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A Study on Basic Technology for Autonomous-Driving Using RC car

RC카를 이용한 자율주행 기초 기술 연구

  • 신재호 (남서울대학교 전자공학과) ;
  • 유재영 (남서울대학교 전자공학과) ;
  • 한준희 (남서울대학교 전자공학과) ;
  • 황인준 (남서울대학교 전자공학과) ;
  • 박형근 (남서울대학교 전자공학과)
  • Received : 2021.11.01
  • Accepted : 2022.02.17
  • Published : 2022.02.28

Abstract

With the recent start of the 4th Industrial Revolution, markets related to autonomous driving are rapidly developing. In order to understand the rapidly developed technology trend of autonomous driving technology, we would like to investigate the characteristics and differences of level 0 to level 5 of autonomous driving. The overall configuration, recognition technology, and auxiliary technologies of autonomous vehicles are analyzed, and through this, the structure and algorithm of autonomous driving technology are identified. In addition, by manufacturing a simulated autonomous RC car using an ultrasonic sensor and a camera, the necessity of recognition technology and auxiliary technology is identified.

최근 4차 산업혁명의 시작으로 인해 자율주행 관련 시장이 빠르게 발전하고 있다. 빠르게 발전하는 자율주행 기술의 기술 동향을 파악하기 위해서 자율주행의 Level 0부터 Level 5까지의 특징 및 차이점에 대해서 알아보고자 한다. 자율주행 차량의 전반적인 구성, 인식기술, 보조기술들을 분석하고, 이를 통해 자율주행 기술에 대한 구조 및 알고리즘을 파악하고자 한다. 또한 초음파 센서와 카메라를 이용한 모의 자율주행 RC카를 제작하여 인식기술과 보조기술의 필요성을 파악한다.

Keywords

References

  1. G. Jeong, Y. Kim, and S. Park, "A Study on diverse perference for driving behaviors of the automated vehicles and the simulation methodology for its impact on the traffic," Report of Korea Transportation Research Institute, Nov. 2020, pp. 1-173.
  2. J. Jang and D. Kwak, "Autonomous Driving Technology and Service," J. of Transportation technology and policy, vol. 8, no. 3, June 2011, pp. 23-30.
  3. H. Lim, "Overview of Image-based Object Recognition AI technology for Autonomous Vehicles," J. of the korea institute of Information and Communication Engineering, vol. 25, no. 8, Aug. 2021, pp. 1117-1123. https://doi.org/10.6109/JKIICE.2021.25.8.1117
  4. G. Seong, G. Min, and J. Choi, "Technology trends and core technologies for self-driving cars. Information and communication open course," J of the Korea institute Of Communication Sciences, vol. 7, no. 1, May 2018, pp. 3-13.
  5. J. Song and S. Hwang, "Past and State-of-the-Art SLAM Technologies," J. of Institute of Control, Robotics and Systems, vol. 20, no. 3, 2014, pp. 372-379. https://doi.org/10.5302/J.ICROS.2014.14.9024
  6. D. Kim, J. Han, M. Lee, and M. Sunwoo, "Detection and Tracking of Moving Objects with a Laser Scanner on a Grid Map for an Autonomous Vehicle," Conf. of Autumn and exhibition of the Korean Society of Automotive Engineers, Jeju, Nov. 2009, pp. 65-68.
  7. Y. Kang, "Standardization and Spectrum Policy for the Introduction of Autonomous V2X," J. of Korean Institute of Electromagnetic Engineering and Science, vol. 32, no. 2, Feb. 2021, pp. 110-118. https://doi.org/10.5515/KJKIEES.2021.32.2.110
  8. W. Hwang, "A Study on Obstacle Avoidance in Ultrasonic Sensor-Based Self-Driving Robots," J. of the korea institute of Information and Communication Engineering, vol. 18, no. 1, Feb. 2015, pp. 30-36.
  9. W. Choi and K. Seok, "Survey on ways to improve the system in preparation for changes in the radio management system," J. of the Korea Institute of Electronic Communication Sciences, vol. 13, no. 6, 2018, pp. 1145-1154. https://doi.org/10.13067/JKIECS.2018.13.6.1145
  10. J. Yang, K. Seok, and H. Sin, "Technological and Social Significance of the Revision of the Radio Law," J. of the Korea Institute of Electronic Communication Sciences, vol. 14, no. 4, 2019, pp. 627-636. https://doi.org/10.13067/JKIECS.2019.14.4.627