… We design a fault detection system and a fault probability indicator specifically for
autonomous vehicles using hybrid approaches; 2). Membership function of the fuzzy system is …

… both current vehicle state awareness (fault detection and identification) and prediction to
determine future vehicle health. An adequate understanding of the vehicles current health state …

… This paper deals with possible sensor faults by defining a federated … detect obstacles in an
autonomous vehicle’s environment while detecting a faulty sensor using SVM models for fault …

… fault detection method using deep learning techniques to learn patterns of faults reflected in
the dynamic model of an autonomous … an autonomous vehicle and identify the faults caused …

… systems such as autonomous cars where the case of simultaneous faults in different … paper
proposes a novel fault detection, isolation and identification architecture for multi-fault in multi-…

… paper proposes two fault detection algorithms for longitudinal sensor fault detection. Other
studies have shown the occasional use of the sliding mode observer method to detect faults. …

… of autonomous-vehicle platoons [8]. In this paper, we use transmissibility operators to detect
faults in the connected autonomous-vehicles … mode controller to mitigate these faults. Most …

… of fault tolerance in general implies three steps: error detection, error location, and recovery.
The most common sensor fault detection … -fault classification in order to detect a fault and its …

… investigates fault detection, localization, and mitigation of autonomous vehicles platoons. …
operators to detect, localize, and mitigate faults in autonomous vehicles platoons. …

… The act of fault diagnosis aims to provide available information about the operation status of
… tasks: fault detection, fault isolation, and fault identification. Fault detection involves checking …