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Intelligent Pothole Detection and Road Condition Assessment [article]

Umang Bhatt, Shouvik Mani, Edgar Xi, J. Zico Kolter
2017 arXiv   pre-print
To address this issue, we developed a system to detect potholes and assess road conditions in real-time.  ...  To assess roads using this sensor data, we trained SVM models to classify road conditions with 93% accuracy and potholes with 92% accuracy, beating the base rate for both problems.  ...  While the previous apps were developed to collect training data, this app can be used to assess road conditions and detect potholes in the real world.  ... 
arXiv:1710.02595v2 fatcat:aj7k6yl3ovd7bamqhmqgvavjsq

Detection of Pothole by Image Processing Using UAV

2020 Journal of science and technolgy  
Thus, detecting and repairing of potholes on road is major challenge for in ITS (Intelligent Transportation System) service and road management system.  ...  A model of potholes is constructed using the image library, which is used in an algorithmic approach that combines a live road footage and simultaneously detection of potholes using simple image processing  ...  Sadly, because of shy examination and condition assessment this technique had some tragic consequences in India.  ... 
doi:10.46243/jst.2020.v5.i3.pp101-110 fatcat:npg4usuvwjhqdbhjckqggmubeq

Road Hazard Assessment Using Pothole and Traffic Data in South Korea

Choong Heon Yang, Jin Guk Kim, Sung Pil Shin, Yuchuan Du
2021 Journal of Advanced Transportation  
To demonstrate the proposed risk hazard assessment methodology, road hazards were assessed along specific test road sections based on observed pothole and historical travel speed data.  ...  In this study, the road hazard index is proposed using smartphone-obtained pothole and traffic data to represent the level of risk due to road surface conditions.  ...  Acknowledgments is study was supported by a Korea Agency for Infrastructure Technology Advancement (KAIA) grant funded by the Korean Government (no. 20POQW-B148886-03, Commercial Vehicle-Based Road and  ... 
doi:10.1155/2021/5901203 fatcat:r2hdwgsfhvalnemeyv56fzny6m

An Intelligent System to Detect, Avoid and Maintain Potholes: A Graph Theoretic Approach [article]

Shreyas Balakuntala, Sandeep Venkatesh
2013 arXiv   pre-print
Moreover, the system helps the driver to detect the level of damage to the road stretch and route the vehicle from an alternative path to its destination.  ...  The system sends a feedback to the concerned authorities for a quick response to the condition of the roads.  ...  Detecting Potholes on roads with the help of intelligent systems is a very well-studied problem.  ... 
arXiv:1305.5522v3 fatcat:iibo7eblevcevhu7z6lxxk65f4

Learning to Automatically Catch Potholes in Worldwide Road Scene Images

J. Javier Yebes, David Montero, Ignacio Arriola
2020 IEEE Intelligent Transportation Systems Magazine  
Our research work tackled the challenge of pothole detection from images of real world road scenes.  ...  They contained road scenes from different cities in the world, taken with different cameras, vehicles and viewpoints under varied environmental conditions.  ...  One of the early research approaches consisted on road condition assessment using hyperspectral aerial imagery [20] .  ... 
doi:10.1109/mits.2019.2926370 fatcat:4e7krkk3gzgftb6aswbvibup5i

ROAD MONITORING SYSTEM BASED ON IOT TECHNOLOGY FOR SMARTCITY

Anton Кopiika, Roman Piskun, Valentyna Tkachenko, Iryna Klymenko
2020 Information, Computing and Intelligent systems  
It will be shown our device for detecting potholes on the road, which can be used, as a part of the IoT system of SmartCity. It uses data from an accelerometer for finding road bumps.  ...  This paper provides a survey of different known techniques and algorithms of finding potholes on the road and describe our own method, using accelerometer.  ...  To solve this problem, we considered and analyzed the algorithms for assessing the quality of the road surface and marking road sections by quality and create own algorithm based on known systems.  ... 
doi:10.20535/2708-4930.1.2020.216061 fatcat:5dsjzcpdzngvjc5bci24f2tkuq

Road Anomalies Detection Using Basic Morphological Algorithms

Dalia Danilescu, Alexandru Lodin, Lăcrimioara Grama, Corneliu Rusu
2015 Carpathian Journal of Electronic and Computer Engineering  
Abstract—In this paper some approaches for pothole detection of roads, using morphological algorithms, are recalled and tested.  ...  For road anomalies detection, one of the key elements is the pavement pothole information.  ...  ACKNOWLEDGMENT The work of the first author was partially supported by the POSDRU/159/1.5/S/137516 -Human Resources Development Programme financed by the European Social Fund and by the Romanian Government  ... 
doaj:8b0adca8e551462f897f0d7887051b31 fatcat:3j5rz4on5vhtriey54c2pbfcz4

Road Condition Monitoring Using Smart Sensing and Artificial Intelligence: A Review

Eshta Ranyal, Ayan Sadhu, Kamal Jain
2022 Sensors  
Road condition monitoring (RCM) has been a demanding strategic research area in maintaining a large network of transport infrastructures.  ...  The majority of these technologies employ next-generation distributed sensors and vision-based artificial intelligence (AI) methodologies to evaluate, classify and localize pavement distresses using the  ...  This research is also supported by the Ontario Ministry of Colleges and Universities' Early Researcher Award funding provided to the corresponding author.  ... 
doi:10.3390/s22083044 pmid:35459034 pmcid:PMC9029655 fatcat:pqrm3lcihzfv5n6ojjvxg7plkq

Efficient pothole detection using smartphone sensors

Kshitij Pawar, Siddhi Jagtap, Smita Bhoir, M.D. Patil, V.A. Vyawahare
2020 ITM Web of Conferences  
The results indicate that the method is suitable for creating an accurate and sensitive supervised model for pothole detection.  ...  Road safety remains a casualty in India, with potholes wrecking asphalt pavements by the dozens.  ...  Intelligent Pothole Detection and Road Condition Assessment [6] Bhatt et al, in their paper provide a solution to detect road conditions by capturing data on a car's movement from accelerometer and gyroscope  ... 
doi:10.1051/itmconf/20203203013 fatcat:6ixox6shtbd3hm3qrc2mhxuxg4

PAVEMENT DISTRESS DETECTION WITH PICUCHA METHODOLOGY FOR AREA-SCAN CAMERAS AND DARK IMAGES

Reus Salini, Bugao Xu, Paulius Paplauskas
2017 Civil Engineering Journal  
The PICture Unsupervised Classification with Human Analysis (PICUCHA) refers to a hybrid human-artificial intelligence methodology for pavement distresses assessment.  ...  Those problems are especially visible when two or more images are assembled together and generate an extra challenge for the distresses detection by software.  ...  A maximum grade principle and a defuzzified weighted cumulative index are proposed to assess the condition of a road [7] .  ... 
doi:10.14311/cej.2017.01.0004 fatcat:x3mystxjfna3re33nesnn55o2a

Image-Based Pothole Detection System for ITS Service and Road Management System

Seung-Ki Ryu, Taehyeong Kim, Young-Ro Kim
2015 Mathematical Problems in Engineering  
Thus, accurately and quickly detecting potholes is one of the important tasks for determining proper strategies in ITS (Intelligent Transportation System) service and road management system.  ...  In this study, a pothole detection method based on two-dimensional (2D) images is proposed for improving the existing method and designing a pothole detection system to be applied to ITS service and road  ...  A 2D image-based approach has been focused only on pothole detection and is limited to a single frame, so it cannot determine the magnitude of potholes for assessment.  ... 
doi:10.1155/2015/968361 fatcat:n55fbejgtfh6peyrw562ywesee

Pothole Dection Syatem in Vehicle

Sabarikanth K.K.
2021 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
In India major road accident is based on potholes. To identify this potholes and humps in roads may reduces the road accident and also reduces the damages in cars and bike.  ...  Here the arduino board is used for the power supply and programs, so this project reduces the accident occurs in the road due to holes and humps.  ...  Potholes and humps are detected using ultrasonic sensors, which can also be used to assess their depth and height.  ... 
doi:10.35940/ijitee.h9249.0610821 fatcat:jt56f7cbsngk7oe3bjrbwyx24a

Computer-Aided Road Inspection: Systems and Algorithms [article]

Rui Fan, Sicen Guo, Li Wang, Mohammud Junaid Bocus
2022 arXiv   pre-print
Then, 2-D/3-D road imaging systems are discussed. Finally, state-of-the-art machine vision and intelligence-based road damage detection algorithms are introduced.  ...  Road damage is an inconvenience and a safety hazard, severely affecting vehicle condition, driving comfort, and traffic safety.  ...  Introduction The condition assessment of concrete and asphalt civil infrastructures (e.g., tunnels, bridges, and pavements) is essential to ensure their serviceability while still providing maximum safety  ... 
arXiv:2203.02355v1 fatcat:gkggg7qjirge7lngq5wrdi57j4

Pothole Detection and Reporting System

Yash Raut
2021 International Journal for Research in Applied Science and Engineering Technology  
Government bodies which consist of engineers and workers are responsible to detect damages on roads and fix those damages.  ...  The study focuses on collecting and analyzing the datasets of potholes that are clicked by the users and detection of a pothole in that image via the TensorFlow Lite Model.  ...  to assess road surface conditions.  ... 
doi:10.22214/ijraset.2021.37479 fatcat:wrkqtmfqhfcebgvr6lgadgb3xm

An Asphalt Damage Dataset and Detection System Based on RetinaNet for Road Conditions Assessment

Gilberto Ochoa-Ruiz, Andrés Alonso Angulo-Murillo, Alberto Ochoa-Zezzatti, Lina María Aguilar-Lobo, Juan Antonio Vega-Fernández, Shailendra Natraj
2020 Applied Sciences  
This dataset is composed of 18,345 road damage images captured by a mobile phone mounted on a car, with 45,435 instances of road surface damages (linear, lateral, and alligator cracks; potholes; and various  ...  However, the artificial intelligence algorithms that power these computer vision acquisition systems have been rather limited owing to the scarcity of large and homogenized road damage datasets.  ...  Benedetto from Universita de Roma 3 (Italy) for his support with some road images to augment the UT dataset (Japan).  ... 
doi:10.3390/app10113974 fatcat:5kmrd4be7fftxa7uefznsbxeji
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