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Traffic Sign Classification using Transformers

Traffic sign classification plays a crucial role in intelligent transportation systems (ITS) by ensuring accurate sign recognition for autonomous driving and Advanced Driver Assistance Systems (ADAS). However, traditional models struggle with challenges such as varying lighting conditions, occlusions, and visually similar signs, leading to ...
Puvvala, Sree Dattha   +3 more
openaire   +1 more source

Lightweight deep network for traffic sign classification

Annals of Telecommunications, 2019
Deeper neural networks have achieved great results in the field of computer vision and have been successfully applied to tasks such as traffic sign recognition. However, as traffic sign recognition systems are often deployed in resource-constrained environments, it is critical for the network design to be slim and accurate in these instances ...
Jianming Zhang   +4 more
openaire   +1 more source

Traffic Sign Detection and Classification

2023 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI), 2023
Vinayak Sharma   +2 more
openaire   +1 more source

Traffic Sign Classification Based on Prototypes

2021 16th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 2021
Hao Fu, Hongjun Wang
openaire   +1 more source

Traffic Sign Classification using Deep Learning

2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS), 2023
Ramya Sree Pothineni   +3 more
openaire   +1 more source

Deep Learning for Large-Scale Traffic-Sign Detection and Recognition

IEEE Transactions on Intelligent Transportation Systems, 2020
Domen Tabernik, Danijel Skočaj
exaly  

Vision-Based Traffic Sign Detection and Analysis for Intelligent Driver Assistance Systems: Perspectives and Survey

IEEE Transactions on Intelligent Transportation Systems, 2012
Thomas B Moeslund
exaly  

On circular traffic sign detection and recognition

Expert Systems With Applications, 2016
CÜneyt Akinlar, Serkan Gunal
exaly  

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