  The automatic dial of an emergency call - eCall - in response to a road
accident is a feature that is gaining interest in the intelligent vehicle
community. It indirectly increases the driving safety of road vehicles, but
presents the technical challenge of developing an algorithm which triggers the
emergency call only when needed, a non-trivial task for two-wheeled vehicles
due to their complex dynamics. In the present work, we propose an eCall
algorithm that detects these anomalies in the data time series, thanks to the
cepstral analysis. The main advantage of the proposed approach is the direct
focus on the data dynamics, solving the limits of approaches based on the
analysis of the instantaneous value of some signals combination. The algorithm
is calibrated and tested against real driving data of ten different drivers,
including seven real crash events, and performance are compared with known
methods.
