Decision making in dynamic and interactive environments based on cognitive hierarchy theory, Bayesian inference, and predictive control

no code implementations • 12 Aug 2019 • Sisi Li, Nan Li, Anouck Girard, Ilya Kolmanovsky

In this paper, we describe an integrated framework for autonomous decision making in a dynamic and interactive environment.

Autonomous Driving Bayesian Inference +1

Adaptive Game-Theoretic Decision Making for Autonomous Vehicle Control at Roundabouts

no code implementations • 1 Oct 2018 • Ran Tian, Sisi Li, Nan Li, Ilya Kolmanovsky, Anouck Girard, Yildiray Yildiz

In this paper, we propose a decision making algorithm for autonomous vehicle control at a roundabout intersection.

Decision Making

Cluster Naturalistic Driving Encounters Using Deep Unsupervised Learning

no code implementations • 28 Feb 2018 • Sisi Li, Wenshuo Wang, Zhaobin Mo, Ding Zhao

Learning knowledge from driving encounters could help self-driving cars make appropriate decisions when driving in complex settings with nearby vehicles engaged.

Clustering Self-Driving Cars

Extraction of V2V Encountering Scenarios from Naturalistic Driving Database

no code implementations • 27 Feb 2018 • Zhaobin Mo, Sisi Li, Diange Yang, Ding Zhao

To overcome this problem, we extract naturalistic V2V encounters data from the database, and then separate the primary vehicle encounter category by clustering.

Clustering Dynamic Time Warping