Game theoretic decision making based on real sensor data for autonomous vehicles’ maneuvers in high traffic
Mario Garzón,Anne Spalanzani,Mario Garzón,Anne Spalanzani
This paper presents an approach for implementing game theoretic decision making in combination with realistic sensory data input so as to allow an autonomous vehicle to perform maneuvers, such as lane change or merge in high traffic scenarios. The main novelty of this work, is the use of realistic sensory data input to obtain the observations as input of an iterative multi-player game in a realist...
