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.
Detecting powered- two-wheeler incidents from high resolution naturalistic data
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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.