Deep Learning Algorithm for Optimized Sensor Data Fusion in Fault Diagnosis and Tolerance

Deep Learning Algorithm for Optimized Sensor Data Fusion in Fault Diagnosis and Tolerance

Abstract Environmental perception is one of the key technologies to realize autonomous vehicles. The fault diagnosis process involves identifying the fault that occurred or the cause of the out-of-control condition. Here, the major objective is to locate problems in detection by analysing previous d...

Full description

Saved in:
Bibliographic Details
Main Authors: M. Elhoseny, Deepak Dasaratha Rao, Bala Dhandayuthapani Veerasamy, Noha Alduaiji, J. Shreyas, Piyush Kumar Shukla
Format: Article
Language:English
Published: Springer 2024-12-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Fault diagnosis
Region proposal network
Feature extraction network
Loss function
Optimization
Online Access:https://doi.org/10.1007/s44196-024-00692-5
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1007/s44196-024-00692-5

Similar Items