Mattia Manfredini
Comparing different approaches to notify critical events in the operational driving domain of autonomous vehicles using virtual reality simulation.
Rel. Fabrizio Lamberti, Filippo Gabriele Prattico'. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2023
|
Preview |
PDF (Tesi_di_laurea)
- Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (5MB) | Preview |
Abstract
The advent of autonomous vehicles (AVs) brings forth a paramount challenge for the automotive industry, encompassing the task of enhancing the overall comfort, enjoyment, and safety of travel. Specifically, in the context of conditional automated driving, the driver has the ability to participate in non-driving related tasks (NDRTs) while the vehicle operates autonomously. However, there are certain situations in which the system may encounter challenges, prompting a take-over request (TOR). In such cases, the driver is required to regain control of the vehicle until the situation is resolved. The lack of trust people have in the technology stands as one of the primary factors that may hinder a widespread adoption of autonomous vehicles.
A possible solution to this issue consists of the implementation of suitable interfaces, enabling seamless communication between the driver (the passenger, in perspective) and the vehicle
Relatori
Anno Accademico
Tipo di pubblicazione
Numero di pagine
Corso di laurea
Classe di laurea
Aziende collaboratrici
URI
![]() |
Modifica (riservato agli operatori) |
