Please use this identifier to cite or link to this item:
http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/10225
Title: | Traffic Sign Recognition System for Autonomous Vehicle |
Authors: | Rohilla, Saransh Yadav, Sannidhya Puthooran, Emjee [Guided by] |
Keywords: | Traffic sign recognition system Autonomous vehicle Machine learning Convolutional neural networks |
Issue Date: | 2023 |
Publisher: | Jaypee University of Information Technology, Solan, H.P. |
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. |
Description: | Enrollment No. 191008, 191023 |
URI: | http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/10225 |
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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