Urban Mobility Redefined: The Role of Autonomous Driving
Introduzione al Corso
The MOOC aims to provide a brief introduction to the AIDA project (Artificial Intelligence Driving Autonomous), part of the National Center for Sustainable Mobility (MOST), illustrating the purpose of the public road urban autonomous driving experimentation promoted by the Politecnico di Milano. The mini-courses focus on the description of autonomous driving technologies applied in different scenarios, both urban and track, with transversal technical insights into the concepts and principles of autonomous driving and a specific focus on the urban projects of the AIDA initiative.Questo progetto è promosso da MOST - Centro Nazionale per la Mobilità Sostenibile, Spoke 6 - Veicoli Connessi ed Autonomi. Progetto finanziato dall'Unione europea - NextGenerationEU - Piano Nazionale Resistenza e Resilienza (PNRR) - Missione 4 Componente 2 Investimento 1.4 - Progetto CN_00000023 denominato Sustainable Mobility Center CUP E93C22001070001. Finanziato dall'Unione europea - Next Generation EU. I punti di vista e le opinioni espresse sono tuttavia solo quelli degli autori e non riflettono necessariamente quelli dell'Unione europea o della Commissione europea. Né l'Unione europea né la Commissione europea possono essere ritenute responsabili per essi.
Spoke Leader: Università degli Studi di Modena e Reggio Emilia
Partner: Politecnico di Milano
Il corso fa parte del progetto MOST. Per maggiori informazioni: https://www.centronazionalemost.it/mooc.html
Tecnologia, Design e Ingegneria
Ore di Formazione0
LivelloIntermedio
Modalità CorsoAutoapprendimento
English
Durata4 Settimane
TipologiaOnline
Stato del CorsoAuto apprendimento
Agenda del Corso
Avvio Iscrizioni
Apertura Corso
Chiusura Corso
Risultati Attesi
- To apprehend the new mobility trend
- Understand how autonomous motorcycles are developed and tested, including the sensor and control system architecture required for their autonomous operation
- Learn how autonomous vehicles communicate with infrastructure (V2I) to avoid dangerous situations, enhancing safety on high-speed road.
- To learn autonomous driving set up on a vehicle in urban scenario and the sensors integrated on it.
- Understand how control systems are used to manage vehicle stability and maneuverability in various driving conditions.
- Learn the basic principles of trajectory management and vehicle movement commands.
- Understand the main techniques used to determine an autonomous vehicle's position in real-time.
- Learn how maps and sensor data are integrated to enhance localization accuracy.
- Understand how sensors are used in autonomous vehicles to detect the surrounding environment.
- Learn the basic principles of object recognition and predicting the behavior of other vehicles and pedestrians
- Learn the fundamental concepts of route planning and navigation optimization.
- Gain knowledge of decision-making processes to ensure the vehicle adheres to traffic rules and follows safe routes.
Pre-requisiti
Bachelor's Degree in Automation and Control Engineering
