GS-LinYOLOv10: A drone-based model for real-time construction site safety monitoring
Real-time safety monitoring on construction sites is essential for ensuring worker safety, but traditional detection methods face challenges in dynamic environments with moving objects, occlusions, and complex conditions. To address these limitations, we propose GS-LinYOLOv10, an improved model base...
Saved in:
Main Authors: | Yang Song, ZhenLin Chen, Hua Yang, Jifei Liao |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-05-01
|
Series: | Alexandria Engineering Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016825000304 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Drone Injuries and Safety Recommendations
by: Serap Gorucu, et al.
Published: (2021-08-01) -
TS-PAID: A Two-Stage PUF-Based Lightweight Authentication Protocol for Internet of Drones
by: Shehzad Ashraf Chaudhry, et al.
Published: (2025-01-01) -
Development of a Solar-Powered Edge Processing Perimeter Alert System with AI and LoRa/LoRaWAN Integration for Drone Detection and Enhanced Security
by: Mateo Mejia-Herrera, et al.
Published: (2025-01-01) -
Systematic Literature Review Methodology for Drone Recharging Processes in Agriculture and Disaster Management
by: Leonardo Grando, et al.
Published: (2025-01-01) -
A Lightweight AI-Based Approach for Drone Jamming Detection
by: Sergio Cibecchini, et al.
Published: (2025-01-01)