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http://dx.doi.org/10.22680/kasa2018.10.4.040

A Study on Development of High Risk Test Scenario and Evaluation from Field Driving Conditions for Autonomous Vehicle  

Chung, Seunghwan (현대자동차 ADAS성능개발팀)
Ryu, Je Myoung (현대자동차 ADAS성능개발팀)
Chung, Nakseung (현대자동차 ADAS성능개발팀)
Yu, Minsang (현대자동차 법규인증1팀)
Pyun, Moo Song (현대자동차 법규인증1팀)
Kim, Jae Bu (현대자동차 법규인증1팀)
Publication Information
Journal of Auto-vehicle Safety Association / v.10, no.4, 2018 , pp. 40-49 More about this Journal
Abstract
Currently, a lot of researches about high risk test scenarios for autonomous vehicle and advanced driver assistance systems have been carried out to evaluate driving safety. This study proposes new type of test scenario that evaluate the driving safety for autonomous vehicle by reconstructing accident database of national automotive sampling system crashworthiness data system (NASS-CDS). NASS-CDS has a lot of detailed accident data in real fields, but there is no data of accurate velocity in accident moments. So in order to propose scenario generation method from accident database, we try to reconstruct accident moment from accident sketch diagram. At the same step, we propose an accident of occurrence frequency which is based on accident codes and road shapes. The reconstruction paths from accident database are integrated into evaluation of simulation environment. Our proposed methods and processor are applied to MILS (Model In the Loop Simulation) and VILS (Vehicle In the Loop Simulation) test environments. In this paper, a reasonable method of accident reconstruction typology for autonomous vehicle evaluation of feasibility is proposed.
Keywords
Autonomous Vehicle; Field Driving Conditions; Accident Data; Evaluation Scenario; Accident Reconstruction;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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