Pothole Detection using Computer Vision and Raspberry Pi

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ID: 312957
2024
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Abstract
One of the main reasons for the number of potholes rising overtime is the poor road-maintenance system along with aging roads with no maintenance. This then jeopardizes road safety as well as transport efficiency, resulting in being the lead cause of car accidents. To address the problems associated with potholes the size and location should be determined. Efficient road-maintenance strategies require a pothole database, incorporating a specific pothole detection system that can collect information at low cost and cover a wide area. However, pothole detection encompasses prolong manual steps of detection. Recently made, pothole detection systems using vibration or laser scanning are not only unstable but result in accurate detection as well as are expensive respectively. Thus, in this paper, we introduce a newly efficient way for pothole detection A Night Vision camera not only detects potholes over a wide area at low cost but also owns a novel pothole detection algorithm that has been specifically designed to work with the embedded computing environment of the camera. Our system shows experimental results which prove that our system successfully detects potholes in real-time.
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imported_1777058063_69ebc10f94331 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Muhammad Salik Salam
Journal Journal of Computing & Biomedical Informatics
Year 2024
DOI
DOI not found
URL
https://jcbi.org/index.php/Main/article/view/515
Keywords Keywords not found

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