Real-Time Decision Making for Autonomous City Vehicles
Andrei Furda and Ljubo Vlacic
Intelligent Control Systems Laboratory (ICSL), Institute of Integrated and Intelligent Systems, Griffith University, Brisbane, QLD 4111, Australia
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 confirmthe suitability of the developed approach to deal with the complex real-world urban traffic.
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