TY - JOUR
T1 - Deep Learning-based Electric Kickboard Helmet Detection under Night Driving Conditions
AU - Kim, Daun
AU - Jeong, Jin Woo
N1 - Publisher Copyright:
© 2022 Korean Institute of Electrical Engineers. All rights reserved.
PY - 2022/10
Y1 - 2022/10
N2 - As the use of electric kickboards has increased recently, the frequency of safety accidents is also increasing. Even though the government amended the road traffic law to make it compulsory to wear a helmet, the helmet-wearing rate is still remarkably low. In this work, we propose a novel method to monitor and detect whether a user of an electric kickboard is wearing a helmet through a deep learning-based object detection network, thereby increasing the helmet-wearing rate. For continuous driver monitoring, the proposed method captures the user's face in a front view using the user's mobile phone attached to the kickboard. In addition, to handle both day and night driving conditions, various image conversion, enhancement, and augmentation techniques were considered and evaluated. The experimental results showed the feasibility of the proposed method.
AB - As the use of electric kickboards has increased recently, the frequency of safety accidents is also increasing. Even though the government amended the road traffic law to make it compulsory to wear a helmet, the helmet-wearing rate is still remarkably low. In this work, we propose a novel method to monitor and detect whether a user of an electric kickboard is wearing a helmet through a deep learning-based object detection network, thereby increasing the helmet-wearing rate. For continuous driver monitoring, the proposed method captures the user's face in a front view using the user's mobile phone attached to the kickboard. In addition, to handle both day and night driving conditions, various image conversion, enhancement, and augmentation techniques were considered and evaluated. The experimental results showed the feasibility of the proposed method.
KW - Deep learning
KW - Electric Kickboard
KW - Helmet detection
KW - Night Driving
KW - Personal mobility driving safety
UR - http://www.scopus.com/inward/record.url?scp=85140140230&partnerID=8YFLogxK
U2 - 10.5370/KIEE.2022.71.10.1411
DO - 10.5370/KIEE.2022.71.10.1411
M3 - Article
AN - SCOPUS:85140140230
SN - 1975-8359
VL - 71
SP - 1411
EP - 1419
JO - Transactions of the Korean Institute of Electrical Engineers
JF - Transactions of the Korean Institute of Electrical Engineers
IS - 10
ER -