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http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/10225
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Rohilla, Saransh | - |
dc.contributor.author | Yadav, Sannidhya | - |
dc.contributor.author | Puthooran, Emjee [Guided by] | - |
dc.date.accessioned | 2023-10-05T09:42:01Z | - |
dc.date.available | 2023-10-05T09:42:01Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/10225 | - |
dc.description | Enrollment No. 191008, 191023 | en_US |
dc.description.abstract | Automated driving and driver assistance systems heavily rely on accurate traffic sign recognition. This involves two steps: detection and classification, which require sophisticated vision algorithms due to the diverse visual characteristics of traffic sign images. Researchers are actively working on developing novel methods to tackle this challenging problem. Traffic sign recognition is crucial for self-driving cars as it enables them to understand the traffic environment and make informed decisions based on road signs and markings. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Jaypee University of Information Technology, Solan, H.P. | en_US |
dc.subject | Traffic sign recognition system | en_US |
dc.subject | Autonomous vehicle | en_US |
dc.subject | Machine learning | en_US |
dc.subject | Convolutional neural networks | en_US |
dc.title | Traffic Sign Recognition System for Autonomous Vehicle | en_US |
dc.type | Project Report | en_US |
Appears in Collections: | B.Tech. Project Reports |
Files in This Item:
File | Description | Size | Format | |
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Traffic Sign Recognition System for Autonomous Vehicle.pdf | 1.5 MB | Adobe PDF | View/Open |
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