Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/4366
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dc.contributor.authorKumar, Deepak-
dc.contributor.authorKamalapuri, Amar-
dc.contributor.authorChoudhury, Nehal-
dc.contributor.authorMukherjee, Shyamapada-
dc.date.accessioned2024-02-02T12:52:14Z-
dc.date.available2024-02-02T12:52:14Z-
dc.date.issued2023-12-
dc.identifier.citationIEEE International Conference on Modelling Simulation & Intelligent Computing (MoSICom 2023), BITS Pilani, Dubai, 07-09 December 2023en_US
dc.identifier.urihttp://hdl.handle.net/2080/4366-
dc.descriptionCopyright belongs to proceeding publisheren_US
dc.description.abstractIndia has an extensive road network that becomes degraded over time, causing potholes and other hazardous condi­tions for drivers. Potholes can cause physical injury and vehicle damage, so their detection is crucial. While some existing systems help drivers identify potholes, they lack precise localization and are location-dependent. In this paper, a cost-effective solution that utilizes mobile phone cameras and a deep neural network (Single Shot MultiBox Detector with MobileNet) for real-time pothole detection and localization is presented. The system alerts drivers about detected potholes instantly and achieved good mean Average Precision. Our solution aims to improve road safety and minimize vehicle damage.en_US
dc.subjectPotholesen_US
dc.subjectDetectionen_US
dc.subjectClouden_US
dc.subjectAlert-Systemen_US
dc.subjectDimen­sionen_US
dc.subjectMachine-Learningen_US
dc.subjectImage Processingen_US
dc.subjectMobileNeten_US
dc.titlePothole Detection using Smartphone: A Driver Assistanten_US
dc.typeArticleen_US
Appears in Collections:Conference Papers

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