Development of Deep Learning Models for Traffic Sign Recognition in Autonomous Vehicles
Zhadra Kozhamkulova,
Zhanar Bidakhmet,
Marina Vorogushina
et al.
Abstract:This research paper investigates the development of deep learning models for traffic sign recognition in autonomous vehicles. Leveraging convolutional neural networks (CNNs), the study explores various architectural configurations and evaluation methodologies to assess the efficacy of CNNs in accurately identifying and classifying traffic signs. Through a systematic evaluation process utilizing metrics such as accuracy, precision, recall, and F-score, the research demonstrates the robustness and generalization… Show more
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