Anomaly detection in driving behaviour by road profiling
Gabriel Agamennoni, James R. Ward, Stewart Worrall, E. Nebot · 2013
This paper presents a statistical method for detecting anomalous driving behavior by analyzing cross-sectional profiles of the road. A profile captures the way vehicles normally traverse the road; a statistical hypothesis test determines whether the observed behavior is anomalous. Experimental results on genuine data collected by a fleet of vehicles demonstrates the potential of this new method.