- Weitere Titel
-
Multimodales Feedback für Insassen automatisierter Fahrzeuge
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
München, Technische Universität München, Dissertation, 2024
- Schlagwort
-
Autonomes Fahrzeug
Fahrerassistenzsystem
Personenkraftwagen
Autofahren
Situation Awareness
Fahrbahn
- Ereignis
-
Veröffentlichung
- (wo)
-
München
- (wer)
-
Universitätsbibliothek der TU München
- (wann)
-
2024
- Urheber
-
Wald, Pia
- Beteiligte Personen und Organisationen
- URN
-
urn:nbn:de:bvb:91-diss-20240603-1720234-1-1
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:27 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Wald, Pia
- Bengler, Klaus
- Remlinger, Wolfram
- Universitätsbibliothek der TU München
Entstanden
- 2024
Ähnliche Objekte (12)
An fNIRS dataset for driving risk cognition of passengers in highly automated driving scenarios
Driving Space for Autonomous Vehicles
Online legal driving behavior monitoring for self-driving vehicles
Self-Driving Vehicles—an Ethical Overview
Driving risk cognition of passengers in highly automated driving based on the prefrontal cortex activity via fNIRS
UNICARagil: Agile Development of Self-Driving Vehicles
Multimodal perception and mapping for autonomous vehicles
Prefrontal Correlates of Passengers’ Mental Activity Based on fNIRS for High-Level Automated Vehicles
Passengers : eine phantasievolle Novelle
Optimal safe driving dynamics for autonomous interacting vehicles
Autonomous vehicles and autonomous driving in freight transport
Real-time eco-driving for connected electric vehicles
An fNIRS dataset for driving risk cognition of passengers in highly automated driving scenarios
Driving Space for Autonomous Vehicles
Online legal driving behavior monitoring for self-driving vehicles
Self-Driving Vehicles—an Ethical Overview
Driving risk cognition of passengers in highly automated driving based on the prefrontal cortex activity via fNIRS
UNICARagil: Agile Development of Self-Driving Vehicles
Multimodal perception and mapping for autonomous vehicles
Prefrontal Correlates of Passengers’ Mental Activity Based on fNIRS for High-Level Automated Vehicles
Passengers : eine phantasievolle Novelle
Optimal safe driving dynamics for autonomous interacting vehicles
Autonomous vehicles and autonomous driving in freight transport
Real-time eco-driving for connected electric vehicles
An fNIRS dataset for driving risk cognition of passengers in highly automated driving scenarios
Driving Space for Autonomous Vehicles
Online legal driving behavior monitoring for self-driving vehicles
Self-Driving Vehicles—an Ethical Overview
Driving risk cognition of passengers in highly automated driving based on the prefrontal cortex activity via fNIRS
UNICARagil: Agile Development of Self-Driving Vehicles
Multimodal perception and mapping for autonomous vehicles
Prefrontal Correlates of Passengers’ Mental Activity Based on fNIRS for High-Level Automated Vehicles
Passengers : eine phantasievolle Novelle
Optimal safe driving dynamics for autonomous interacting vehicles
Autonomous vehicles and autonomous driving in freight transport