AEB Simulation Method Based on Vehicle Test Data for Accident Analysis of ADAS Vehicles
The use of vehicles equipped with autonomous emergency braking (AEB), among the most widely employed functions of the advanced driver assistance system (ADAS), is rising, and thus so is demand for analytical services for accident investigation related to AEB issues. In fact, even if the AEB system f...
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Published in | International journal of automotive technology Vol. 25; no. 2; pp. 261 - 277 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Seoul
The Korean Society of Automotive Engineers
01.04.2024
Springer Nature B.V 한국자동차공학회 |
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Abstract | The use of vehicles equipped with autonomous emergency braking (AEB), among the most widely employed functions of the advanced driver assistance system (ADAS), is rising, and thus so is demand for analytical services for accident investigation related to AEB issues. In fact, even if the AEB system functions properly, accidents may still occur due to various causes, such as the malfunction of ADAS sensors, functional or performance limits of ADAS operating algorithms, or driver negligence. Therefore, a clear understanding of the workings of ADAS sensors and ADAS operating algorithms, as well as analytical tools and scientific methods for accident reconstruction and forensic analysis, is required to ensure accuracy and consistency in accident investigation. The present study focused on the reconstruction and analysis of traffic accidents involving autonomous and ADAS vehicles. To this end, an attempt was made to create an AEB simulation environment in which various AEB functions can be implemented and tested. AEB function tests were conducted according to the EuroNCAP AEB's test scenarios to determine the functional characteristics of AEB systems. As such, it was possible to implement an AEB function simulation based on actual vehicle test data. |
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AbstractList | The use of vehicles equipped with autonomous emergency braking (AEB), among the most widely employed functions of the advanced driver assistance system (ADAS), is rising, and thus so is demand for analytical services for accident investigation related to AEB issues. In fact, even if the AEB system functions properly, accidents may still occur due to various causes, such as the malfunction of ADAS sensors, functional or performance limits of ADAS operating algorithms, or driver negligence. Therefore, a clear understanding of the workings of ADAS sensors and ADAS operating algorithms, as well as analytical tools and scientific methods for accident reconstruction and forensic analysis, is required to ensure accuracy and consistency in accident investigation. The present study focused on the reconstruction and analysis of traffic accidents involving autonomous and ADAS vehicles. To this end, an attempt was made to create an AEB simulation environment in which various AEB functions can be implemented and tested. AEB function tests were conducted according to the EuroNCAP AEB's test scenarios to determine the functional characteristics of AEB systems. As such, it was possible to implement an AEB function simulation based on actual vehicle test data. The use of vehicles equipped with autonomous emergency braking (AEB), among the most widely employed functions of theadvanced driver assistance system (ADAS), is rising, and thus so is demand for analytical services for accident investigationrelated to AEB issues. In fact, even if the AEB system functions properly, accidents may still occur due to various causes,such as the malfunction of ADAS sensors, functional or performance limits of ADAS operating algorithms, or drivernegligence. Therefore, a clear understanding of the workings of ADAS sensors and ADAS operating algorithms, as wellas analytical tools and scientifi c methods for accident reconstruction and forensic analysis, is required to ensure accuracyand consistency in accident investigation. The present study focused on the reconstruction and analysis of traffi c accidentsinvolving autonomous and ADAS vehicles. To this end, an attempt was made to create an AEB simulation environment inwhich various AEB functions can be implemented and tested. AEB function tests were conducted according to the EuroNCAPAEB's test scenarios to determine the functional characteristics of AEB systems. As such, it was possible to implement anAEB function simulation based on actual vehicle test data. KCI Citation Count: 1 |
Author | Jeon, Woo Jeong Choi, Ji Hun Lee, Jae Hyeong Kim, Jong Hyuk |
Author_xml | – sequence: 1 givenname: Jong Hyuk surname: Kim fullname: Kim, Jong Hyuk email: jhkim11@korea.kr organization: Traffic Accident Analysis Division, National Forensic Service – sequence: 2 givenname: Jae Hyeong surname: Lee fullname: Lee, Jae Hyeong organization: Traffic Accident Analysis Division, National Forensic Service – sequence: 3 givenname: Ji Hun surname: Choi fullname: Choi, Ji Hun organization: Traffic Accident Analysis Division, National Forensic Service – sequence: 4 givenname: Woo Jeong surname: Jeon fullname: Jeon, Woo Jeong organization: Traffic Accident Analysis Division, National Forensic Service |
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Cites_doi | 10.7467/KSAE.2017.25.6.691 10.3390/app9245380 10.7467/KSAE.2021.29.11.995 10.1016/j.treng.2020.100029 10.1080/15389588.2021.1893700 10.7467/KSAE.2013.21.5.162 10.7467/KSAE.2019.27.10.811 10.1016/j.aap.2016.11.009 10.1155/2014/951214 10.1007/s12239-016-0050-9 10.1016/j.aap.2015.03.029 10.1109/ZINC.2018.8448849 |
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Copyright | The Author(s), under exclusive licence to The Korean Society of Automotive Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Keywords | Prescan Driving simulator AEB (autonomous emergency braking) SCANeR studio EuroNCAP (European new car assessment programme) Traffic accident analysis ADAS (advanced driver assistance system) |
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SubjectTerms | Accident analysis Accident investigation Accident investigations Accident reconstruction Advanced driver assistance systems Algorithms Automotive Engineering Engineering Forensic sciences Negligence Other Fields of Automotive Engineering Sensors Simulation Traffic accidents Traffic accidents & safety Vehicle Dynamics and Control Vehicles 자동차공학 |
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