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Highly Parameterizable and Generic Perception Sensor Model Architecture

Linnhoff, Clemens ; Rosenberger, Philipp ; Holder, Martin Friedrich ; Cianciaruso, Nicodemo ; Winner, Hermann (2021):
Highly Parameterizable and Generic Perception Sensor Model Architecture. (Postprint)
In: Automatisiertes Fahren 2020 - Von der Fahrerassistenz zum autonomen Fahren - 6. Internationale ATZ-Fachtagung,
Darmstadt, Springer Vieweg, 6th International ATZ Conference Automated Driving, Wiesbaden, 13.10. - 14.10.2020, ISBN 978-3-658-34752-9,
DOI: 10.26083/tuprints-00018672,
[Conference or Workshop Item]

Abstract

Scenario-based virtual testing is seen as a key element to bring the overall safety validation effort for automated driving functions to an economically feasible level. In this work, a generic and modular architecture for simulation of automotive perception sensors is introduced, as part of the overall virtual testing pipeline. It is based on the functional decomposition of real world perception sensors. All interfaces between the individual modules of the model architecture are oriented on internationally recognized standards and therefore facilitate a high degree of interchangeability. In addition, a wrapper framework handles all outer communication and enables a profile-based parameterization of the model, where every profile reflects a specific set of parameters tailored to the specifications and use case of the end user.

Item Type: Conference or Workshop Item
Erschienen: 2021
Creators: Linnhoff, Clemens ; Rosenberger, Philipp ; Holder, Martin Friedrich ; Cianciaruso, Nicodemo ; Winner, Hermann
Origin: Secondary publication
Status: Postprint
Title: Highly Parameterizable and Generic Perception Sensor Model Architecture
Language: German
Abstract:

Scenario-based virtual testing is seen as a key element to bring the overall safety validation effort for automated driving functions to an economically feasible level. In this work, a generic and modular architecture for simulation of automotive perception sensors is introduced, as part of the overall virtual testing pipeline. It is based on the functional decomposition of real world perception sensors. All interfaces between the individual modules of the model architecture are oriented on internationally recognized standards and therefore facilitate a high degree of interchangeability. In addition, a wrapper framework handles all outer communication and enables a profile-based parameterization of the model, where every profile reflects a specific set of parameters tailored to the specifications and use case of the end user.

Title of Book: Automatisiertes Fahren 2020 - Von der Fahrerassistenz zum autonomen Fahren - 6. Internationale ATZ-Fachtagung
Place of Publication: Darmstadt
Publisher: Springer Vieweg
ISBN: 978-3-658-34752-9
Collation: 12 Seiten
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Institute of Automotive Engineering (FZD)
16 Department of Mechanical Engineering > Institute of Automotive Engineering (FZD) > Driver Assistance
TU-Projects: TÜV Rheinland|19A19004E|SETLevel4to5
Bund/BMWi|19A19002S|VVMethoden
Event Title: 6th International ATZ Conference Automated Driving
Event Location: Wiesbaden
Event Dates: 13.10. - 14.10.2020
Date Deposited: 13 Jul 2021 10:38
DOI: 10.26083/tuprints-00018672
Official URL: https://tuprints.ulb.tu-darmstadt.de/18672
URN: urn:nbn:de:tuda-tuprints-186725
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