A Study on Data Analysis for Improving Driving Safety in Field Operational Test (FOT) of Autonomous Vehicles
In this study, an autonomous driving test was conducted from the perspective of FOT (field operational test). For data analysis and improvement methods, scenarios for FOT were classified and defined by considering autonomous driving level (SAE J3016) and the viewpoints of the vehicle, driver, road,...
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Format: | Article |
Language: | English |
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MDPI AG
2022-09-01
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Series: | Machines |
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Online Access: | https://www.mdpi.com/2075-1702/10/9/784 |
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author | Seok-San Shin Ho-Joon Kang Seong-Jin Kwon |
author_facet | Seok-San Shin Ho-Joon Kang Seong-Jin Kwon |
author_sort | Seok-San Shin |
collection | DOAJ |
description | In this study, an autonomous driving test was conducted from the perspective of FOT (field operational test). For data analysis and improvement methods, scenarios for FOT were classified and defined by considering autonomous driving level (SAE J3016) and the viewpoints of the vehicle, driver, road, environment, etc. To obtain data from FOT, performance indicators were selected, a data collection environment was implemented in the test cases, and driving roads were selected to obtain driving data from the vehicle while it was driven on an actual road. In the pilot FOT course, data were collected in various driving situations using a test vehicle, and the effect of autonomous driving-related functions on improving driving safety was studied through data analysis of discovered major events. |
first_indexed | 2024-03-09T23:21:49Z |
format | Article |
id | doaj.art-dc42faf039f44e7a90b4b07bc1c6d603 |
institution | Directory Open Access Journal |
issn | 2075-1702 |
language | English |
last_indexed | 2024-03-09T23:21:49Z |
publishDate | 2022-09-01 |
publisher | MDPI AG |
record_format | Article |
series | Machines |
spelling | doaj.art-dc42faf039f44e7a90b4b07bc1c6d6032023-11-23T17:26:49ZengMDPI AGMachines2075-17022022-09-0110978410.3390/machines10090784A Study on Data Analysis for Improving Driving Safety in Field Operational Test (FOT) of Autonomous VehiclesSeok-San Shin0Ho-Joon Kang1Seong-Jin Kwon2Vehicle Safety R&D Center, Korea Automotive Technology Institute (KATECH), 201, Gukgasandanseo-ro, Guji-myeon, Dalseong-gun, Daegu 43011, KoreaVehicle Safety R&D Center, Korea Automotive Technology Institute (KATECH), 201, Gukgasandanseo-ro, Guji-myeon, Dalseong-gun, Daegu 43011, KoreaVehicle Safety R&D Center, Korea Automotive Technology Institute (KATECH), 201, Gukgasandanseo-ro, Guji-myeon, Dalseong-gun, Daegu 43011, KoreaIn this study, an autonomous driving test was conducted from the perspective of FOT (field operational test). For data analysis and improvement methods, scenarios for FOT were classified and defined by considering autonomous driving level (SAE J3016) and the viewpoints of the vehicle, driver, road, environment, etc. To obtain data from FOT, performance indicators were selected, a data collection environment was implemented in the test cases, and driving roads were selected to obtain driving data from the vehicle while it was driven on an actual road. In the pilot FOT course, data were collected in various driving situations using a test vehicle, and the effect of autonomous driving-related functions on improving driving safety was studied through data analysis of discovered major events.https://www.mdpi.com/2075-1702/10/9/784autonomous vehiclefield operational testtest scenariosdata analysis |
spellingShingle | Seok-San Shin Ho-Joon Kang Seong-Jin Kwon A Study on Data Analysis for Improving Driving Safety in Field Operational Test (FOT) of Autonomous Vehicles Machines autonomous vehicle field operational test test scenarios data analysis |
title | A Study on Data Analysis for Improving Driving Safety in Field Operational Test (FOT) of Autonomous Vehicles |
title_full | A Study on Data Analysis for Improving Driving Safety in Field Operational Test (FOT) of Autonomous Vehicles |
title_fullStr | A Study on Data Analysis for Improving Driving Safety in Field Operational Test (FOT) of Autonomous Vehicles |
title_full_unstemmed | A Study on Data Analysis for Improving Driving Safety in Field Operational Test (FOT) of Autonomous Vehicles |
title_short | A Study on Data Analysis for Improving Driving Safety in Field Operational Test (FOT) of Autonomous Vehicles |
title_sort | study on data analysis for improving driving safety in field operational test fot of autonomous vehicles |
topic | autonomous vehicle field operational test test scenarios data analysis |
url | https://www.mdpi.com/2075-1702/10/9/784 |
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