DOI QR코드

DOI QR Code

Development of Smart Mobility System for Persons with Disabilities

장애인을 위한 스마트 모빌리티 시스템 개발

  • Yu, Yeong Jun (Department of Construction Mechanical Engineering, Inha University) ;
  • Park, Se Eun (Department of Mechanical Engineering, Inha University) ;
  • An, Tae Jun (Department of Mechanical Engineering, Inha University) ;
  • Yang, Ji Ho (Department of Mechanical Engineering, Inha University) ;
  • Lee, Myeong-Gyu (Department of Mechanical Engineering, Inha University) ;
  • Lee, Chul-Hee (Department of Construction Mechanical Engineering, Inha University)
  • Received : 2022.10.07
  • Accepted : 2022.11.29
  • Published : 2022.12.01

Abstract

Low fertility rates and increased life expectancy further exacerbate the process of an aging society. This is also reflected in the gradual increase in the proportion of vulnerable groups in the social population. The demand for improved mobility among vulnerable groups such as the elderly or the disabled has greatly driven the growth of the electric-assisted mobility device market. However, such mobile devices generally require a certain operating capability, which limits the range of vulnerable groups who can use the device and increases the cost of learning. Therefore, autonomous driving technology needs to be introduced to make mobility easier for a wider range of vulnerable groups to meet their needs of work and leisure in different environments. This study uses mini PC Odyssey, Velodyne Lidar VLP-16, electronic device and Linux-based ROS program to realize the functions of working environment recognition, simultaneous localization, map generation and navigation of electric powered mobile devices for vulnerable groups. This autonomous driving mobility device is expected to be of great help to the vulnerable who lack the immediate response in dangerous situations.

Keywords

Acknowledgement

이 연구는 농촌진흥청 연구사업 (과제번호: PJ015312022022)의 지원을 받아 연구되었음

References

  1. J. Scobie, Global AgeWatch Index 2015 Insight report, Published by HelpAge International, pp.5-6, 2015.
  2. S. Singh, "Critical reasons for crashes investigated in the national motor vehicle crash causation survey," Washington, DC, USA, Tech. Rep. DOTHS 812 115, 2015.
  3. Yoonseok Pyo, et al. " ROS Robot Programming" , Rubypaper, pp. 327-377, 2017
  4. D. Y. Shin, "A Study on Excavation Path Design of Excavator Considering Motion Limits", Journal of Drive and Control, Vol.18, No.2, pp.20-31, 2021. https://doi.org/10.7839/KSFC.2021.18.2.020
  5. K. H. Han and C. H. Lee, "A Study on the Development of Personal Mobility for the Vulnerable Group" Journal of Drive and Control, Vol.18 No.4 pp.35-42, 2021 https://doi.org/10.7839/KSFC.2021.18.4.035
  6. C. Yang et al., "An Intelligent Spraying Machine Capable of Selective Spraying Corresponding to the Shape of Fruit Trees Using LiDAR", Journal of Drive and Control, Vol.17, No.4, pp.23-30, 2020. https://doi.org/10.7839/KSFC.2020.17.4.023
  7. T. W. Kang, "Considerations for Developing a SLAM System for Real-time Remote Scanning of Building Facilities", Journal of KIBIM, Vol.10, Issue 1, pp.1-8, 2020 https://doi.org/10.13161/KIBIM.2020.10.1.001
  8. Oybek Maripjon Ugli Eraliev, et al. "Sensing, perception, decision, planning and action of autonomous excavators," Automation in Construction, pp 104428, 2022.
  9. B. L. E. A. Balasuriya et al., "Outdoor robot navigation using Gmapping based SLAM algorithm," 2016 Moratuwa Engineering Research Conference ,pp. 403-408, 2016
  10. Rafael Padilla, et al. "A Survey on Performance Metrics for Object-Detection Algorithms", IWSSIP,