Using a YOLO Deep Learning Algorithm to Improve the Accuracy of 3D Object Detection by Autonomous Vehicles
This study presents an adaptation of the YOLOv4 deep learning algorithm for 3D object detection, addressing a critical challenge in autonomous vehicle (AV) systems: accurate real-time perception of the surrounding environment in three dimensions. Traditional 2D detection methods, while efficient, fa...
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Main Authors: | Ramavhale Murendeni, Alfred Mwanza, Ibidun Christiana Obagbuwa |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-12-01
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Series: | World Electric Vehicle Journal |
Subjects: | |
Online Access: | https://www.mdpi.com/2032-6653/16/1/9 |
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