8 citations · 9 across the 5 of their papers we have counts for
5 papers
Model Predictive Control with Infeasible Reference Trajectories
Ivo Batkovic, Mohammad Ali, Paolo Falcone +1
Model Predictive Control (MPC) formulations are typically built on the requirement that a feasible reference trajectory is available. In practical settings, however, references tha…
Safe Trajectory Tracking in Uncertain Environments
Ivo Batkovic, Mohammad Ali, Paolo Falcone +1
In Model Predictive Control (MPC) formulations of trajectory tracking problems, infeasible reference trajectories and a-priori unknown constraints can lead to cumbersome designs, a…
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…
Real-Time Constrained Trajectory Planning and Vehicle Control for Proactive Autonomous Driving With Road Users
Ivo Batkovic, Mario Zanon, Mohammad Ali +1
For motion planning and control of autonomous vehicles to be proactive and safe, pedestrians' and other road users' motions must be considered. In this paper, we present a vehicle…
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…