8 citations · 11 across the 6 of their papers we have counts for
7 papers
Experimental Validation of Safe MPC for Autonomous Driving in Uncertain Environments
Ivo Batkovic, Ankit Gupta, Mario Zanon +1
The full deployment of autonomous driving systems on a worldwide scale requires that the self-driving vehicle be operated in a provably safe manner, i.e., the vehicle must be able…
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…
ParkPredict: Motion and Intent Prediction of Vehicles in Parking Lots
Xu Shen, Ivo Batkovic, Vijay Govindarajan +3
We investigate the problem of predicting driver behavior in parking lots, an environment which is less structured than typical road networks and features complex, interactive maneu…
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…