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.
| Original language | English |
|---|---|
| Title of host publication | IEEE Conference on Decision and Control |
| Number of pages | 8 |
| Publication status | Published - 2022 |
Fields of science
- 206002 Electro-medical engineering
- 207109 Pollutant emission
- 202 Electrical Engineering, Electronics, Information Engineering
- 202027 Mechatronics
- 202034 Control engineering
- 203027 Internal combustion engines
- 206001 Biomedical engineering
JKU Focus areas
- Digital Transformation
- Sustainable Development: Responsible Technologies and Management
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