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주차 차량의 자세 추정을 위한 번호판 외곽선 검출 방법
최소명(Somyoung Choi),김황근(Hwanggeun Kim),길정환(Jeong Hwan Gil),이재석(Jaeseok Lee),김철수(Chulsoo Kim) 한국자동차공학회 2022 한국자동차공학회 학술대회 및 전시회 Vol.2022 No.11
This paper studies the detection of license plate outline. This study proposes the best method for detecting license plates by calculating the distance from the vehicle through pixel values of license plates detected through various methods for detecting the outline of license plates. The license plate is detected through DNN as a preprocessing process, and an accurate outline is detected based on the image. Estimating the distance and angle is a step for estimating the posture of the vehicle, and the higher the accuracy of detecting the license plate outline of the vehicle, the higher the accuracy of estimating the posture of the vehicle. In this paper, we propose the method with the highest accuracy among the various extraction methods of the outline.
팬터그래프 충전 방식 전기버스 Contact Bar 자동 탐색 및 위치 인식 알고리즘 개발
최소명(Somyoung Choi),김황근(Hwanggeun Kim),길정환(Jeong Hwan Gil),이재석(Jaeseok Lee),이찬호(Chanho Lee),김철수(Chulsoo Kim) 한국자동차공학회 2023 한국자동차공학회 학술대회 및 전시회 Vol.2023 No.11
This paper presents an automatic Contact Bar detection and positioning algorithm for the PentaGraph automatic charging system used in domestic bus garages. The algorithm utilizes deep learning-based image processing techniques to real-time detect Contact Bars, track the movements of the transfer-type connector, and calculate correction values. It efficiently derives correction values for five different scenarios and experimental results demonstrate the effectiveness of this algorithm in practical applications. This research is expected to enhance the accuracy and reliability of high-capacity automatic charging systems for electric buses.