Abstract
Artificial intelligence (AI) and new sensor technologies are key enablers in the automotive industry for a fully automated self-driving vehicle. In controlled environments, like freeways, few systems have already reached an excellent safety and accuracy level. However, with this trust in automated driver systems come several issues, for instance, it allows the human driver to perform different activities, like writing emails, during a highway drive. Furthermore, the current automated self-drive vehicles are still not capable of handling cutting-edge problems. These limitations can lead to fatal vehicle accidents, as human passengers are not aware of the potentials of the vehicle and the subsequent limitations. In this research study, a consequence analysis is carried out, which shows the correlation between higher trust and potential risk, based on the six levels of the SAE framework. This paper highlights the need for safe, accurate, and robust automated systems that are capable of handling very complex traffic scenarios.
| Original language | English |
|---|---|
| Pages | 1-8 |
| Number of pages | 8 |
| DOIs | |
| Publication status | Published - 21 Jun 2021 |
| Event | ICE/ International Conference on Engineering Technology and Innovation 2021 - Duration: 21 Jun 2021 → 23 Jun 2021 https://www.ice-conference2021.org/ |
Conference
| Conference | ICE/ International Conference on Engineering Technology and Innovation 2021 |
|---|---|
| Period | 21/06/21 → 23/06/21 |
| Internet address |
Keywords
- self-driving vehicles
- trust in automated vehicles
- driver reaction
- safety
- corner cases
- cutting-edge problems
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