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http://dx.doi.org/10.22640/lxsiri.2020.50.2.101

A study on trends and predictions through analysis of linkage analysis based on big data between autonomous driving and spatial information  

Cho, Kuk (LX Spatial Information Research Institute)
Lee, Jong-Min (SDI Planning Department, LX)
Kim, Jong Seo (The SEOUL Economic Daily)
Min, Guy Sik (Department of Real Estate, Jeonju University)
Publication Information
Journal of Cadastre & Land InformatiX / v.50, no.2, 2020 , pp. 101-115 More about this Journal
Abstract
In this paper, big data analysis method was used to find out global trends in autonomous driving and to derive activate spatial information services. The applied big data was used in conjunction with news articles and patent document in order to analysis trend in news article and patents document data in spatial information. In this paper, big data was created and key words were extracted by using LDA (Latent Dirichlet Allocation) based on the topic model in major news on autonomous driving. In addition, Analysis of spatial information and connectivity, global technology trend analysis, and trend analysis and prediction in the spatial information field were conducted by using WordNet applied based on key words of patent information. This paper was proposed a big data analysis method for predicting a trend and future through the analysis of the connection between the autonomous driving field and spatial information. In future, as a global trend of spatial information in autonomous driving, platform alliances, business partnerships, mergers and acquisitions, joint venture establishment, standardization and technology development were derived through big data analysis.
Keywords
Autonomous driving; Spatial information; Big data; Platform; HD-map;
Citations & Related Records
Times Cited By KSCI : 9  (Citation Analysis)
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