1 citations · 1 across the 5 of their papers we have counts for
5 papers
Improving 3D Cellular Positioning Integrity with Bayesian RAIM
Liqin Ding, Gonzalo Seco-Granados, Hyowon Kim +4
Ensuring positioning integrity amid faulty measurements is crucial for safety-critical applications, making receiver autonomous integrity monitoring (RAIM) indispensable. This pape…
Reinforcement Learning with Uncertainty Estimation for Tactical Decision-Making in Intersections
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, wher…
Automated Augmentation with Reinforcement Learning and GANs for Robust Identification of Traffic Signs using Front Camera Images
Sohini Roy Chowdhury, Lars Tornberg, Robin Halvfordsson +10
Traffic sign identification using camera images from vehicles plays a critical role in autonomous driving and path planning. However, the front camera images can be distorted due t…
Learning When to Drive in Intersections by Combining Reinforcement Learning and Model Predictive Control
Tommy Tram, Ivo Batkovic, Mohammad Ali +1
In this paper, we propose a decision making algorithm intended for automated vehicles that negotiate with other possibly non-automated vehicles in intersections. The decision algor…
Learning Negotiating Behavior Between Cars in Intersections using Deep Q-Learning
Tommy Tram, Anton Jansson, Robin Grönberg +2
This paper concerns automated vehicles negotiating with other vehicles, typically human driven, in crossings with the goal to find a decision algorithm by learning typical behavior…