activity
20202025
most citedNMPC trajectory planner for urban autonomous driving

59 citations · 154 across the 15 of their papers we have counts for

collaborators
Showing 2021Show all

6 papers · 1 filter

cs.RO2021★ 1 cited

Control of a Hexapod Robot Considering Terrain Interaction

Marco Zangrandi, Stefano Arrigoni, Francesco Braghin

Bio-inspired walking hexapod robots are a relatively young branch in robotics in both state of the art and applications. Despite their high degree of flexibility and adaptability d…

cs.RO2021

Two algorithms for vehicular obstacle detection in sparse pointcloud

Simone Mentasti, Matteo Matteucci, Stefano Arrigoni +1

One of the main components of an autonomous vehicle is the obstacle detection pipeline. Most prototypes, both from research and industry, rely on lidars for this task. Pointcloud i…

cs.RO2021★ 14 cited

Design of a prototypical platform for autonomous and connected vehicles

Stefano Arrigoni, Simone Mentasti, Federico Cheli +2

Self-driving technology is expected to revolutionize different sectors and is seen as the natural evolution of road vehicles. In the last years, real-world validation of designed a…

cs.RO2021★ 59 cited

NMPC trajectory planner for urban autonomous driving

Francesco Micheli, Mattia Bersani, Stefano Arrigoni +2

This paper presents a trajectory planner for autonomous driving based on a Nonlinear Model Predictive Control (NMPC) algorithm that accounts for Pacejka's nonlinear lateral tyre dy…

eess.SY2021★ 22 cited

Development and Simulation-based Testing of a 5G-Connected Intersection AEB System

Michael Khayyat, Stefano Arrigoni, Federico Cheli

In Europe, 20% of road crashes occur at intersections. In recent years, evolving communication technologies are making V2V and V2I faster and more reliable; with such advancements,…

cs.RO2021★ 26 cited

MPC path-planner for autonomous driving solved by genetic algorithm technique

Stefano Arrigoni, Francesco Braghin, Federico Cheli

Autonomous vehicle's technology is expected to be disruptive for automotive industry in next years. This paper proposes a novel real-time trajectory planner based on a Nonlinear Mo…