????????? ???? ??? ?? ?? (A Study on the Distance Error Correction of Maritime Object Detection System)

??? ?? ?? ?? ??? ?? ???? ???? ??? ??? ????? ?? ?????????? ?????? ?? ??? ???? ?? 3? ??? ???? ???, ?? ?? ?? ???? ????? ?????? ???? ????? ???? ??? ??? ??. ?? ? ????? ????? ?? ??? ????? ???? ?????????? ????? ????, ?? ????? ??????? ????? ??. ???? ??????? ??? ??? ??? ??? ???? ????? ?? ??? ?? ?? ??? ?????. ??? ??? ??? ?? ????, ????? ??????? ?? ???? ??? ??? ?????? ?? ????? ?????. phase 1,2?? ????? ?? ??? ??? ??? ???? ?? 98.5%? ??????, ??????? ?????? ???? 16.3%? ?????. ???? ??? ????? ? ???? ????? ???? ??? ??? ???. ??? ????????? ???? ??? ?? ??????? ?????? ??? ????? ???? ???? ?? ??? ? ?? ??? ????.

Maritime object detection systems, which detects small maritime obstacles such as fish farm buoys and visualizes distance and direction, is equipped with a 3-axis gimbal to compensate for errors caused by hull motion, but there is a limit to distance error corrections necessitated by the vertical movement of the camera and the maritime object due to wave motions. Therefore, in this study, the distance error of maritime object detection systems caused by the movement of the water surface according to the external environment is analyzed and corrected using average filter and moving average filter. Random numbers following a Gaussian standard normal distribution were added to or subtracted from the image coordinates to reproduce the rise or fall of the buoy under irregular waves. The distance calculated according to the change of image coordinates, the predicted distance through the average filter and the moving average filter, and the actual distance measured by laser distance meter were compared. In phases 1 and 2, the error rate increased to a maximum of 98.5% due to the changes of image coordinates due to irregular waves, but the error rate decreased to 16.3% with the moving average filter. This error correction capability was better than with the average filter, but there was a limit due to failure to respond to the distance change. Therefore, it is considered that use of the moving average filter to correct the distance error of the maritime object detection system will enhance responses to the real-time distance change and greatly improve the error rate.