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Method of Evaluating Multiple Scenarios in a Single Simulation Run for Automated Vehicle Assessment

With advances in the technology applied to automated driving systems (ADSs), active efforts have been made to evaluate the safety of ADS in various complex situations using simulations. In accordance with these efforts, numerous institutions have developed single-scenario pools that reflect a variet...

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Autores principales: Kim, Inyoung, Kang, Donghyo, Jeong, Harim, Lee, Soomok, Yun, Ilsoo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10574863/
https://www.ncbi.nlm.nih.gov/pubmed/37837100
http://dx.doi.org/10.3390/s23198271
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author Kim, Inyoung
Kang, Donghyo
Jeong, Harim
Lee, Soomok
Yun, Ilsoo
author_facet Kim, Inyoung
Kang, Donghyo
Jeong, Harim
Lee, Soomok
Yun, Ilsoo
author_sort Kim, Inyoung
collection PubMed
description With advances in the technology applied to automated driving systems (ADSs), active efforts have been made to evaluate the safety of ADS in various complex situations using simulations. In accordance with these efforts, numerous institutions have developed single-scenario pools that reflect a variety of road and traffic characteristics and ADS performances. However, a single scenario has limitations in comprehensively evaluating the performance of complex ADS. Therefore, this study proposed a methodology that combines and transforms single scenarios into multiple scenarios. This aided in continuously evaluating the ADS performance over entire road segments and implemented this methodology in the simulations.
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spelling pubmed-105748632023-10-14 Method of Evaluating Multiple Scenarios in a Single Simulation Run for Automated Vehicle Assessment Kim, Inyoung Kang, Donghyo Jeong, Harim Lee, Soomok Yun, Ilsoo Sensors (Basel) Article With advances in the technology applied to automated driving systems (ADSs), active efforts have been made to evaluate the safety of ADS in various complex situations using simulations. In accordance with these efforts, numerous institutions have developed single-scenario pools that reflect a variety of road and traffic characteristics and ADS performances. However, a single scenario has limitations in comprehensively evaluating the performance of complex ADS. Therefore, this study proposed a methodology that combines and transforms single scenarios into multiple scenarios. This aided in continuously evaluating the ADS performance over entire road segments and implemented this methodology in the simulations. MDPI 2023-10-06 /pmc/articles/PMC10574863/ /pubmed/37837100 http://dx.doi.org/10.3390/s23198271 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kim, Inyoung
Kang, Donghyo
Jeong, Harim
Lee, Soomok
Yun, Ilsoo
Method of Evaluating Multiple Scenarios in a Single Simulation Run for Automated Vehicle Assessment
title Method of Evaluating Multiple Scenarios in a Single Simulation Run for Automated Vehicle Assessment
title_full Method of Evaluating Multiple Scenarios in a Single Simulation Run for Automated Vehicle Assessment
title_fullStr Method of Evaluating Multiple Scenarios in a Single Simulation Run for Automated Vehicle Assessment
title_full_unstemmed Method of Evaluating Multiple Scenarios in a Single Simulation Run for Automated Vehicle Assessment
title_short Method of Evaluating Multiple Scenarios in a Single Simulation Run for Automated Vehicle Assessment
title_sort method of evaluating multiple scenarios in a single simulation run for automated vehicle assessment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10574863/
https://www.ncbi.nlm.nih.gov/pubmed/37837100
http://dx.doi.org/10.3390/s23198271
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