Semi-Automatic Validation and Verification Framework for CV&AI-Enhanced Railway Signaling and Landmark Detector-Reference-Cited by-同舟云学术

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Semi-Automatic Validation and Verification Framework for CV&AI-Enhanced Railway Signaling and Landmark Detector

Published:2023 Issue: Volume:72 Page:1-13
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Labayen Mikel¹^ORCID,Mendialdua Xabier²^ORCID,Aginako Naiara³^ORCID,Sierra Basilio³^ORCID

Affiliation:

1. Autonomous Vehicle Department, CAF Signalling, Donostia, Spain

2. Dependable Embedded Systems, Ikerlan Technology Research Centre, Basque Research and Technology Alliance, Arrasate, Spain

3. Computer Sciences and Artificial Intelligence Department, University of Basque Country, Donostia, Spain

Funder

Electronic Components and Systems for European Leadership

Industrial Leadership [Information and Communication Technology (ICT)] Programs

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10151685.pdf?arnumber=10151685

Reference44 articles.

1. Deep Learning and Machine Vision Based Inspection of Rail Surface Defects

2. Automatic Fastener Classification and Defect Detection in Vision-Based Railway Inspection Systems

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