no code implementations • 22 Apr 2024 • Muhammad Faris, Mario Zanon, Paolo Falcone
In this paper, we address a coordination problem for connected and autonomous vehicles (CAVs) in mixed traffic settings with human-driven vehicles (HDVs).
no code implementations • 21 Mar 2022 • Carl-Johan Heiker, Paolo Falcone
In this paper, we model a decision-making process involving a set of interacting agents.
no code implementations • 19 Nov 2021 • Robert Hult, Mario Zanon, Sebastien Gros, Paolo Falcone
In this paper, we consider the optimal coordination of automated vehicles at intersections under fixed crossing orders.
no code implementations • 10 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.
no code implementations • 21 Sep 2020 • Ankit Gupta, Manas Mejari, Paolo Falcone, Dario Piga
This paper presents an iterative algorithm to compute a Robust Control Invariant (RCI) set, along with an invariance-inducing control law, for Linear Parameter-Varying (LPV) systems.
no code implementations • 21 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.
no code implementations • 30 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.
no code implementations • 13 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