A Review of Intrusion Detection for Railway Perimeter Using Deep Learning-Based Methods

A Review of Intrusion Detection for Railway Perimeter Using Deep Learning-Based Methods

Efficiently detecting intrusions on a railway perimeter is crucial for ensuring the safety of railway transportation. With the development of computer vision, researchers have been actively exploring methods for detecting foreign object intrusion via image recognition technology. This article review...

Full description

Saved in:
Bibliographic Details
Main Authors: Jin Wang, Hongyang Zhai, Yang Yang, Niuqi Xu, Hao Li, Di Fu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Railway
semantic segmentation
object detection
foreign object intrusion
railway safety
Online Access:https://ieeexplore.ieee.org/document/10777007/
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items