FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer
Vision

FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision

International Conference on Intelligent Transportation Systems (ITSC), 2019

9 November 2019

Arulmurugan Ambikapathi

V. Chandrasekhar

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Papers citing "FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision"

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Title
Broken Rail Detection With Texture Image Processing Using Two-Dimensional Gray Level Co-occurrence Matrix Mohsen Ebrahimi 44 1 0 23 Apr 2023
A Lightweight NMS-free Framework for Real-time Visual Fault Detection System of Freight TrainsIEEE Transactions on Instrumentation and Measurement (IEEE Trans. Instrum. Meas.), 2022 Guodong Sun Yang Zhou Huilin Pan Bo Wu Ye Hu Yang Zhang 171 6 0 25 May 2022
Machine-learning based methodologies for 3d x-ray measurement, characterization and optimization for buried structures in advanced ic packages R. Pahwa S. W. Ho Ren Qin Richard Chang Oo Zaw Min ... T. Nwe Yanjing Yang J. Neumann R. Pichumani T. Gregorich 204 7 0 08 Mar 2021
A Unified Light Framework for Real-time Fault Detection of Freight Train ImagesIEEE Transactions on Industrial Informatics (TII), 2021 Yang Zhang Moyun Liu Yang Yang Yanwen Guo Huiming Zhang 720 26 0 31 Jan 2021
Dense 3D Reconstruction for Visual Tunnel Inspection using Unmanned Aerial VehicleIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2019 R. Pahwa K. Chan Jiamin Bai V. B. Saputra Minh Do Shaohui Foong 84 14 0 09 Nov 2019