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Research in Autonomous Driving – A Historic Bibliometric View of the Research Development in Autonomous Driving

Author

Listed:
  • Sandra Boric

    (Insitute of Marketing, University of Graz, Graz, Austria)

  • Edgar Schiebel

    (AIT Austrian Institute of Technology GmbH, Vienna, Austria)

  • Christian Schlogl

    (Institute of Operations and Information Systems, University of Graz, Graz, Austria)

  • Michaela Hildebrandt

    (University of Graz, Graz, Austria)

  • Christina Hofer

    (University of Graz, Graz, Austria)

  • Doris M. Macht

    (University of Graz, Graz, Austria)

Abstract

Autonomous driving has become an increasingly relevant issue for policymakers, the industry, service providers, infrastructure companies, and science. This study shows how bibliometrics can be used to identify the major technological aspects of an emerging research field such as autonomous driving. We examine the most influential publications and identify research fronts of scientific activities until 2017 based on a bibliometric literature analysis. Using the science mapping approach, publications in the research field of autonomous driving were retrieved from Web of Science and then structured using the bibliometric software BibTechMon by the AIT (Austrian Institute of Technology). At the time of our analysis, we identified four research fronts in the field of autonomous driving: (I) Autonomous Vehicles and Infrastructure, (II) Driver Assistance Systems, (III) Autonomous Mobile Robots, and (IV) IntraFace, i.e., automated facial image analysis. Researchers were working extensively on technologies that support the navigation and collection of data. Our analysis indicates that research was moving towards autonomous navigation and infrastructure in the urban environment. A noticeable number of publications focused on technologies for environment detection in automated vehicles. Still, research pointed at the technological challenges to make automated driving safe.

Suggested Citation

  • Sandra Boric & Edgar Schiebel & Christian Schlogl & Michaela Hildebrandt & Christina Hofer & Doris M. Macht, 2021. "Research in Autonomous Driving – A Historic Bibliometric View of the Research Development in Autonomous Driving," International Journal of Innovation and Economic Development, Inovatus Services Ltd., vol. 7(5), pages 27-44, December.
    • Handle: RePEc:mgs:ijoied:v:7:y:2021:i:5:p:27-44
    DOI: 10.18775/ijied.1849-7551-7020.2015.75.2003
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    References listed on IDEAS

    as
    1. Hubertus Bardt, 2016. "Deutsche Autoindustrie und autonomes Fahren [German Automotive Industry and Autonomous Driving]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 96(10), pages 776-778, October.
    2. M.J. Cobo & A.G. López-Herrera & E. Herrera-Viedma & F. Herrera, 2011. "Science mapping software tools: Review, analysis, and cooperative study among tools," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(7), pages 1382-1402, July.
    3. Per Ahlgren & Bo Jarneving, 2008. "Bibliographic coupling, common abstract stems and clustering: A comparison of two document-document similarity approaches in the context of science mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(2), pages 273-290, August.
    4. M. M. Kessler, 1963. "Bibliographic coupling between scientific papers," American Documentation, Wiley Blackwell, vol. 14(1), pages 10-25, January.
    5. M.J. Cobo & A.G. López‐Herrera & E. Herrera‐Viedma & F. Herrera, 2011. "Science mapping software tools: Review, analysis, and cooperative study among tools," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(7), pages 1382-1402, July.
    6. Alexander Kopcsa & Edgar Schiebel, 1998. "Science and technology mapping: A new iteration model for representing multidimensional relationships," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(1), pages 7-17.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Science Mapping; Autonomous Driving; Research Fronts; Bibliographic Coupling; Technology Management; Business Intelligence; Technology Watch;
    All these keywords.

    JEL classification:

    • M00 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - General - - - General

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