Computer Vision-Based Lane Detection and Detection of Vehicle, Traffic Sign, Pedestrian Using YOLOv5
There has been a global increase in the number of vehicles in use, resulting in a higher occurrence of traffic accidents. Advancements in computer vision and deep learning enable vehicles to independently perceive and navigate their environment, making decisions that enhance road safety and reduce t...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Sakarya University
2024-04-01
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Series: | Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi |
Subjects: | |
Online Access: | https://dergipark.org.tr/tr/download/article-file/3548057 |