Publications (14)
Target Tracking via LiDAR-RADAR Sensor Fusion for Autonomous Racing
Marcello Cellina, Matteo Corno, Sergio Matteo Savaresi
High Speed multi-vehicle Autonomous Racing will increase the safety and performance of road-going Autonomous Vehicles. Precise vehicle detection and dynamics estimation from a movi…
A Multimodal Hybrid Late-Cascade Fusion Network for Enhanced 3D Object Detection
Carlo Sgaravatti, Roberto Basla, Riccardo Pieroni +4
We present a new way to detect 3D objects from multimodal inputs, leveraging both LiDAR and RGB cameras in a hybrid late-cascade scheme, that combines an RGB detection network and…
Mobile Robot Localization: a Modular, Odometry-Improving Approach
Luca Mozzarelli, Luca Cattaneo, Matteo Corno +1
Despite the number of works published in recent years, vehicle localization remains an open, challenging problem. While map-based localization and SLAM algorithms are getting bette…
Non-Invasive Experimental Identification of a Single Particle Model for LiFePO4 Cells
Andrea Trivella, Matteo Corno, Stefano Radrizzani +1
The rapid spread of Lithium-ions batteries (LiBs) for electric vehicles calls for the development of accurate physical models for Battery Management Systems (BMSs). In this work, t…
Learning-Based On-Track System Identification for Scaled Autonomous Racing in Under a Minute
Onur Dikici, Edoardo Ghignone, Cheng Hu +5
Accurate tire modeling is crucial for optimizing autonomous racing vehicles, as state-of-the-art (SotA) model-based techniques rely on precise knowledge of the vehicle's parameters…
Hybrid Imitation-Learning Motion Planner for Urban Driving
Cristian Gariboldi, Matteo Corno, Beng Jin
With the release of open source datasets such as nuPlan and Argoverse, the research around learning-based planners has spread a lot in the last years. Existing systems have shown e…
Multi-Object Tracking with Camera-LiDAR Fusion for Autonomous Driving
Riccardo Pieroni, Simone Specchia, Matteo Corno +1
This paper presents a novel multi-modal Multi-Object Tracking (MOT) algorithm for self-driving cars that combines camera and LiDAR data. Camera frames are processed with a state-of…
LCF3D: A Robust and Real-Time Late-Cascade Fusion Framework for 3D Object Detection in Autonomous Driving
Carlo Sgaravatti, Riccardo Pieroni, Matteo Corno +3
Accurately localizing 3D objects like pedestrians, cyclists, and other vehicles is essential in Autonomous Driving. To ensure high detection performance, Autonomous Vehicles comple…
BUDD-e: an autonomous robotic guide for visually impaired users
Jinyang Li, Marcello Farina, Luca Mozzarelli +7
This paper describes the design and the realization of a prototype of the novel guide robot BUDD-e for visually impaired users. The robot has been tested in a real scenario with th…
LiDAR-Based Vehicle Detection and Tracking for Autonomous Racing
Marcello Cellina, Matteo Corno, Sergio Matteo Savaresi
Autonomous racing provides a controlled environment for testing the software and hardware of autonomous vehicles operating at their performance limits. Competitive interactions bet…
Automatic Navigation Map Generation for Mobile Robots in Urban Environments
Luca Mozzarelli, Simone Specchia, Matteo Corno +1
A fundamental prerequisite for safe and efficient navigation of mobile robots is the availability of reliable navigation maps upon which trajectories can be planned. With the incre…
Handling-Oriented Stiffness Control of a Multichamber Suspension
Gabriele Marini, Giulio Panzani, Matteo Corno +2
This paper deals with the development of a handling-oriented stiffness control strategy using multichamber suspensions. Indeed, being this technology capable of stiffness variabili…
Twin-in-the-loop state estimation for vehicle dynamics control: theory and experiments
Giorgio Riva, Simone Formentin, Matteo Corno +1
In vehicle dynamics control, many variables of interest cannot be directly measured, as sensors might be costly, fragile, or even not available. Therefore, real-time estimation tec…
Experimental Automatic Calibration of a Semi-Active Suspension Controller via Bayesian Optimization
Gianluca Savaia, Youngil Sohn, Simone Formentin +3
The End-of-Line (EoL) calibration of semi-active suspension systems for road vehicles is usually a critical and expensive task, needing a team of vehicle and control experts as wel…