a set of image processing tasks : bi-level thresholding, morphological operation, and …

Cited by: 55

Road defects detection - Deep Systems / Artificial ...

LONG ROADS, BIG PROBLEMS

Detection of Defects in Road Surface by a Vision System

the past, the detection of road defects was done visually. by a technician driving along the road at speed of 5 to 10. kilometers per hour using an on board data acquisition device. By this way, vehicule speed of the data acquisition, the safety. of qualified staff and road users were not satisfied at all. [1].

Cited by: 55

[hal-00666928, v1] Detection of Defects in Road Surface …

the past, the detection of road defects was done visually by a technician driving along the road at speed of 5 to 10 kilometers per hour using an on board data acquisition device.

Detection of Defects in Road Surface by a Vision System - …

International audienceThis paper presents a real-time method for crack detection used in our apparatus of road characterisation - AMAC . The method based on a set of image processing tasks : bi-level thresholding, morphological operation, and projection.

Road defects detection - Deep Systems / Artificial ...

Road surface diagnosis. The task of an operator is manual digitization of defects of road surface. Armed with a keyboard, mouse, and specialized software, operators must specify (ie circle) all defects in the target road section. Imagine, how people encircle patches and holes on the roads. Well, it …

Detection of Defects in Road Surface by a Vision System - …

Detection of Defects in Road Surface by a Vision System . By Tien Sy Nguyen, Manuel Avila, Stéphane Begot and Jean-Christophe Bardet. Abstract. International audienceThis paper presents a real-time method for crack detection used in our apparatus of road characterisation - AMAC . The method based on a set of image processing tasks : bi-level ...

Detection of defects in road surface by a vision system

This paper presents a real-time method for crack detection used in our apparatus of road characterisation - AMACreg. The method based on a set of image processing tasks : bi-level thresholding, morphological operation, and projection.

Rapid Detection Methods for Asphalt Pavement Thicknesses ...

The thickness estimation of the top surface layer and surface layer, as well as the detection of road defects, are of great importance to the quality conditions of asphalt pavement.

Automatic Road Defect Detection by Textural Pattern ...

Sep 23, 2011 · Abstract: The state of roads is continuously degrading due to meteorological conditions, ground movements, and traffic, leading to the formation of defects, such as grabbing, holes, and cracks. In this article, a method to automatically distinguish images of road surfaces with defects from road surfaces without defects is presented.

Automatic defect detection on road pavement using ...

Defect detection on pavement surface is a difficult prob- lem due to the noisy pavement surfaces [5]. There are differ- ent types of texture that can be encountered on road pave- ments. Furthermore, by traffic effects, pavement texture varies on different zones of the image.

GitHub - abin24/Surface-Inspection-defect-detection ...

Mar 20, 2019 · This project include several different surfaces, each surface contains one or several defects. For segmentation,object detection, saliency detection,etc - abin24/Surface-Inspection-defect-detection-dataset

Deep Active Learning for Civil Infrastructure Defect ...

of an automatic defect detection system. A deep residual network (ResNet) is designed as the classifier for detection and classification of defects in an input image patch. Following an AL framework, this network is then trained as soon as the initial set of labeled data becomes available.

On road defects detection and classi cation - CEUR …

the road surface occur defects. Engineers are commonly used to collect pavement surface distress data, during periodic road surveys, but it takes a lot of time and manpower. In this paper, we present our automatic de-fects detection and classi cation on road pavement method. eW suggest

Detection of Road Surface Identifiers Based on Deep …

Detection of Road Surface Identifiers Based on Deep Learning . Feng Zhang. a, *, Xiaoyu Wu. b, Chaonan Gu. c. Communication University of China, ... are still some defects in real-time and accuracy. The contribution of this paper is to use the self-built road marking database including the road

INTELLIGENT ROAD MAINTENANCE: A MACHINE …

and related surface defects. The images that we use in this study are captured using commodity cameras mounted on pedelecs and e-bikes. We propose that an intelligent road surface defect detection system can improve the effectiveness of maintenance and decrease manual labour associated with the inspection of road conditions.

CrackIT Project Detection of Road Surface Defects

the detection and characterization of road pavement surface defects. We are seeking for motivated researchers that hold an MSc engineering degree. There is the possibility to join a PhD program in Electrical and Computer Engineering. The candidates

Underground sewer pipe condition assessment based on ...

Zhang proposed a quantitative evaluation of road defect detection was implemented using a dataset of 500 3264 × 2448 images and achieved an accuracy of over 90%. Moselhi and Tariq [ 14 ] applied a three-layer neural network combined with a back-propagation algorithm to classify four types of sewer defects.

Machine learning algorithms application to road defects ...

In fact, there are various methods for road defects detection based on color based features analysis in , on the basis of thresholds analysis , and based on the structural characteristics of the images . There are many different approaches for the detection of defects in the road surface.