Game Theory For Self-Driving Cars

Game Theory For Self-Driving Cars

Title: Game Theory For Self-Driving Cars
Authors: Fanta Camara (Institute for Transport Studies, University of Leeds and Lincoln Centre for Autonomous Systems (LCAS), School of Computer Science, University of Lincoln); Charles W. Fox (Institute for Transport Studies, University of Leeds and Lincoln Centre for Autonomous Systems (LCAS), School of Computer Science, University of Lincoln and Ibex Automation Ltd);
Year: 2020
Citation: Camara, F., Fox, C. W., (2020). Game Theory For Self-Driving Cars. UKRAS20 Conference: “Robots into the real world” Proceedings, 77-79. doi: 10.31256/Sk9Zg2D

Abstract:

Pedestrian behaviour understanding is of utmost importance for autonomous vehicles (AVs). Pedestrian behaviour is complex and harder to model and predict than other road users such as drivers and cyclists. In this paper, we present an overview of our ongoing work on modelling AV-human interactions using game theory for autonomous vehicles control.

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