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도심지 자율주행 위험도 판단을 위한 다중 동적 물체 데이터 취득에 관한 연구
김현중(Hyeonjung Kim),김정하(Jungha Kim) 한국자동차공학회 2016 한국자동차공학회 학술대회 및 전시회 Vol.2016 No.11
In this paper, when driving using the 2D Laser scanner sensor mounted on the autonomous vehicle proposes a data acquisition method for risk assessment of autonomous driving. It recognizes the urban road environment, and track an object, providing a very important information in autonomous driving. Also, it is required for accuracy and robust of the information on the tracked object for risk assessment. But, 2D Laser scanner sensor measured data is missing or fail to detect due to the characteristics of the object. In this case, It can cause problems when determine risk assessment. To solve this problem, used PDAF(Probabilistic Data Association) algorithm to a robust object tracking and IMM(Interacting Multiple Model) algorithm to track the movement of the object non-specific. And it combines the two algorithms. Using the IMM-PDAF algorithm obtained information of the moving object is used to determine the risk assessment of an autonomous driving.
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김주연(Juyeon KIM),김현중(HyeonJung KIM),이지훈(Jihoon LEE) 전남대학교 어업기술연구소 2018 어업기술연구소보고지 Vol.11 No.1
There is now a growing global interest in global warming. According to the IPCC 5th report on Climate Change, it is reported that global warming will cause changes in fisherys resources such as fish species and fisheries. As a result, the United Nations Framework Convention on Climate Change reported that greenhouse-gas reduction efforts for the industry as a whole would be needed. In the fisherys section, the issue of the responsible fishing was raised at the Cancun meeting in Mexico. Therefore, Korea decided to reduce the 20% of greenhouse-gas emission by 2030 from the basic roadmap for 2030 national GHG reduction, and by 15.5% in the fisherys sector. Until now, various studies have been carried out to reduce GHG emissions. However, analysis that reflects the characteristics of fishing activities by separating fishing activities into mobility, and operation has not been done so far. Therefore, this study is tried to classify the fishing activity and movement at sea using the field measurement data. These data were used at the life cycle assessment analysis for analyzing the GHG emissions from the specified activities. As a result, it was concluded that the greenhouse-gas emission is the highest from the movement activity. Therefore, the movement activity will be needed to reduce GHG emission. In order to reduce greenhouse-gas emissions, it is necessary to introduce an efficient fishery system. Furthermore, it is necessary to reduce the cruising speed from fishing ground to fishing ground for reducing GHG emission from movement activities.
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