About this document
Traffic Sign Recognition with YOLOv7 by kksrilakshmi60 is a document available to read on EtoBox.
This document discusses a study on traffic sign recognition for autonomous vehicles using an optimized YOLOv7 algorithm combined with a Convolutional Block Attention Module (CBAM). The research aims to enhance detection accuracy and speed while addressing challenges such as occlusion and varying lighting conditions, achieving a notable accuracy of 99.7% with a small dataset. The findings suggest that the proposed model can significantly contribute to the safety and efficiency of autonomous driving systems.
- Author
- kksrilakshmi60
- Language
- EN