KIEE - The Transactions of the Korean Institute of Electrical Engineers

1

Chorong Kim, 2022 04, Crossing the center line, running on the sidewalk’… Increase in electric kickboard crackdown and accidents, KBS NEWS

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Yewon Yun, 2022 04, 80\% of the crackdown on personal movement is not wearing a safety helmet, Chosun Ilbo

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J. H. Choi, S. S. Oh, K. S. Kim, J. H. Hwang, 2022, Electric Scooter-Related Trauma in Korea, Journal of Korean Medical Science. Korean Academy of Medical Sciences.

4

Heungsik Kim, 2022 03, Electric Kickboard accidents are the most common in ‘darkness’··· Concentrate at night time, which is difficult to identify, AutoHerald

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Jaeung Roh, 2022 05, ‘Enforcement D-1’ kickboard users 88.5\% Wear a helmet, Edaily

6

, 2002, A Study on the Prevention Effect of Traffic Accidents in Unmanned Traffic Control System,

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Jong-Eun Kim, Deok-Su Kim, Jae-Min Jo, Sung-Baek Cheon, Hyeong-Jun Ryu, 2021, Helmet’s Go, Journal of the Korean Electrical Society, pp. 204

8

Kyoung-Youn Ham, Jung-Woo Lee, Jang-Hyeon Lee, Gil-Nam Kang, Young-Jun Jo, Dong-Hoon Park, Myung-chun Ryoo, 2022, System for Detection not Wearing Helmet using Deep Learning Video Recognition, Proceedings of the Korean Society of Computer Information Conference 30, pp. 277-278

9

Tae-Won Kang, Jang Kyu Min, Pyeong Hong Min, Jang Sik Park, Jeong Junho, Seungmin Oh, Gayoung Kim, 2020, A Method for Detecting Helmet Wear Using Yolo, Proceedings of the IEEK Conference, pp. 2117-2119

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Daun Kim, Ha-Yeong Yoon, Ha-Yeong Yoon, Jin-Woo Jeong, 2021, Proposal and Performance Evaluation of Deep Learning-based Electric Kickboard Helmet Detection, Proceedings of the ESK Conference, pp. 354-354

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R. Kvyetnyy, R. Maslii, V. Harmash, I. Bogach, A. Kotyra, Ż. Grądz, N. Askarova, 2017, August 7, Object detection in images with low light condition., (R. S. Romaniuk & M. Linczuk, Eds.), SPIE Proceedings. SPIE.

12

YoungJoon Hwang, Jinha Song, Hyungbin Moon, Jongho Nang, 2021 12, Development of Risky Objects to Pedestrian Detector based on Deep-Learning for Night Time CCTV Video Analysis, Communications of the Korean Institute of Information Scientists and Engineers

13

Sangheum Cho, Ryong Lee, Jaemin Na, Youngbin Kim, Minwoo Park, Sanghwan Lee, Wonjun Hwang, 2019 01, CycleGAN- based Object Detection under Night Environments, Journal of Korea Multimedia Society, Vol. 22, No. 1, pp. 44-54

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, , , http://aihub.or.kr/aidata

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J.Y. Zhu, T. Park, P. Isola, A.A. Efros, 2017, Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks, Proceeding of International Conference on Computer Vision, pp. 2242-2251

16

J. Redmon, A. Farhadi, 2018, YOLOv3: An Incremental Improvement (Version 1).,

17

S. Ren, K. He, R. Girshick, J. Sun, 2015, Faster r-cnn: Towards real-time object detection with region proposal networks, In NIPS

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H. Zhang, Y. Wang, F. Dayoub, N. Sunderhauf, 2020, VarifocalNet: An IoU-aware Dense Object Detector (Version 2)., arXiv.

19

T.-Y. Lin, P. Dollar, R. Girshick, K. He, B. Hariharan, S. Belongie, 2016, Feature Pyramid Networks for Object Detection (Version 2)., arXiv.

20

Z. Tian, C. Shen, H. Chen, T. He, 2019, FCOS: Fully Convolutional One-Stage Object Detection (Version 5), arXiv.

21

, , , https://github.com/open-mmlab/mmdetection

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K. He, X. Zhang, S. Ren, J. Sun, 2015, Deep Residual Learning for Image Recognition (Version 1)., arXiv.

23

S. Xie, R. Girshick, P. Dollar, Z. Tu, K. He, 2016, Aggregated Residual Transformations for Deep Neural Networks (Version 2)., arXiv.

24

Jae-Min Park, Vien Gia An, Chul Lee, 2021, Feature Map Fusion-based Global Transformation Function Estimation for Low-Light Image Enhancement, Proceedings of the IEEK Conference, pp. 2332-2334

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Hunsang Lee, Kwanghoon Sohn, Dongbo Min, 2020, Unsupervised Learning with Natural Low-light Image Enhancement, Journal of Korea Multimedia Society 23, 2, Vol. , No. , pp. 135-145

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C. Guo, C. Li, J. Guo, C. C. Loy, J. Hou, S. Kwong, R. Cong, 2020, Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement, ArXiv.

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J. Yoo, Y. Uh, S. Chun, B. Kang, J.-W. Ha, 2019, Photorealistic Style Transfer via Wavelet Transforms (Version 2)., arXiv.

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L. Taylor, G. Nitschke, 2017, Improving Deep Learning using Generic Data Augmentation (Version 1)., arXiv.

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Z. Cui, G.-J. Qi, L. Gu, S. You, Z. Zhang, T. Harada, 2022, Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection (Version 1)., arXiv.

30

W. Chen, T. Shah, 2021, Exploring Low-light Object Detection Techniques (Version 1)., arXiv.

KIEEThe Transactions of
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KIEEThe Transactions ofthe Korean Institute of Electrical Engineers