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Development of Smart driving monitoring device for Personal Mobility through Confusion Matrix verification

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2022, 27(2), pp.61-69
  • DOI : 10.9708/jksci.2022.27.02.061
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : December 23, 2021
  • Accepted : February 4, 2022
  • Published : February 28, 2022

Ju-Wan Han 1 Seong-Hyun Park 1 Chae-Hyeon Sim 1 Ju-Won Whang 1

1포항공과대학교

Accredited

ABSTRACT

As the delivery industry grew around the restaurant industry along with the COVID-19 situation, the number of delivery workers increased significantly. Along with that, new forms of delivery using personal mobility (PM) also emerged and two-wheeled or PM-related accidents are steadily increasing. This study manufactures a PM’s driving analysis device to establish a safe delivery monitoring environment. This system was constructed to process data collected from the driving analysis device and through a cloud server, which would recognize and record special situations (acceleration/deceleration, speed bump) that could occur during the PM's driving situation. As a result, the angular speed, acceleration, and geomagnetic values collected from the IMU in the device were able to determine whether to drive, drive on the sidewalk, and drive on the speed bump. This technology was able to achieve approximately 1600 times more driving information storage efficiency than conventional image-based recording devices.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.