A Lightweight Track Feature Detection Algorithm Based on Element Multiplication and Extended Path Aggregation Networks

Aiming at the problems of excessive computational load, insufficient real-time performance, and an excessive amount of model parameters in track inspection, this paper proposes a lightweight track feature detection module (YOLO-LWTD) based on YOLO11n: first, the StarNet module is integrated into the...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Vol. 25; no. 18; p. 5753
Main Authors: Qiu, Hong, Yang, Dayong, Cao, Juanhua, Ming, Jingqiang, Jiang, Kun, Wu, Weijun
Format: Journal Article
Language:English
Published: Switzerland MDPI AG 16.09.2025
Subjects:
Accuracy
Algorithms
Analysis
Computer vision
elemental multiplication
Information management
lightweight network
Localization
Optimization
Telecommunication systems
track inspection
YOLO11
lightweight network
YOLO11
track inspection
elemental multiplication
ISSN:1424-8220, 1424-8220
Online Access:Get full text
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