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. [...]
| Original language | English |
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| Publication status | Published - Jun 2021 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Fields of science
- 202017 Embedded systems
- 102 Computer Sciences
- 102009 Computer simulation
- 102013 Human-computer interaction
- 102019 Machine learning
- 102020 Medical informatics
- 102021 Pervasive computing
- 102022 Software development
- 102025 Distributed systems
- 211902 Assistive technologies
- 211912 Product design
JKU Focus areas
- Digital Transformation
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