10.4AIAug 12, 2019
Decision making in dynamic and interactive environments based on cognitive hierarchy theory, Bayesian inference, and predictive controlSisi Li, Nan Li, Anouck Girard et al.
In this paper, we describe an integrated framework for autonomous decision making in a dynamic and interactive environment. We model the interactions between the ego agent and its operating environment as a two-player dynamic game, and integrate cognitive behavioral models, Bayesian inference, and receding-horizon optimal control to define a dynamically-evolving decision strategy for the ego agent. Simulation examples representing autonomous vehicle control in three traffic scenarios where the autonomous ego vehicle interacts with a human-driven vehicle are reported.
11.7GTOct 1, 2018
Adaptive Game-Theoretic Decision Making for Autonomous Vehicle Control at RoundaboutsRan Tian, Sisi Li, Nan Li et al.
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 an opponent vehicle, and adapts to an online estimated driver type of the opponent vehicle. Simulation results are reported.