Research Paper#Autonomous Vehicles, Deep Learning, Object Detection🔬 ResearchAnalyzed: Jan 4, 2026 00:18
Comparative Analysis of YOLO Models for Autonomous Vehicle Perception
Published:Dec 25, 2025 13:33
•1 min read
•ArXiv
Analysis
This paper provides a comparative analysis of YOLO-NAS and YOLOv8 models for object detection in autonomous vehicles, a crucial task for safe navigation. The study's value lies in its practical evaluation using a custom dataset and its focus on comparing the performance of these specific, relatively new, deep learning models. The findings offer insights into training time and accuracy, which are critical considerations for researchers and developers in the field.
Key Takeaways
Reference
“The YOLOv8s model saves 75% of training time compared to the YOLO-NAS model and outperforms YOLO-NAS in object detection accuracy.”