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http://dx.doi.org/10.14400/JDC.2021.19.5.031

A Study on the Analysis of R&D Trends and the Development of Logic Models for Autonomous Vehicles  

Kim, Gil-Lae (Technology Research Institute, MICEMATRIX)
Publication Information
Journal of Digital Convergence / v.19, no.5, 2021 , pp. 31-39 More about this Journal
Abstract
This study collected 1,870 English news articles related to research and development of autonomous vehicles in order to identify various issues emerging in the research and development process of autonomous vehicles at home and abroad, and conducted topic modeling after data pre-processing. As a result of topic modeling, we extracted 20 topics, and we performed naming operations for topics and interpreted their meanings. A logical model for autonomous vehicle research and development projects was presented in response to the R&D process of input, activity, output, and outcome of derived topics. The analysis results of this study will be used as basic data to accurately determine the progress of domestic and foreign self-driving car research and development projects and prepare for the rapidly changing technology development.
Keywords
Autonomous vehicles; Text mining; R&D; Topic modeling; Logic model;
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