Maneuvering vessel detection and tracking (VDT), incorporated with state estimation and trajectory prediction, are important tasks for vessel navigational systems (VNSs), as well as vessel traffic monitoring and information systems (VTMISs) to improve maritime safety and security in ocean navigation. Although conventional VNSs and VTMISs are equipped with maritime surveillance systems for the same purpose, intelligent capabilities for vessel detection, tracking, state estimation, and navigational trajectory prediction are underdeveloped. Therefore, the integration of intelligent features into VTMISs is proposed in this paper. The first part of this paper is focused on detecting and tracking of a multiple-vessel situation. An artificial neural network (ANN) is proposed as the mechanism for detecting and tracking multiple vessels. In the second part of this paper, vessel state estimation and navigational trajectory prediction of a single-vessel situation are considered. An extended Kalman filter (EKF) is proposed for the estimation of vessel states and further used for the prediction of vessel trajectories. Finally, the proposed VTMIS is simulated, and successful simulation results are presented in this paper.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Maritime Traffic Monitoring Based on Vessel Detection, Tracking, State Estimation, and Trajectory Prediction


    Contributors:


    Publication date :

    2012-09-01


    Size :

    1081249 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Vessel Trajectory Prediction in Maritime Transportation: Current Approaches and Beyond

    Zhang, Xiaocai / Fu, Xiuju / Xiao, Zhe et al. | IEEE | 2022


    Bidirectional Data-Driven Trajectory Prediction for Intelligent Maritime Traffic

    Xiao, Ye / Li, Xingchen / Yao, Wen et al. | IEEE | 2023


    Optimizing Maritime Vessel Trajectory Prediction Using Space-Based AIS Data and PSO-BiGRU

    Rahayu, Dicka Ariptian / Widyawan / Ardiyanto, Igi et al. | IEEE | 2024


    Maritime Vessel Detection and Tracking under UAV Vision

    Li, YongShuai / Yuan, Haiwen / Wang, Yuan et al. | IEEE | 2022