Functional Safety: On-Board Computing of Accident Risk

Abstract

Safety estimation for a given driving style is of utmost importance in the perspective of fully automated vehicles. Recent progress on accident estimation measurement made by insurance companies has revealed that correlation approaches based on “severe braking” events are not satisfactory. Here we propose a new solution. Taking into account the dynamics of the vehicle and inputs of different nature (visibility, grip, shape of the road, …) a dimensionless quantity is calculated which detects “near miss” events. This solution, based on deep knowledge of causality relationships, can be used for making data-based services richer, for a more relevant estimation of safety level and a better accident anticipation.