• Title/Summary/Keyword: Convolutional neural newtork

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Development of Personal Mobility Safety Driving Assistance System Using CNN-Based Object Detection and Boarding Detection Sensor (합성곱 신경망 기반 물체 인식과 탑승 감지 센서를 이용한 개인형 이동수단 주행 안전 보조 시스템 개발)

  • Son, Kwon Joong;Bae, Sung Hoon;Lee, Hyun June
    • Journal of the Korea Convergence Society
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    • v.12 no.10
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    • pp.211-218
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    • 2021
  • A recent spread of personal mobility devices such as electric kickboards has brought about a rapid increase in accident cases. Such vehicles are susceptible to falling accidents due to their low dynamic stability and lack of outer protection chassis. This paper presents the development of an automatic emergency braking system and a safe starting system as driving assistance devices for electric kickboards. The braking system employed artificial intelligence to detect nearby threaening objects. The starting system was developed to disable powder to the motor until when the driver's boarding is confirmed. This study is meaningful in that it proposes the convergence technology of advanced driver assistance systems specialized for personal mobility devices.