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http://dx.doi.org/10.15207/JKCS.2021.12.10.211

Development of Personal Mobility Safety Driving Assistance System Using CNN-Based Object Detection and Boarding Detection Sensor  

Son, Kwon Joong (Department of Mechanical and Design Engineering, Hongik University)
Bae, Sung Hoon (Department of Mechanical and Design Engineering, Hongik University)
Lee, Hyun June (Department of Mechanical and Design Engineering, Hongik University)
Publication Information
Journal of the Korea Convergence Society / v.12, no.10, 2021 , pp. 211-218 More about this Journal
Abstract
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.
Keywords
Personal mobility; Driver assistance; Object detection; Convolutional neural newtork; Convergence design;
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