Abstract
Safety is a driving force behind the continuous improvement
and spread of Advanced Driver Assistance Systems
(ADAS). For their operation, ADAS rely on sensor information
which is available within a limited range, and vehicle-toeverything
(V2X) communication is expected to extend virtually
this range, at least as far as the traffic interaction is considered.
For highway operation, traffic interactions are indeed the most
important risk factor for crashes. However, for country roads,
more deaths result from loss of control and collisions with
static obstacles than from traffic interactions. Against this
background, this paper suggests a virtual co-driver (VCD)
which can correct actions of the driver if they present a
potential risk, e.g., an emergency reaction (brake or escape)
would not be possible anymore. The method is tested in
simulation over a set of actual runs on a countryside road,
and it is shown that the VCD is of relevance, both for human
drivers as well as for a controlled vehicle.
| Originalsprache | Englisch |
|---|---|
| Titel | IEEE Conference on Decision and Control |
| Seitenumfang | 8 |
| Publikationsstatus | Veröffentlicht - 2022 |
Wissenschaftszweige
- 206002 Elektromedizinische Technik
- 207109 Schadstoffemission
- 202 Elektrotechnik, Elektronik, Informationstechnik
- 202027 Mechatronik
- 202034 Regelungstechnik
- 203027 Verbrennungskraftmaschinen
- 206001 Biomedizinische Technik
JKU-Schwerpunkte
- Digital Transformation
- Sustainable Development: Responsible Technologies and Management
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