Book ChapterDOI
Development of Roads Pothole Detection System Using Image Processing
Harshad Sawalakhe,Ramchandran Prakash +1 more
- pp 187-195
TLDR
An embedded system is designed to detect pothole from images of the road and sends the GPS location to road maintenance authority crew server and upload it in Google map.Abstract:
Driving a vehicle on the roads, it is required to consider many parameters of roads which include distress like potholes, crack, patches size of road. Road conditions influence the comfort and safety of people who are sitting in the vehicle. Detection of pothole helps for early warning to the driver and assessment to the road maintenance authority. The position and structure of pothole can be shared with road maintenance authority. In this paper, an embedded system is designed to detect pothole from images of the road and sends the GPS location to road maintenance authority crew server and upload it in Google map. This system designed on small single-board computer Raspberry Pi in which it uses the computer vision library for processing the input video which is taken from a camera and identifications of road pothole present.read more
Citations
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Journal ArticleDOI
Towards the design of vision-based intelligent vehicle system: methodologies and challenges
Proceedings ArticleDOI
Algorithm for Automatic Crack Analysis and Severity Identification
TL;DR: A crack interpretation algorithm is proposed to extract crack geometrical attributes and support the decision maker to maintain, apply regularly check-ups over concrete structures and assist engineers to take fast decisions.
Book ChapterDOI
An Efficient Algorithm for Detecting and Measure the Properties of Pothole
TL;DR: This paper focused on an efficient methodology for pothole detection by Input images captured by camera, which captures the side view or front view of the road, then by converting the same image into its bird’s-eye view to see the image from top.
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Three combination value of extraction features on GLCM for detecting pothole and asphalt road
TL;DR: A method for detecting road potholes using the Gray-Level Cooccurrence Matrix with three features and using the Support Vector Machine as a classification method is proposed and the combination of GLCM Contrast, Correlation, and Dissimilarity features had the best accuracy.
Book ChapterDOI
A crowdsensing-based platform for transportation infrastructure monitoring and management in smart cities
TL;DR: In this paper , the authors present a software platform to analyze and manage the crowdsensing data collected from moving vehicles, which includes a database to store the data, algorithms that are integrated for data analysis, and a web-based interactive system for visualization.
References
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Proceedings ArticleDOI
Pothole Detection and Warning System: Infrastructure Support and System Design
TL;DR: A novel Wi-Fi based architecture for Pothole Detection and Warning System which assists the driver in avoiding potholes on the roads by giving prior warnings and can be integrated in the vehicle so as to alarm the driver.