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자율주행 인식기술 개발을 위한 한국형 데이터셋 구축 시스템
백승호(Seungho Baeg),홍범진(Beomjin Hong),나수현(Suhyun Na),임현준(Hyeon Jun Lim) 한국자동차공학회 2018 한국자동차공학회 학술대회 및 전시회 Vol.2018 No.11
This paper presents Korea dataset for autonomous solution that we named KODAS. This dataset aims to support for a development of autonomous navigation technology under the Korean traffic environment. For this, we newly built a data acquisition system that also be delivered in this paper. Our DAQ system has 3 types of 14 environmental perception sensors and 3 types of 6 positioning sensors. The DAQ system records whole sensor data simultaneously. The sensors are highly calibrated and the parameters are given as XML file. We also developed an data annotation software to produce labeled ground truth data and it is included in KODAS. Three APIs written in C++, Python and Matlab are available to read each sensor data.