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http://dx.doi.org/10.12815/kits.2021.20.5.202

Study on the Evaluation Method of Autonomous Vehicle Driving Ability Based on Virtual Reality  

Kim, Joong Hyo (Department of Convergence Technology, Traffic Science Institute, Korea Road Traffic Authority)
Kim, Do Hoon (FORUM8 KOREA Co., Ltd)
Joo, Sung Kab (Dept. of Smart Cities, University of Seoul)
Oh, Seok Jin (Civil & Environmental engineering, University of Honam)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.20, no.5, 2021 , pp. 202-217 More about this Journal
Abstract
Following the fatal accident of pedestrians caused by Autonomous Vehicle by Uber, the world's largest ride-hailing company, two people were killed in a self-driving car accident by Tesla in April. There is a need to ensure the safety of road users. Accordingly, in order to secure the safety of Autonomous Vehicle driving, it is necessary to evaluate Autonomous Vehicle driving technologies in various situations based on the road and traffic environment in which the Autonomous vehicle will actually drive. Therefore, this study used UC-win/Road ver.14.0 based on general driver's license test questions to present a virtual reality-based Autonomous Vehicles driving ability evaluation tool among various driving ability test method. Based on this, it was intended to test driving ability for unexpected situations in complex and diverse driving environments, and to confirm its practical applicability as an optimal tool for Autonomous vehicle ability test and evaluation.
Keywords
Autonomous Vehicle driving ability; Road Traffic Law; Virtual Reality environment; UC win-Road; Autonomous Vehicle driving ability test and evaluation system;
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  • Reference
1 Korea Road Traffic Authority(2020), Traffic Science Research Brief, vol. 25, no. 2, pp.2-7.
2 Kim B. S. et al.(2019), "A Study on the Field-Based Evaluation Technology of Automated-driving Operation Design Domain," Korea Intelligent Automotive Parts Promotion Institute, Spring Conference, pp.776-777.
3 Korea Institute of Civil Engineering and Building Technology(2019), Report on the Development of Hardware for Autonomous Vehicle Control.
4 Korea Road Traffic Authority(2019), Traffic Science Research Brief, vol. 22, no. 3, pp.2-11.
5 Ministry of Land, Infrastructure and Transport(2016b), Development of Safety Evaluation Technology for Autonomous Driving Vehicles and Establishment of Actual Road Evaluation Environment Report.
6 Ministry of Land, Infrastructure and Transport(2019), Report on the Development of Safety Assessment Technology and Test Bed for Autonomous Driving Vehicles.
7 Ministry of Land, Infrastructure and Transport(2016a), Development of Safety Evaluation Technology for Autonomous Driving Vehicles and Establishment of Actual Road Evaluation Environment Phase2 Report.
8 Chung S. H. et al.(2018), "A Study on Development of High Risk Test Scenario and Evaluation from Field Driving Conditions for Autonomous Vehicle," Journal of Auto-Vehicle Safety Association, vol. 10, no. 4, pp.40-49.
9 Korea Road Traffic Authority(2018), A Study on the Development of AI Autonomous Driving Capability Evaluation Techniques and Models.