Francesco Biral

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Associate Professor

Università degli Studi di Torino

Italy

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About

Francesco Biral is an Associate Professor at Università degli Studi di Trento, Italy. His research interests include vehicle motion planning, control systems, and real-time simulations, as evidenced by his recent publications on topics such as minimum-time maneuvers for artificial drivers and tire-ground modeling. He also explores neural network applications in vehicle dynamics and optimal control for autonomous systems.

Recent Grants

Grant: Close

Accident Avoidance by Active Intervention for Intelligent Vehicles

Open Date: 2010-01-01

Close Date: 2013-09-01

Grant: Close

Advanced Telematics for Enhancing The Safety and Comfort of Mo- torcycle Riders

Open Date: 2007-01-01

Close Date: 2010-10-01

Grant: Close

RICERCA DI BASE SULLA SICUREZZA ATTIVA DEI MOTOCICLI: SISTEMI DI ASSISTENZA ALLA GUIDA PER DISTANZA E VELOCITà DI SICUREZZA.

Open Date: 2004-01-01

Close Date: 2005-12-01

Grant: Close

PReVENT

Open Date: 2004-01-01

Close Date: 2007-09-01

Articles (17)

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2020

Collaborators (5)

Paolo Menaspà

Chief Science Officer

AUSTRALIA

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Enrico Bertolazzi

University of Trento

ITALY

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Daniele Fontanelli

Associate Professor

University of Trento

ITALY

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Marco Frego

Free University of Bozen-Bolzano

ITALY

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Matthias Gerdts

Bundeswehr University Munich

GERMANY

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Francesco Biral

Research Interests

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About

Recent Grants

Articles (17)

A physical tire model for real-time simulations

A Novel Approach for Real-Time Tire-Ground Enveloping Modeling

Computationally Efficient Minimum-Time Motion Primitives for Vehicle Trajectory Planning

How optimal is the minimum-time manoeuvre of an artificial race driver?

Multi-Layered Local Dynamic Map for a Connected and Automated In-Vehicle System

A predictive neural hierarchical framework for on-line time-optimal motion planning and control of black-box vehicle models

A Physics-Driven Artificial Agent for Online Time-Optimal Vehicle Motion Planning and Control

Robust and Sample-Efficient Estimation of Vehicle Lateral Velocity Using Neural Networks With Explainable Structure Informed by Kinematic Principles

Robustness of an Economic Nonlinear Model Predictive Control for Wind Turbines Under Changing Environmental and Wear Conditions

Fast Planning and Tracking of Complex Autonomous Parking Maneuvers With Optimal Control and Pseudo-Neural Networks

Effect of control variable selection in minimum-time optimal control problems for racing motorcycles

A novel Economic Nonlinear Model Predictive Controller for power maximisation on wind turbines

Assessment of bike handling during cycling individual time trials with a novel analytical technique adapted from motorcycle racing

Cooperation between Roads and Vehicles: Field Validation of a Novel Infrastructure-Based Solution for All Road Users’ Safety

Battery Aging-Aware Online Optimal Control: An Energy Management System for Hybrid Electric Vehicles Supported by a Bio-Inspired Velocity Prediction

Aging-Aware Optimal Energy Management Control for a Parallel Hybrid Vehicle Based on Electrochemical-Degradation Dynamics

Minimum Time—Minimum Jerk Optimal Traffic Management for AGVs

Collaborators (5)

Paolo Menaspà

Enrico Bertolazzi

Daniele Fontanelli

Marco Frego

Matthias Gerdts

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