no code implementations • 24 Oct 2018 • Tommy Tram, Anton Jansson, Robin Grönberg, Mohammad Ali, Jonas Sjöberg
Moreover, inferring information over time is important to distinguish between different intentions and is shown by comparing the collision rate between a Deep Recurrent Q-Network at 0. 85% and a Deep Q-learning at 1. 75%.
no code implementations • 1 Aug 2019 • Tommy Tram, Ivo Batkovic, Mohammad Ali, Jonas Sjöberg
In this paper, we propose a decision making algorithm intended for automated vehicles that negotiate with other possibly non-automated vehicles in intersections.
no code implementations • 17 Jun 2020 • Carl-Johan Hoel, Tommy Tram, Jonas Sjöberg
This paper investigates how a Bayesian reinforcement learning method can be used to create a tactical decision-making agent for autonomous driving in an intersection scenario, where the agent can estimate the confidence of its recommended actions.
no code implementations • 14 Nov 2022 • Liqin Ding, Gonzalo Seco-Granados, Hyowon Kim, Russ Whiton, Erik G. Ström, Jonas Sjöberg, Henk Wymeersch
Bayesian receiver autonomous integrity monitoring (RAIM) algorithms are developed for the snapshot cellular positioning problem in a simplified one-dimensional (1D) linear Gaussian setting.