해상 상황 인식을 위한 해상 장애물의 위치 추적 및 경로 예측 기술에 대한 기술의 기초 연구

Abstract

Maritime situational awareness is essential to develop autonomous surface ship. Maritime obstacles should be recognized and identified by various sensors. For this purpose, trajectory tracking and prediction of the maritime obstacles should be performed. This paper utilizes position data of maritime vessels from AIS to estimate and predict trajectory. Both tracking filter based method and deep-learning based method are implemented using the AIS data. As a preliminary result,trajectory prediction for a maritime vessel was performed based on the AIS position data.