59 citations · 154 across the 15 of their papers we have counts for
15 papers
Raci-Net: Ego-vehicle Odometry Estimation in Adverse Weather Conditions
Mohammadhossein Talebi, Pragyan Dahal, Davide Possenti +2
Autonomous driving systems are highly dependent on sensors like cameras, LiDAR, and inertial measurement units (IMU) to perceive the environment and estimate their motion. Among th…
Tactical Game-theoretic Decision-making with Homotopy Class Constraints
Michael Khayyat, Alessandro Zanardi, Stefano Arrigoni +1
We propose a tactical homotopy-aware decision-making framework for game-theoretic motion planning in urban environments. We model urban driving as a generalized Nash equilibrium pr…
Speed Profile Definition for GLOSA Implementation on Buses Based on Statistical Analysis of Experimental Data
Daniele Vignarca, Stefano Arrigoni, Edoardo Sabbioni +1
Intelligent Transportation Systems (ITS) are pushing an increasing interest and development when dealing with eco-driving systems. In this framework, this paper presents a method t…
Vehicle State Estimation through Modular Factor Graph-based Fusion of Multiple Sensors
Pragyan Dahal, Jai Prakash, Stefano Arrigoni +1
This study focuses on the critical aspect of robust state estimation for the safe navigation of an Autonomous Vehicle (AV). Existing literature primarily employs two prevalent tech…
A Map-Free LiDAR-Based System for Autonomous Navigation in Vineyards
Riccardo Bertoglio, Veronica Carini, Stefano Arrigoni +1
Agricultural robots have the potential to increase production yields and reduce costs by performing repetitive and time-consuming tasks. However, for robots to be effective, they m…
Design and Simulation-Based Testing of Connected Traffic Light Guidance Systems
Michael Khayyat, Alberto Gabriele, Francesca Mancini +2
The establishment of fast and reliable communication technologies, such as 5G, is enabling the evolution of a new generation of connected ADAS. This work aims to develop a traffic…
Extended Object Tracking in Curvilinear Road Coordinates for Autonomous Driving
Pragyan Dahal, Simone Mentasti, Stefano Arrigoni +3
In literature, Extended Object Tracking (EOT) algorithms developed for autonomous driving predominantly provide obstacles state estimation in cartesian coordinates in the Vehicle R…
Development and Virtual Testing of 5G Connected Adaptive Cruise Control
Andrea Leo, Giacomo Reatti, Stefano Arrigoni +2
It is estimated that 90% of crashes occur due to human error, mainly induced by poor judgement, distraction or lack of situation awareness. The development of systems that aim to i…
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…
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…
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…
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…
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,…
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…
Advances in centerline estimation for autonomous lateral control
Paolo Cudrano, Simone Mentasti, Matteo Matteucci +3
The ability of autonomous vehicles to maintain an accurate trajectory within their road lane is crucial for safe operation. This requires detecting the road lines and estimating th…