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Optimized Detection and Classification on GTRSB: Advancing Traffic Sign Recognition with Convolutional Neural Networks
March 14, 2024, 4:45 a.m. | Dhruv Toshniwal, Saurabh Loya, Anuj Khot, Yash Marda
cs.CV updates on arXiv.org arxiv.org
Abstract: In the rapidly evolving landscape of transportation, the proliferation of automobiles has made road traffic more complex, necessitating advanced vision-assisted technologies for enhanced safety and navigation. These technologies are imperative for providing critical traffic sign information, influencing driver behavior, and supporting vehicle control, especially for drivers with disabilities and in the burgeoning field of autonomous vehicles. Traffic sign detection and recognition have emerged as key areas of research due to their essential roles in ensuring …
abstract advanced arxiv automobiles behavior classification convolutional neural networks cs.cv detection driver information landscape navigation networks neural networks recognition safety technologies traffic transportation type vision
More from arxiv.org / cs.CV updates on arXiv.org
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
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