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센서 범위를 고려한 자율주행자동차 교차로 충돌 상황 시뮬레이션
이장우,이명수,정재일,Lee, Jangu,Lee, Myungsu,Jeong, Jayil 한국자동차안전학회 2021 자동차안전학회지 Vol.13 No.4
In this paper, an automated vehicle intersection collision accident was analyzed through simulation. Recently, the more automated vehicles are distributed, the more accidents related to automated vehicles occur. Accidents may show different trends depending on the sensor characteristics of the automated vehicle and the performance of the accident prevention system. Based on NASS-CDS (National Automotive Sampling System-Crashworthiness Data System) and TAAS (Traffic Accident Analysis System), four scenarios are derived and simulations are performed. Automated vehicles are applied with a virtual system consisting of an autonomous emergency braking system and algorithms that predict the route and avoid collisions. The simulations are conducted by changing the sensor angle, vehicle speed, the range of the sensor and vehicle speed range. A range of variables considered vehicle collision were derived from the simulation.
한 차선 내 복수 차량이 존재하는 추돌 상황에서의 ADAS 차량의 차량 인식에 관한 연구
이서항,박상협,최인성,정재일,Lee, Seohang,Park, Sanghyeop,Choi, Inseong,Jeong, Jayil 한국자동차안전학회 2019 자동차안전학회지 Vol.11 No.2
In this study a safety evaluation method is presented for a ADAS vehicle to be tested in collision situation when multiple vehicles are present on a single lane. Test scenarios are developed based on Euro-NCAP assessment scenarios, accident database and related simulation results in previous works. An automated evaluation system that is called as the K-target mover is used for active safety evaluation experiments. The experiments are conducted with two types of tests. First, the rear-end collision tests with 25% and 50% overlap for the test vehicle and target vehicle are conducted with the two kinds of test vehicles. On the other hand, the rear-end collision tests which include multiple vehicles in a single lane with 25% and 50% overlaps, are also conducted. Experimental results show that the test vehicles with ADAS cannot recognize the collision situation sometimes in the developed test scenarios, even in the case that the test vehicle showed stable performance in the simple overlap scenarios.
신윤식,박요한,신재곤,정재일,Shin, Yunsik,Park, Yohan,Shin, Jae-Kon,Jeong, Jayil 한국자동차안전학회 2021 자동차안전학회지 Vol.13 No.4
In this study, The behavior of an autonomous vehicle in an intersection accident situation is predicted. Based on a representative intersection accident situation from actual intersection accident database, simulation was performed by applying the automatic emergency braking algorithm used in the autonomous driving system. Accident reconstruction was performed based on the accident report of the representative accident situation. After applying the autonomous driving system to the accident-related vehicle, the tendency of intersection accidents that may occur in autonomous vehicles was identified and analyzed.