A one-class cepstrum method is proposed for anomaly detection in motorcycle time-series data to enable reliable eCall triggering, tested on real driving data including crashes.
The quefrency analysis of time series for echoes: cepstrum, pseudo-autocovariance, cross- cepstrum and saphe cracking
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Analysis and development of an automatic eCall for motorcycles: a one-class cepstrum approach
A one-class cepstrum method is proposed for anomaly detection in motorcycle time-series data to enable reliable eCall triggering, tested on real driving data including crashes.