Title :
Situation analysis for driver assistance systems at urban intersections
Author :
Herrmann, Simon ; Schroven, Frank
Author_Institution :
Volkswagen AG, Wolfsburg, Germany
Abstract :
Intersections are one major accident location type. This paper presents a situation analysis that combines a driver intent prediction and probabilistic reachable sets to determine the criticality of a scene. The intent prediction algorithm is presented and its evaluation in a study in real world driving. It is explained how the reachable sets are calculated and the collision probability is defined. These approaches use detailed digital maps and a graph based environmental model to perceive these complex situations.
Keywords :
cartography; driver information systems; probability; reachability analysis; road accidents; accident location type; collision probability; digital map; driver assistance system; driver intent prediction; graph based environmental model; intent prediction algorithm; probabilistic reachable set; real world driving; situation analysis; urban intersection; Acceleration; Bayesian methods; Navigation; Predictive models; Probabilistic logic; Vehicle dynamics; Vehicles;
Conference_Titel :
Vehicular Electronics and Safety (ICVES), 2012 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4673-0992-9
DOI :
10.1109/ICVES.2012.6294295
