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NTIS 바로가기韓國컴퓨터情報學會論文誌 = Journal of the Korea Society of Computer and Information, v.27 no.8, 2022년, pp.61 - 68
Yoon, Seung-Won (Dept. of Computer Science, Chung-nam National University) , Lee, Won-Hee (Dept. of Computer Science, Chung-nam National University) , Lee, Kyu-Chul (Dept. of Computer Science, Chung-nam National University)
In this paper, we propose a system to predict the GPS trajectory of a pedestrian based on a deep learning model. Pedestrian trajectory prediction is a study that can prevent pedestrian danger and collision situations through notifications, and has an impact on business such as various marketing. In ...
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