An Auto-Encoder enabled Fault Detection and Isolation Scheme for enabling a Multi-Sensorial Distributed Pose Estimation
Author:
Affiliation:
1. Lulea University of Technology,Robotics and AI, Department of Computer, Electrical and Space Engineering,Lulea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9831187/9831454/09831458.pdf?arnumber=9831458
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1. Anomaly detection by robust statistics
2. Survey on Anomaly Detection using Data Mining Techniques
3. Variational autoencoder based anomaly detection using reconstruction probability;an;Special Lecture on IE,2015
4. LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
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1. Autonomous Residual Threshold Detection for Decentralized Radar Inertial Odometry in Hostile Environments;2024 International Conference on Control, Automation and Diagnosis (ICCAD);2024-05-15
2. Fault Resilient Decentralized Multi-sensorial Fusion Based Pose Estimation for Autonomous Navigation Around Asteroid;International Journal of Control, Automation and Systems;2023-06
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