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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Main Authors: Seok-San Shin, Ho-Joon Kang, Seong-Jin Kwon
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Machines
Subjects:
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.
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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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