Search Results for author: Ivo Batkovic

Found 5 papers, 0 papers with code

Model Predictive Control with Infeasible Reference Trajectories

no code implementations10 Sep 2021 Ivo Batkovic, Mohammad Ali, Paolo Falcone, Mario Zanon

Model Predictive Control (MPC) formulations are typically built on the requirement that a feasible reference trajectory is available.

ParkPredict: Motion and Intent Prediction of Vehicles in Parking Lots

no code implementations21 Apr 2020 Xu Shen, Ivo Batkovic, Vijay Govindarajan, Paolo Falcone, Trevor Darrell, Francesco Borrelli

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 maneuvers in a compact space.

Safe Trajectory Tracking in Uncertain Environments

no code implementations30 Jan 2020 Ivo Batkovic, Mohammad Ali, Paolo Falcone, Mario Zanon

In Model Predictive Control (MPC) formulations of trajectory tracking problems, infeasible reference trajectories and a-priori unknown constraints can lead to cumbersome designs, aggressive tracking, and loss of recursive feasibility.

Learning When to Drive in Intersections by Combining Reinforcement Learning and Model Predictive Control

no code implementations1 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.

Decision Making reinforcement-learning

A Computationally Efficient Model for Pedestrian Motion Prediction

no code implementations13 Mar 2018 Ivo Batkovic, Mario Zanon, Nils Lubbe, Paolo Falcone

We present a mathematical model to predict pedestrian motion over a finite horizon, intended for use in collision avoidance algorithms for autonomous driving.

Systems and Control

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