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인프라 연계 자율주행 실도로 실증(FOT) 데이터 분석에 대한 연구
이진서(Jinseo Lee),박부근(Bookeun Park),신석산(Seoksan Shin),강호준(Hojoon Kang) 한국자동차공학회 2023 한국자동차공학회 학술대회 및 전시회 Vol.2023 No.11
An autonomous driving technology improves rapidly, various autonomus driving services are introduced. However, there are still emerging problems regarding sudden situations such as the vehicle stagnation and accidents. In order to improve the safety of the autonomous vehicle on the road and ensure smooth autonomous driving, it is necessary to conduct the demonstration, evaluation, and analysis on the road that linking the autonomous vehicle and infrastructure. In this paper, to analyze data related to the autonomous vehicle and infrastructure, data is collected from the vehicle and infrastructure regarding unexpected situations that occur while the autonomous vehicle is driving. Through this, data analysis verifies sensors recognition rate based on the collected data. In addition, it explains how the driving performance of the autonomous vehicle can be improved by complementing problems that are difficult to solve with sensors by connecting the vehicle and infrastructure.