| 摘要 |
A vehicular motion monitoring method comprises capturing motion observations on¬ board a vehicle with one or more sensors; mapping sets of motion observations onto a respective feature vector in an at least two-dimensional feature space, each feature vector having a first vector component representative of a longitudinal motion characteristic and a second vector component representative of a lateral motion characteristic; updating determinative parameters of a multivariate Gaussian probability density function modelling a population of collected feature vectors; assigning a riskiness indicator to each feature vector, the calculation of the riskiness indicator being based upon an event severity indicator indicative of how anomalous each feature vector is in comparison to the modelled population and upon a position of the feature vector relative to one or more previous and/or subsequent feature vectors; and integrating the riskiness indicator over time so as to obtain a risk assessment of driving style of the driver of the vehicle. |
