Resolving Conflict in Decision-Making for Autonomous Driving

Jack Geary (University of Edinburgh),
Subramanian Ramamoorthy (University of Edinburgh),
Henry Gouk (University of Edinburgh)
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Paper #049
Interactive Poster Session V Interactive Poster Session VIII

0d 00h 00m

0d 00h 00m


Recent work on decision-making and planning for autonomous driving has made use of game theoretic methods to model interaction between agents. We demonstrate that methods based on the Stackelberg game formulation of this problem are susceptible to an issue that we refer to as Conflict. Our results show that when Conflict occurs, it can cause sub-optimal and potentially dangerous behaviour. In response, we develop a theoretical framework for analysing the extent to which such methods are impacted by Conflict, and apply this framework to several existing approaches modelling interaction between agents. Moreover, we propose Augmented Altruism, a novel approach to modelling interaction between players in a Stackelberg game, and show that it is less prone to Conflict than previous techniques. Finally, we investigate the behavioural assumptions that underpin our approach by performing experiments with human participants. The results show that our model approximates human decision-making more accurately than existing game-theoretic models of interactive driving.

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