YOLO-BS: a traffic sign detection algorithm based on YOLOv8
Abstract Traffic signs are pivotal components of traffic management, ensuring the regulation and safety of road traffic. However, existing detection methods often suffer from low accuracy and poor real-time performance in dynamic road environments. This paper reviews traditional traffic sign detecti...
Saved in:
| Main Authors: | Hong Zhang, Mingyin Liang, Yufeng Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-03-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-88184-0 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhancing Intelligent Road Target Monitoring: A Novel BGS-YOLO Approach Based on the YOLOv8 Algorithm
by: Xingyu Liu, et al.
Published: (2024-01-01) -
GEB-YOLO: Optimized YOLOv7 Model for Surface Defect Detection on Aluminum Profiles
by: Zihao Xu, et al.
Published: (2024-09-01) -
An enhanced YOLOv8‐based bolt detection algorithm for transmission line
by: Guoxiang Hua, et al.
Published: (2024-12-01) -
DPD-YOLO: dense pineapple fruit target detection algorithm in complex environments based on YOLOv8 combined with attention mechanism
by: Cong Lin, et al.
Published: (2025-01-01) -
FB-YOLOv8s: A fire detection algorithm based on YOLOv8s
by: Yuhang Liu, et al.
Published: (2025-01-01)