Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
권호 표지
DOI QR코드

DOI QR Code

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

자율주행자동차 R&D 동향분석과 논리모형 개발에 대한 연구

  • Received : 2021.02.04
  • Accepted : 2021.05.20
  • Published : 2021.05.28
Download PDF
⟨ Previous Next ⟩

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.

본 연구는 국내외 자율주행자동차 연구개발과정에서 나타나고 있는 다양한 이슈를 파악하기 위해 자율주행자동차 연구개발 관련 영문 뉴스 기사 1,870개를 수집하고 데이터 전처리 과정을 거쳐 토픽 모델링을 수행하였다. 토픽모델링 결과 20개의 토픽을 추출하였으며, 토픽에 대한 명명작업을 수행하고 의미를 해석하였다. 도출된 토픽을 투입, 활동, 산출, 성과의 연구개발과정에 대응시켜 자율주행자동차 연구개발사업 논리모형을 제시하였다. 본 연구의 분석결과는 국내외 자율주행자동차 연구개발사업의 추진 상황을 정확하게 판단하고 빠르게 변화하고 있는 기술개발에 대비할 수 있는 기초자료로 활용할 수 있을 것이다.

Keywords

References

  1. SAE International. (2018). J3016 : Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles, SAE International, Warrendale: PA.
  2. K. Y. Park & H. J. An. (2019). The Topic Modeling Analysis of The DMZ Tour Issues Using Text Mining. Journal of Tourism and Leisure Research, 31(4), 143-159. DOI : 10.31336/JTLR.2019.4.31.4.143
  3. Blei, D.M., A. Ng, & M. Jordan. (2003). Latent Dirichlet Allocation, Journal of Machine Learning Research, 3, 993-1022.
  4. J. W. Jeong, J. M. Lee, and S. Y. Choi. (2018). Analysis of news regarding the disabled labor using text mining techniques, Korea Foundation of Differently Abled, 48-100.
  5. H. H. Choi & D. Y Shim. (2020). Analysis of Korean ICT Convergence Trend using Text Mining Methodology. Innovation Studies, 15(3), 257-281. DOI : 10.46251/INNOS.2020.08.15.3.257
  6. S. H. Noh. (2020). Analysis of Issues Related to Artificial Intelligence Based on Topic Modeling. Journal of Digital Convergence, 18(5), 75-87. DOI : 10.14400/JDC.2020.18.5.075
  7. S.I. Donaldson. (2001). Mediator and moderator analysis in program development in S. Sussman(Ed), Handbook of Program Development for Health Behavior Research and Practice, Newbury Park, CA: Sage, 470-496.
  8. C. H. Oh. (2020). Program Logic Model Revisited. Korean Journal of Policy Analysis and Evaluation, 30(3), 1-15. https://doi.org/10.23036/KAPAE.2020.30.3.001
  9. D. Newman, J. H. Lau, K. Grieser, and T. Baldwin. (2010). Automatic evaluation of topic coherence, In Human language technologies: The 2010 annual conference of the north american chapter of the association for computational linguistics, Association for Computational Linguistics, 100-108.
  10. J. H. Lee & W. Y. Kil. (2019). News agenda classification and media diversity analysis using topicmodeling-Based on news on the Presidential New Year Press Conference. Korean Journal of Broadcasting and Telecommunication Studies, 33(1), 161-196.
  11. R. Arun, V. Suresh, C. V. Madhavan, and M. N. Murthy. (2010). On Finding the Natural Number of Topics with Latent Dirichlet Allocation: Some Observations. In Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer, Berlin, Heidelberg, 6118, 391-402. DOI : 10.1007/978-3-642-13657-3_43
  12. S. Crowe. (2020. 12. 8). 10 major mergers & acquisitions in autonomous vehicles. Robot Report, https://www.therobotreport.com/10-major-mergers-acquisitions-autonomous-vehicles/
  13. State of California Department of Motor Vehicles. (2019). 2019 Autonomous Vehicle Disengagement Reports, CA. : Department of Motor Vehicles
  14. C. Iclodean, N. Cordos, and B. O. Varga. (2020). Autonomous Shuttle Bus for Public Transportation: A Review. Energies, 13(11), 1-45. DOI : 10.3390/en13112917
  15. E. Walz. (2020. 9. 15). BMW to Equip Vehicles With Tactical Sensing Software in 2021 With a New Partnership. FutureCar, https://www.futurecar.com/4152/BMW-to-Equip-Vehicles-With-Tactical-Sensing-Software-in-2021-With-a-New-Partnership.
  16. SmartCitiesWorld news team(2020. 8. 21). Autonomous robo-taxis booked for Hangzhou 2022 Asian Games. SmartCitiesWorld, https://www.smartcitiesworld.net/news/news/autonomous-robo-taxis-booked-for-hangzhou-2022-asian-games-5598.
  17. Om Prakash Sharma. (2020. 7. 17). ADLINK, Tier IV, AutoCore partner to develop functional safety middleware for autonomous vehicles. AutoTechinsight, https://autotechinsight.ihsmarkit.com/news/5256189/adlink-tier-iv-autocore-partner-to-develop-functional-safety-middleware-for-autonomous-vehicles.
  18. M. McFarland. (2020. 1. 29). UPS teams up with Waymo to test self-driving delivery vans. CNN Business, https://edition.cnn.com/2020/01/29/tech/ups-waymo-self-driving-package-delivery/index.html.