YOLO-Fusion and Internet of Things: Advancing object detection in smart transportation
In intelligent transportation systems, traditional object detection algorithms struggle to handle complex environments and varying lighting conditions, particularly when detecting small targets and processing multimodal data. Furthermore, existing IoT frameworks are limited in their efficiency for r...
Saved in:
Main Authors: | Jun Tang, Caixian Ye, Xianlai Zhou, Lijun Xu |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2024-11-01
|
Series: | Alexandria Engineering Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016824010263 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The design of intelligent highway transportation system in smart city based on the internet of things
by: Huichao Guo, et al.
Published: (2024-11-01) -
Enabling smart parking for smart cities using Internet of Things (IoT) and machine learning
by: Mofadal Alymani, et al.
Published: (2025-01-01) -
CLOUD COMPUTING AND INTERNET OF THINGS FOR SMART CITY DEPLOYMENTS
by: GEORGE SUCIU, et al.
Published: (2013-05-01) -
A METHOD OF VULNERABILITY ANALYSIS IN WIRELESS INTERNET OF THINGS NETWORKS FOR SMART CITY INFRASTRUCTURES
by: Tamara Zhukabayeva, et al.
Published: (2024-10-01) -
Integrating Renewable Energy with Internet of Things (IoT): Pathways to a Smart Green Planet
by: Shojib Mia, et al.
Published: (2025-02-01)