Abstract
Driver drowsiness is a major cause of fatal traffic accidents. Automated driving might counteract this problem in the end by taking over more and more the driving task and reducing human-made errors in this way. However, in the lower levels of automation, the driver is still responsible as a fallback authority. Consequently, systems for the reliable monitoring and detection of the driver's current state, especially regarding the risk factor drowsiness, are required. [...]
| Originalsprache | Englisch |
|---|---|
| Betreuung / Begutachtung |
|
| Publikationsstatus | Veröffentlicht - Juni 2021 |
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
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SDG 3 – Gute Gesundheit und Wohlergehen
Wissenschaftszweige
- 202017 Embedded Systems
- 102 Informatik
- 102009 Computersimulation
- 102013 Human-Computer Interaction
- 102019 Machine Learning
- 102020 Medizinische Informatik
- 102021 Pervasive Computing
- 102022 Softwareentwicklung
- 102025 Verteilte Systeme
- 211902 Assistierende Technologien
- 211912 Produktgestaltung
JKU-Schwerpunkte
- Digital Transformation
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