Elster, Lukas ; Linnhoff, Clemens ; Rosenberger, Philipp ; Schmidt, Simon ; Stark, Rainer ; Winner, Hermann (2021)
Fundamental Design Criteria for Logical Scenarios in Simulation-based Safety Validation of Automated Driving Using Sensor Model Knowledge.
IV Workshop on Ensuring and Validating Safety for Automated Vehicles. Nagoya (11.07.2021-11.07.2021)
doi: 10.26083/tuprints-00018950
Conference or Workshop Item, Secondary publication, Postprint
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Item Type: | Conference or Workshop Item |
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Type of entry: | Secondary publication |
Title: | Fundamental Design Criteria for Logical Scenarios in Simulation-based Safety Validation of Automated Driving Using Sensor Model Knowledge |
Language: | English |
Date: | 2021 |
Place of Publication: | Darmstadt |
Year of primary publication: | 2021 |
Collation: | 6 ungezählte Seiten |
Event Title: | IV Workshop on Ensuring and Validating Safety for Automated Vehicles |
Event Location: | Nagoya |
Event Dates: | 11.07.2021-11.07.2021 |
DOI: | 10.26083/tuprints-00018950 |
Origin: | Secondary publication |
Abstract: | Scenario-based virtual validation of automated driving functions is a promising method to reduce testing effort in real traffic. In this work, a method for deriving scenario design criteria from a sensor modeling point of view is proposed. Using basic sensor technology specific equations as rough but effective boundary conditions, the accessible information for the system under test are determined. Subsequently, initial conditions such as initial poses of dynamic objects are calculated using the derived boundary conditions for designing logical scenarios. Further interest is given on triggers starting movements of objects during scenarios that are not time but object dependent. The approach is demonstrated on the example of the radar equation and first exemplary results by identifying relevance regions are shown. |
Status: | Postprint |
URN: | urn:nbn:de:tuda-tuprints-189501 |
Classification DDC: | 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering |
Divisions: | 16 Department of Mechanical Engineering > Institute of Automotive Engineering (FZD) |
TU-Projects: | TÜV Rheinland|19A19004E|SETLevel4to5 Bund/BMWi|19A19002S|VVMethoden |
Date Deposited: | 09 Jul 2021 06:45 |
Last Modified: | 22 Jun 2023 13:32 |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/18950 |
PPN: | 48325276X |
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