Situation analysis and adaptive risk assessment for Intersection Safety Systems in advanced assisted driving

Abstract

Intersection Safety Systems (ISS) are a relative new but an important research topic in the field of Advanced Driver Assistance Systems as accident statistics show. Unfortunately, intersections are one of the most complex scenarios out of all traffic related scenarios which complicates the development of such ISS. This paper presents situation analysis and risk assessment algorithms for Intersection Safety Systems which are suitable for online implementation. The demonstrator system is able to observe the intersection environment with several onboard sensors and to build an appropriate scene model including behaviors, intentions and interrelations of all vehicles in the scene. The subsequent risk assessment judges possible individual risks for the vehicle that is equipped with the safety system.