Vehicle detection and classification for traffic management and autonomous systems using YOLOv10
With the continuous development of Intelligent Transportation Systems (ITS), real-time vehicle detection and classification have become critical tasks for urban traffic management and autonomous driving. However, existing detection methods face challenges such as small target detection, severe occlu...
Saved in:
| Main Authors: | Anning Ji, Xintao Ma |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
|
| Series: | Alexandria Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016825007999 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Small object detection algorithm based on improved YOLOv10 for traffic sign
by: Yukang Zou, et al.
Published: (2025-07-01) -
RHS-YOLOv8: A Lightweight Underwater Small Object Detection Algorithm Based on Improved YOLOv8
by: Yifan Wei, et al.
Published: (2025-03-01) -
BSE-YOLO: An Enhanced Lightweight Multi-Scale Underwater Object Detection Model
by: Yuhang Wang, et al.
Published: (2025-06-01) -
Real-Time Recognition and Localization of Kiwifruit Based on Improved YOLOv5s Algorithm
by: Jin-Sui Dai, et al.
Published: (2024-01-01) -
DGSS-YOLOv8s: A Real-Time Model for Small and Complex Object Detection in Autonomous Vehicles
by: Siqiang Cheng, et al.
Published: (2025-06-01)