Autonomous vehicle safety evaluation through a high-fidelity simulation approach

The autonomous vehicle (AV) industry aims to design strategic plans to ensure the safety of the developed systems before their mass deployment. Real-road testing is shown to be impractical for validating these systems as it requires many years if not decades of testing in different environmental con...

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Autores principales:	Barış Cem Baykara, Ehsan Malayjerdi, Mohsen Malayjerdi, Raivo Sell
Formato:	article
Lenguaje:	EN
Publicado:	Estonian Academy Publishers 2021
Materias:	autonomous vehicle simulation safety validation high-fidelity simulator. Science Q
Acceso en línea:	https://doaj.org/article/2e4b7039ed7444a0b5b1724e68cd4f53
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spelling	oai:doaj.org-article:2e4b7039ed7444a0b5b1724e68cd4f532021-11-17T17:48:21ZAutonomous vehicle safety evaluation through a high-fidelity simulation approach1736-60461736-753010.3176/proc.2021.4.07https://doaj.org/article/2e4b7039ed7444a0b5b1724e68cd4f532021-11-01T00:00:00Zhttps://kirj.ee/wp-content/plugins/kirj/pub/proc-4-2021-413-421_20211102064334.pdfhttps://doaj.org/toc/1736-6046https://doaj.org/toc/1736-7530The autonomous vehicle (AV) industry aims to design strategic plans to ensure the safety of the developed systems before their mass deployment. Real-road testing is shown to be impractical for validating these systems as it requires many years if not decades of testing in different environmental conditions. For solving this issue, the method should be complemented with simulation. The primary goal of this research was to develop advanced techniques in the safety validation area by using end-to-end simulation technologies. In this study, we present a simulation approach for safety evaluation of an AV shuttle, iseAuto, currently operating at the Tallinn University of Technology campus. We created a virtual environment by using geospatial data from the specified path on the university campus that includes all relevant features. Then, we converted the map to a 3D format applicable for the SVL simulator. Also, we provided the AV 3D model to use in the simulation and equipped it with the SVL virtual sensors to provide data for the Autoware perception algorithms, which is the control software of the shuttle. To show the efficiency of the proposed method, we designed two overtaking scenarios and observed the AV behaviour under the test. Finally, we demonstrate how the system enables us to evaluate AVÊ¼s decision-making performance and safety in different situations.Barış Cem BaykaraEhsan MalayjerdiMohsen MalayjerdiRaivo SellEstonian Academy Publishersarticleautonomous vehiclesimulationsafety validationhigh-fidelity simulator.ScienceQENProceedings of the Estonian Academy of Sciences, Vol 70, Iss 4, Pp 413-421 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	autonomous vehicle simulation safety validation high-fidelity simulator. Science Q
spellingShingle	autonomous vehicle simulation safety validation high-fidelity simulator. Science Q Barış Cem Baykara Ehsan Malayjerdi Mohsen Malayjerdi Raivo Sell Autonomous vehicle safety evaluation through a high-fidelity simulation approach
description	The autonomous vehicle (AV) industry aims to design strategic plans to ensure the safety of the developed systems before their mass deployment. Real-road testing is shown to be impractical for validating these systems as it requires many years if not decades of testing in different environmental conditions. For solving this issue, the method should be complemented with simulation. The primary goal of this research was to develop advanced techniques in the safety validation area by using end-to-end simulation technologies. In this study, we present a simulation approach for safety evaluation of an AV shuttle, iseAuto, currently operating at the Tallinn University of Technology campus. We created a virtual environment by using geospatial data from the specified path on the university campus that includes all relevant features. Then, we converted the map to a 3D format applicable for the SVL simulator. Also, we provided the AV 3D model to use in the simulation and equipped it with the SVL virtual sensors to provide data for the Autoware perception algorithms, which is the control software of the shuttle. To show the efficiency of the proposed method, we designed two overtaking scenarios and observed the AV behaviour under the test. Finally, we demonstrate how the system enables us to evaluate AVÊ¼s decision-making performance and safety in different situations.
format	article
author	Barış Cem Baykara Ehsan Malayjerdi Mohsen Malayjerdi Raivo Sell
author_facet	Barış Cem Baykara Ehsan Malayjerdi Mohsen Malayjerdi Raivo Sell
author_sort	Barış Cem Baykara
title	Autonomous vehicle safety evaluation through a high-fidelity simulation approach
title_short	Autonomous vehicle safety evaluation through a high-fidelity simulation approach
title_full	Autonomous vehicle safety evaluation through a high-fidelity simulation approach
title_fullStr	Autonomous vehicle safety evaluation through a high-fidelity simulation approach
title_full_unstemmed	Autonomous vehicle safety evaluation through a high-fidelity simulation approach
title_sort	autonomous vehicle safety evaluation through a high-fidelity simulation approach
publisher	Estonian Academy Publishers
publishDate	2021
url	https://doaj.org/article/2e4b7039ed7444a0b5b1724e68cd4f53
work_keys_str_mv	AT barıscembaykara autonomousvehiclesafetyevaluationthroughahighfidelitysimulationapproach AT ehsanmalayjerdi autonomousvehiclesafetyevaluationthroughahighfidelitysimulationapproach AT mohsenmalayjerdi autonomousvehiclesafetyevaluationthroughahighfidelitysimulationapproach AT raivosell autonomousvehiclesafetyevaluationthroughahighfidelitysimulationapproach
_version_	1718425344966393856

Autonomous vehicle safety evaluation through a high-fidelity simulation approach

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