scholarly journals An Automatic Detection by Classification of Cracked Pixels or Noncracked Pixels in Road Surface

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Khaddouj Taifi ◽  
Naima Taifi ◽  
Es-said Azougaghe ◽  
Said Safi
Keyword(s):  
Wavelet Transforms ◽  
Crack Detection ◽  
Automatic Detection ◽  
Detection Algorithm ◽  
Essential Elements ◽  
Road Surface ◽  
Discrete Wavelet ◽  
Second Phase ◽  
The Road

Automatic detection and monitoring of the condition of cracks in the road surface are essential elements to ensure road safety and quality of service. A crack detection method based on wavelet transforms (2D-DWT) and Jerman enhancement filter is used. This paper presents different contributions corresponding to the three phases of the proposed system. The first phase presents the contrast enhancement technique to improve the quality of roads surface image. The second phase proposes an effective detection algorithm using discrete wavelet (2D-DWT) with “db8” and two-level sub-band decomposition. Finally, in the third phase, the Jerman enhancement filter is usually used with different parameters of the control response uniformity “ τ ” to enhance for cracks detection. The experimental results in this article provide very powerful results and the comparisons with five existing methods show the effectiveness of the proposed technique to validate the recognition of surface cracks.

scholarly journals CNN-Based Road-Surface Crack Detection Model That Responds to Brightness Changes

Electronics ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1402
Author(s):  
Taehee Lee ◽  
Yeohwan Yoon ◽  
Chanjun Chun ◽  
Seungki Ryu
Keyword(s):  
Surface Crack ◽  
Autonomous Vehicles ◽  
Crack Detection ◽  
Model Performance ◽  
Semantic Segmentation ◽  
Road Surface ◽  
Image Brightness ◽  
The Road ◽  
Detection Model ◽  
Artificial Intelligence Models

Poor road-surface conditions pose a significant safety risk to vehicle operation, especially in the case of autonomous vehicles. Hence, maintenance of road surfaces will become even more important in the future. With the development of deep learning-based computer image processing technology, artificial intelligence models that evaluate road conditions are being actively researched. However, as the lighting conditions of the road surface vary depending on the weather, the model performance may degrade for an image whose brightness falls outside the range of the learned image, even for the same road. In this study, a semantic segmentation model with an autoencoder structure was developed for detecting road surface along with a CNN-based image preprocessing model. This setup ensures better road-surface crack detection by adjusting the image brightness before it is input into the road-crack detection model. When the preprocessing model was applied, the road-crack segmentation model exhibited consistent performance even under varying brightness values.

scholarly journals A novel method to detect foreground region using morphological operations with block based enhancement for underwater images

2018 ◽  
Vol 7 (3) ◽  
pp. 1751
Author(s):  
M Sudhakar ◽  
M Janaki Meena
Keyword(s):  
Wavelet Transforms ◽  
Detection Algorithm ◽  
Discrete Wavelet ◽  
Morphological Operations ◽  
Underwater Image ◽  
Foreground Region ◽  
Fuzzy C Means Clustering ◽  
Sobel Edge Detection ◽  
Block Based ◽  
Light Color

Automation of detecting the Foreground Region (FR) or Shape of the object is essential in several computer vision, object recognition applications and poses several challenges in case of underwater images. Although Synthetic Sonar Images produce better quality images scattering of light, color distortion and poor lighting conditions are the few characteristics that effects the natural scene of the captured image. A novel technique for extracting the foreground region from a low quality underwater image is presented in this paper. We have decomposed the image in to multiple levels based on discrete wavelet transforms (DWT) for improving the sharpness or to reduce the fogginess in the image in order to get the clear image. Subsequently, to determine the sharpness of the local patches in the image a block based SSI algorithm is presented. Finally, the segmentation is performed by computing the binary gradient mask with the Sobel edge detection algorithm along with morphological operations. The proposed method is fast, extracting the accurate foreground regions and also detect the smallest particles present in the image. The results are qualitatively compared with the improved fuzzy c-means clustering (FCM), Otsu’s Threshold and FCM thresholding by considering the static background images. 

scholarly journals TINJAUAN UMUR RENCANA JALAN PADA TAHUN KE 3 TERHADAP PENURUNAN KINERJA JALAN

Teras Jurnal ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 71
Author(s):  
Adzuha - Desmi
Keyword(s):  
Transportation Network ◽  
Road Surface ◽  
Transportation Infrastructure ◽  
The Road ◽  
The Third ◽  
Marshall Test ◽  
Road Performance ◽  
On The Road ◽  
The Relationship

<p align="center"><strong><em>Abstract</em></strong></p><p>Highway is a land transportation infrastructure that forms a transportation network to connect an area to other regions, so that the wheels of the economy and development can rotate well. This research was based on the road age of the third year of the road Krueng Geukueh - Beureughang, so the researchers wanted to know what factors were the causes of performance degradation on the road and the relationship between the decline in road performance on the material used. In this study includes 3 stages, namely, Core drill, Marshall Test testing and testing of Test Extracts that have been achieved using 8 (Eight) samples. So it can be concluded that there has been a decrease in asphalt levels on the road resulting in damage and decreased performance on the road. Coupled with increased charges within 3 (three) years, therefore repairs to the road are needed. From this research, it is expected to be able to provide input to improve the quality of the material and the layer of road surface pavement.</p><p> </p><strong><em>Keywords :   Decreasing Road Performance, Core Drill,  Marshall Test, Test Extract,  Asphalt Level.</em></strong>

scholarly journals DEVELOPMENT OF AN APPROACH TO DETERMINATION OF COUPLING QUALITIES OF ROAD COVERING USING WEATHER-CLIMATE FACTOR

2020 ◽  
pp. 1-7
Author(s):  
Anastasia Shevtsova ◽  
Alexander Novikov
Keyword(s):  
Road Safety ◽  
Traffic Management ◽  
Traffic Accidents ◽  
Road Surface ◽  
Climate Factor ◽  
The Road ◽  
Weather And Climate ◽  
Object Of Study

Assessing the grip of the road surface is an extremely important task both in the field of traffic management, and in the field of investigation and examination of traffic accidents. The coupling quality of the road surface is fully ensured by the grip coefficient, which is subject to constant monitoring in order to ensure road safety. There are a large number of methods for determining the magnitude of the grip coefficient. In their study, the authors propose an improved approach for determining the investigated value using the weather and climate factor. Previously, a group of researchers in the course of scientific research determined the dependence of the grip coefficient on the temperature of the road surface, as a result of mathematical analysis, the authors obtained a dependence that allows to determine the studied value by air temperature and the condition of the road surface (presence of precipitation). The performed experiment allowed us to test the obtained dependence within the framework of the object of study and to make a comparative assessment of the results obtained with the data obtained using the road laboratory.

Application of microwave Doppler displacement sensors in anti-lock braking system

2021 ◽  
pp. 43-48
Author(s):  
Dmitry V. Khablov
Keyword(s):  
Distribution System ◽  
Wheel Speed ◽  
Road Surface ◽  
The Road ◽  
Braking System ◽  
Speed Sensor ◽  
Displacement Sensors ◽  
Braking Distance ◽  
Braking Force

The issues of optimization of the vehicle anti-lock braking system are considered. To increase the reliability of the system, it is proposed to use a brake distribution system adaptive to the quality of the road surface for a quick stop of the vehicle while maintaining controllability. The system together with sensors angular wheel speed included a microwave Doppler displacement and speed sensor. The use of the specified Doppler sensor made it possible to achieve a more accurate coincidence of the dependence of the braking force on the degree of adhesion of the wheels to the road surface by monitoring the ratio between the angular and linear speeds of movement. In this way, it was possible to minimize the braking distance of the vehicle while maintaining controllability under various driving conditions.

scholarly journals INVESTIGATION INTO THE STABILITY OF DRIVING AN AUTOMOBILE ON THE ROAD PAVEMENT WITH RUTS

Transport ◽  
2009 ◽  
Vol 24 (2) ◽  
pp. 170-179 ◽  
Author(s):  
Vidmantas Vansauskas ◽  
Marijonas Bogdevičius
Keyword(s):  
Mathematical Model ◽  
Mathematical Simulation ◽  
Road Safety ◽  
Road Surface ◽  
First Line ◽  
The Road ◽  
Road Pavement ◽  
On The Road ◽  
The Stability

The article reviews the stability of an automobile on the road pavement with ruts. The problems of road safety depend on many factors. One of those is the quality of the road surface. Big heavy lorries deform the road surface causing ruts especially in the first line of the road. The article analyzes the influence of the geometry of ruts on the stability of the automobile. A mathematical model of a 3D automobile and the interaction between wheels and the road surface and the geometry of the road surface are presented. The mathematical criterion of the stability of the moving automobile on the road surface with ruts is laid down. The results of mathematical simulation and the criterion of the stability of the moving automobile (60 km/h) on the road surface depending on the depth of ruts are introduced.

Study on Soft Foundation Settlement Analysis and Treatment of Bridge-Head

2013 ◽  
Vol 779-780 ◽  
pp. 632-635 ◽  
Author(s):  
Hong Li Zhao ◽  
Zhen Jiang Hui ◽  
Jie Lin
Keyword(s):  
Effective Stress ◽  
Negative Pressure ◽  
Road Surface ◽  
Foundation Settlement ◽  
The Road ◽  
Soft Foundation ◽  
Road Performance ◽  
The Stability ◽  
Settlement Analysis

In recent years, the construction of roads and bridges in China has been made remarkable achievements; the construction quality and road performance have been greatly improved. But the soft foundation settlement processing still prevents the quality of driving from improving. The improper handling of soft foundation settlement would result in vehicle bump at bridge head, and cause damage to the road surface of the bridge and telescopic device. On the principle of effective stress of the soil, a method is used to accelerate the foundation settlement in the negative pressure zone, and it has effectively reduced the differential settlement of bridge-head which improves the stability of roadbed.

scholarly journals Change Detection Algorithm Based on Discrete Wavelet Transforms and Neighborhood Fuzzy C-Means

2018 ◽  
Vol 36 (3) ◽  
pp. 426-431
Author(s):  
Fengping Wang ◽  
Weixing Wang ◽  
Ting Gao ◽  
Weiwei Chen ◽  
Hongxia Li
Keyword(s):  
Remote Sensing ◽  
Wavelet Transforms ◽  
Detection Probability ◽  
Detection Algorithm ◽  
Spatial Distance ◽  
Ratio Method ◽  
Discrete Wavelet ◽  
Forest Change ◽  
Distance Information ◽  
Ratio Image

A new algorithm on Discrete Wavelet Transform (DWT) and neighborhood FCM is proposed to detect change area from remote sensing image. First, the subtraction and ratio image are obtained by the subtraction and ratio method from the two registered remote sensing images; Then, the DWT is applied to the subtraction and ratio image, the region intensity-based and energy-based fusion rules is adopted to the low frequency and high frequency wavelet coefficients, and the inverse DWT is used to obtain the final difference image; At last, the neighborhood FCM is carried out to get the change areas, the spatial distance information and gray difference information are considered in the objective function of FCM, which could avoid misclassification and enhance the detection probability. Experimental results show that the proposed algorithm has strong ability to suppress noise and good detection results; the detection probability of unban change area can reach to 98.45%, whereas, the detection probability is up to 87.5% for the discontinuous forest change area.

scholarly journals ROAD CRACK DETECTION USING GAUSSIAN/PREWITT FILTER

2019 ◽  
Vol XLII-4/W18 ◽  
pp. 371-377
Author(s):  
S. A. Fakhri ◽  
S. A. Fakhri ◽  
M. Saadatseresht
Keyword(s):  
Random Forest ◽  
Crack Detection ◽  
Transport Systems ◽  
Road Maintenance ◽  
Simple Method ◽  
Intelligent Transport ◽  
The Road ◽  
Automatic Methods ◽  
Manual Methods

Abstract. Crack is one of the main problems of roads that can reduce the quality of the road or put it in danger in terms of safety. These cracks are needed to be identified first in order to be investigated and followed up. So detecting cracks is one of the most important parts of the road maintenance procedures, which has been considered in recent years. On the other hand, traditional manual methods of crack detection are very time-consuming and dangerous. It is timely because human resources must have thorough and accurate road visits and examine their qualitative status. For this reason, the automatic methods are utilized instead of these methods to increase the speed and reliability of the crack analysis in intelligent transport systems. A simple method is used in this research to detect the crack. Based on the proposed method, a softening filter is applied first on the image to reduce the noise, and then an edge detection filter is applied to the image. Generally, the noise still exists in the image after applying these filters. A window is used here that scans all the image and calculates the average standard deviation for all the pixels in each window, and removes the noise by considering a range. Then the process of removing noise is done with more stringency by reducing the search window in each iteration. Finally, this method was compared with one of the most prominent and modern methods of detecting cracks using a random forest method and the results indicated that despite the simplicity and the speed of the existing method in this study, it has an acceptable performance compared to the manual and random forest methods.

scholarly journals The roads of Pskov borderlands of the XVII centuries: from Pskov to Narva

2021 ◽  
pp. 58-77
Author(s):  
Maksim Yur'evich Kolpakov
Keyword(s):  
Road Network ◽  
Travel Speed ◽  
Road Surface ◽  
Average Speed ◽  
The Road ◽  
Everyday Activities ◽  
Road Signs ◽  
Trunk Road ◽  
History Of

This article traces the history of the development and operation of trunk road from Pskov through Gdov, to Ivangorod and Narva, which was actively used during the pre-Petrine era. This route can be viewed as one of the typical examples of the Pskov border road. Written and visual sources of the XVII century allow reconstructing the isolated sections of the road, estimating the quality of road surface and infrastructure, and characterizing everyday activities of the travelers. The texts of the report compiled by the Dutch envoy Albert Joachim (1616), schedule of routs from Pskov of 1656, &ldquo;Notes about Russia&rdquo; of Erich Palmquist (1674), and &ldquo;Diary Notes&rdquo; of the General von Allart (1700) served as the sources for this research. The travel from Pskov to Narva took traditional (long) route and two short roads. Travelers faced multiple difficulties common to the borderland roads &ndash; poor condition of road surface, lack of accommodation, absence of road signs, rough weather, threat to health and property. The maximum average travel speed on the known road was 61 verst (65.07 km) per day. The typical average speed of a summer trip was 30 verst (32 km) per day. From December to March, most commodities were transported between the cities by sledge. The road network of the Pskov borderlands was more adapted for winter trips.

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