Revolutionizing Traffic Sign Recognition: Unveiling the Potential of Vision Transformers

arXiv:2404.19066v1 Announce Type: new
Abstract: This research introduces an innovative method for Traffic Sign Recognition (TSR) by leveraging deep learning techniques, with a particular emphasis on Vision Transformers. TSR holds a vital role in advancing driver assistance systems and autonomous vehicles. Traditional TSR approaches, reliant on manual feature extraction, have proven to be labor-intensive and costly. Moreover, methods based on shape and color have inherent limitations, including susceptibility to various factors and changes in lighting conditions. This study explores three …

abstract arxiv autonomous autonomous vehicles cs.cv deep learning deep learning techniques driver extraction feature feature extraction recognition research role systems traffic transformers type vehicles vision vision transformers vital