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http://dx.doi.org/10.6109/jkiice.2022.26.8.1248

The Improvement of the LIDAR System of the School Zone Applying Artificial Intelligence  

Park, Moon-Soo (Department of Convergence Engineering, Hoseo Graduate School of Venture)
Park, Dea-Woo (Department of Convergence Engineering, Hoseo Graduate School of Venture)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.26, no.8, 2022 , pp. 1248-1254 More about this Journal
Abstract
Efforts are being made to prevent traffic accidents in the school zone in advance. However, traffic accidents in school zones continue to occur. If the driver can know the situation information in the child protection area in advance, accidents can be reduced. In this paper, we design a camera that eliminates blind spots in school zones and a number recognition camera system that can collect pre-traffic information. It is designed by improving the LIDAR system that recognizes vehicle speed and pedestrians. It collects and processes pedestrian and vehicle image information recognized by cameras and LIDAR, and applies artificial intelligence time series analysis and artificial intelligence algorithms. The artificial intelligence traffic accident prevention system learned by deep learning proposed in this paper provides a forced push service that delivers school zone information to the driver to the mobile device in the vehicle before entering the school zone. In addition, school zone traffic information is provided as an alarm on the LED signboard.
Keywords
Blind spot and number recognition camera; LIDAR; Artificial Intelligence Traffic Accident Prevention System; LED signage;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 Act on the Aggravated Punishment, etc. of Specific Crimes, 2020 [Internet]. Available: https://www.law.go.kr/LSW/lsInfoP.do?efYd=20200505&lsiSeq=213817#0000.
2 2020 Edition of Traffic Accident Statistics Analysis (2019 Statistics), "Road Traffic Authority," pp.54 and 2020 [Internet]. Available: http://taas.koroad.or.kr/%web/bdm/srs/selectStaticalReportsList.do?menuId=WEB_KMP_IDA_SRS_TAA.
3 W. S. Ji, S. Y. Choi, "Safety of Child Protection Zone, which is insufficient under the Min-sik Act," Gyeonggi Research Institute, 2020 [Internet]. Available: https://www.gplib.kr/poc/www/view.do?key=1903277608341&docKey=2005214497097.
4 J. H. Kim and J. H. Lim, "License Plate Detection and Recognition Algorithm using Deep Learning," Journal of IKEEE, vol. 23, no. 2, pp. 642-651, Jun. 2019.   DOI
5 G. S. Lee, Y. J. Kim, and D. K. Ko, "Development of vehicle number recognition program based on deep learning algorithm," Journal of The Korean Cadastre Information Association, vol. 22, no. 2, pp.124-135, Aug. 2020.   DOI
6 Y. R. Byeon and M. B. Park, "Improving camera and radar-based object recognition and lidar fusion recognition performance," in Proceedings of Korea Automotive Engineering Association 2020 Annual Spring Conference, vol. 2020, no. 7, pp.549-550, 2020.
7 A. Bochkovskiy, C. Y. Wang, and H. Y. M. Liao, "YOLOv4: Optimal Speed and Accuracy of Object Detection," arXiv: 2004.10934, Apr. 2020.
8 H. S. Park, P. J. Kim, and S. J. Lee, "Changes of recognition rate in YOLO v4 according to image quality," in Proceedings of Summer Annual Conference of IEIE, Jeje, Korea, vol. 2020, no. 8, pp. 1984-1986, 2020.
9 Road Traffic Act, 2021 [Internet]. Available: https://www.law.go.kr/LSW/lsInfoP.do?efYd=20220420&lsiSeq=236207#0000.
10 J. M. Lee, D. H. Kim, and J. D. Kim, "CPU-based YOLO Performance Enhancement Technique for CCTV Real-time Object Detection," in Proceedings of Korea Computer Congress, Jeju, Korea, vol. 2018, no. 6, pp. 870-872, 2018.
11 G. H. Cho, H. W. Cho, S. M. Oh, J. C. Shin, D. M. Bae, and Y. J. Song, "Image Analysis and Object Recognition Technology using YOLO V3 Algorithms and LIDAR Sensors," in Proceedings of KICS Winter Conference 2019, Pyeongchang, Korea, vol. 2019, no. 1, pp.30-31, 2019.
12 J. H. Park, B. S. Moon, B. J. Kim, G. H. Park, Y. R. Kim, . H. Kim, and H. M. Shim, "Development of Traffic Accident Prevention System in School-zone Based on Artificial Intelligence," in Proceedings of the Korea Information Processing Society Conference, Online, vol. 27, no. 2, pp. 870-87, 2020.