A Lightweight Direction-Aware Network for Vehicle Detection
Vehicle detection algorithms, which are essential to intelligent traffic management and control systems, have attracted growing attention. However, most high-precision vehicle detection algorithms suffer from high computational effort and slow detection speeds, resulting in the challenging task of d...
Saved in:
| Main Authors: | Luxia Yang, Yilin Hou, Hongrui Zhang, Chuanghui Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10877820/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Lightweight Model for Weed Detection Based on the Improved YOLOv8s Network in Maize Fields
by: Jinyong Huang, et al.
Published: (2024-12-01) -
Lightweight Insulator and Defect Detection Method Based on Improved YOLOv8
by: Yanxing Liu, et al.
Published: (2024-09-01) -
Lightweight Detection of Train Underframe Bolts Based on SFCA-YOLOv8s
by: Zixiao Li, et al.
Published: (2024-10-01) -
A lightweight algorithm for steel surface defect detection using improved YOLOv8
by: Shuangbao Ma, et al.
Published: (2025-03-01) -
YOLOv8s-Longan: a lightweight detection method for the longan fruit-picking UAV
by: Jun Li, et al.
Published: (2025-01-01)