Real-Time Decision Making for Autonomous City Vehicles

Abstract

This paper addresses the topic of real-time decision making by autonomous city vehicles. Beginning with an overview of the state of research, the paper presents the vehicle decision making & control system architecture, explains the subcomponents which are relevant for decision making (World Model and Driving Maneuver subsystem), and presents the decision making process. Experimental test results confirm the suitability of the developed approach to deal with the complex real-world urban traffic.