Browsing by Author "Girard, A."
Now showing items 1-6 of 6
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Adaptive game-theoretic decision making for autonomous vehicle control at roundabouts
(Institute of Electrical and Electronics Engineers Inc., 2019)In this paper, we propose a decision making algorithm for autonomous vehicle control at a roundabout intersection. The algorithm is based on a game-theoretic model representing the interactions between the ego vehicle and ... -
Game Theoretic Modeling of Vehicle Interactions at Unsignalized Intersections and Application to Autonomous Vehicle Control
(IEEE, 2018)In this paper, we discuss a game theoretic approach to model the time-extended, multi-step, and interactive decision making of vehicles at unsignalized intersections. The vehicle interaction model is then used to define ... -
Game theory-based traffic modeling for calibration of automated driving algorithms
(Springer, Cham, 2019)Automated driving functions need to be validated and calibrated so that a self-driving car can operate safely and efficiently in a traffic environment where interactions between it and other traffic participants constantly ... -
Hierarchical reasoning game theory based approach for evaluation and testing of autonomous vehicle control systems
(IEEE, 2016)A hierarchical game theoretic decision making framework is exploited to model driver decisions and interactions in traffic. In this paper, we apply this framework to develop a simulator to evaluate various existing autonomous ... -
Stochastic driver modeling and validation with traffic data
(IEEE, 2019)This paper describes a stochastic modeling approach for predicting driver responses in highway traffic. Different from existing approaches in the literature, the proposed modeling framework allows simultaneous decision ... -
A Traffic Simulation Model with Interactive Drivers and High-fidelity Car Dynamics
(Elsevier, 2019)We integrate a set of game-theoretic driver decision-making models with the high-fidelity car driving simulator The Open Racing Car Simulator (TORCS). The game-theoretic driver models simulate the interactive decision ...
