Scipediacontent: Scipediacontent moved page Draft Content 745370652 to Gnandt et al 2019a

2021-01-28T21:22:05Z

Scipediacontent moved page Draft Content 745370652 to Gnandt et al 2019a

Scipediacontent: Created page with " == Abstract == utomation of the driving task continues to progress rapidly. In addition to improving the algorithms, proof of their safety is still an unsolved problem. For..."

2021-01-28T21:22:00Z

Created page with " == Abstract == utomation of the driving task continues to progress rapidly. In addition to improving the algorithms, proof of their safety is still an unsolved problem. For..."

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== Abstract ==

utomation of the driving task continues to progress rapidly. In addition to improving the algorithms, proof of their safety is still an unsolved problem. For an automated driving function that does not require permanent monitoring by the driver, a theoretically infinite number of possible traffic situations must be tested. One promising method to overcome this problem is the scenario-based approach. This approach shall enable an economic certification of automated driving functions with sufficient test space coverage. However, even with this approach, the selection of the scenarios to be tested is still problematic. The first step is to consider a driver assistance system in order to reduce complexity. For the Lane Keeping Assist System under consideration, this paper defines a methodology as well as the scenarios for a comprehensive yet economically-feasible certification. Economical-feasibility of the presented methodology is shown in the results by an approximation of the resulting simulation costs for executing the defined test cases.

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.5220/0007678603330342 http://dx.doi.org/10.5220/0007678603330342]

* [https://doi.org/10.5220/0007678603330342 https://doi.org/10.5220/0007678603330342] under the license cc-by-nc-nd

* [https://dblp.uni-trier.de/db/conf/vehits/vehits2019.html#PonnFGL19 https://dblp.uni-trier.de/db/conf/vehits/vehits2019.html#PonnFGL19],
: [http://mediatum.ub.tum.de/node?id=1510003 http://mediatum.ub.tum.de/node?id=1510003],
: [https://academic.microsoft.com/#/detail/2947485690 https://academic.microsoft.com/#/detail/2947485690]

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Gnandt et al 2019a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 745370652 to Gnandt et al 2019a

Scipediacontent: Created page with " == Abstract == utomation of the driving task continues to progress rapidly. In addition to improving the algorithms, proof of their safety is still an unsolved problem. For..."