Enhanced YOLOv5: An Efficient Road Object Detection Method
Accurate identification of road objects is crucial for achieving intelligent traffic systems. However, developing efficient and accurate road object detection methods in complex traffic scenarios has always been a challenging task. The objective of this study was to improve the target detection algo...
Main Authors: | Hao Chen, Zhan Chen, Hang Yu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-10-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/23/20/8355 |
Similar Items
-
A Multi-Scale Traffic Object Detection Algorithm for Road Scenes Based on Improved YOLOv5
by: Ang Li, et al.
Published: (2023-02-01) -
An Improved YOLOv5 Method for Small Object Detection in UAV Capture Scenes
by: Zhen Liu, et al.
Published: (2023-01-01) -
YOLOv5-TS: Detecting traffic signs in real-time
by: Jiquan Shen, et al.
Published: (2023-11-01) -
An improved method MSS-YOLOv5 for object detection with balancing speed-accuracy
by: Yaping He, et al.
Published: (2023-01-01) -
MTD-YOLOv5: Enhancing marine target detection with multi-scale feature fusion in YOLOv5 model
by: W.E.I. Lian-suo, et al.
Published: (2024-02-01)