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

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