A Combination of Classification Robust Adaptive Kalman Filter with PPP-RTK to Improve Fault Detection for Integrity Monitoring of Autonomous Vehicles

A Combination of Classification Robust Adaptive Kalman Filter with PPP-RTK to Improve Fault Detection for Integrity Monitoring of Autonomous Vehicles

Real-time integrity monitoring (IM) is essential for autonomous vehicle positioning, requiring high availability and manageable computational load. This research proposes using precise point positioning real-time kinematic (PPP-RTK) as the positioning method, combined with an improved classification...

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Bibliographic Details
Main Authors: Elsayed, Hassan, El-Mowafy, Ahmed, Allahvirdi-Zadeh, Amir, Wang, Kan, Mi, Xiaolong
Format: Journal Article
Language:English
Published: MDPI AG 2025
Subjects:
Integrity Monitoring
Fault Detection and Identification
Autonomous Vehicles
Adaptive Kalman Filter
Online Access:http://purl.org/au-research/grants/arc/DP240101710
http://hdl.handle.net/20.500.11937/96903

Internet

http://purl.org/au-research/grants/arc/DP240101710
http://hdl.handle.net/20.500.11937/96903

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