Proceedings of the Korea Information Processing Society Conference (한국정보처리학회:학술대회논문집)

  • 2021.11a
  • /
  • Pages.783-786
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  • 2021
  • /
  • 2005-0011(pISSN)
  • /
  • 2671-7298(eISSN)
Korea Information Processing Society (한국정보처리학회)
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A Survey on Point Cloud Research Paradigm Using Point - based Method

Point-based Method 를 사용한 포인트 클라우드 연구 동향

  • Han, Jung-Woo (School of electrical engineering, Korea University) ;
  • Kim, Jong-Kook (School of electrical engineering, Korea University)
  • 한정우 (고려대학교 전기전자공학부) ;
  • 김종국 (고려대학교 전기전자공학부)
  • Published : 2021.11.04
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Abstract

In recent years, the use of LiDAR sensors is increasing as autonomous driving, robot control, and drones are considered more. Contrary to ordinary cameras, LiDAR sensors make it possible to handle challenging problems by calculating the distance between objects. This crucial characteristic makes more active research on deep learning models dealing with point clouds which are data of LiDAR. In this paper, among the schemes of using the point cloud, the Point-based approach is mainly discussed. Furthermore, future streams and insights can be considered by looking at solving methods and the limitations.

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Acknowledgement

This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program(IITP-2021-2018-0-01433) supervised by the IITP(Institute for Information & communications Technology Promotion)