Work

Improved YOLO11 for Maglev Train Foreign Object Detection

Year: 2025
Type: article
Abstract: To address the issues of small target miss detection, false positives in complex scenarios, and insufficient real-time performance in maglev train foreign object intrusion detection, this paper proposes a multi-module fusion ... | Find, read and cite all the research you need on Tech Science Press
Authors: Qinzhen Fang, Dongliang Peng, Lu Zeng, Zixuan Jiang
Language: English
Open Access status: diamond
OpenAlex ID: W4415987519
FWCI:
Cites:
Cited by:
Related to: