Earticle

초록

영어

The lane designation and the bus-only lane system for traffic speed and road safety are difficult to crack down on, and for this purpose, crackdown methods using image recognition technologies are being studied. Existing studies require continuous learning or additional equipment, and it is difficult to classify combined vehicles such as vans and pickup trucks. Therefore, in this study, YOLO and EasyOCR were mixed to classify combined vehicles through vehicle type symbols. For combined vehicles, higher accuracy was shown than classification using YOLO. Due to the nature of Hangul, the accuracy was slightly lowered because the OCR was not accurately recognized, but if it is used with the existing YOLO classification, high accuracy of crackdown will be possible.

목차

Abstract
1. 서론
2. 연구 내용
2.1 차량 번호판 조사
2.2 데이터 수집
2.3 연구 방법
2.4 연구 결과
3. 결론
후기
References

키워드

YOLO You Only Look Once 광학 문자 인식 영상 인식 화물차량 차량 번호판 차종 분류 겸용 차량 딥러닝 YOLO You Only Look Once OCR Image Recognition Cargo Vehicle License Plate Classification of Vehicle Types Combined Vehicle Deep learning

저자

• 이경수 [ K. S. Lee | Member, Researcher, Automotive Semiconductor and Sensor R&D Dept., Korea Automotive Technology Institute ] Corresponding Author
• 임병철 [ B. C. Yim | Member, Senior Researcher, Automotive Semiconductor and Sensor R&D Dept., Korea Automotive Technology Institute ]
• 윤득선 [ D. S. Yun | Member, Executive Principal Researcher, Automotive Semiconductor and Sensor R&D Dept., Korea Automotive Technology Institute ]

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