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

• Published in: IEEE transactions on intelligent transportation systems Vol. 13; no. 3; pp. 1188 - 1200
• Main Authors: Perera, Lokukaluge P., Oliveira, Paulo, Guedes Soares, C.
• Format: Journal Article
• Language: English
• Published: IEEE 01.09.2012
• Subjects: Artificial neural networks; Extended Kalman filter (EKF); Kalman filters; Marine vehicles; Monitoring; neural networks; Radar tracking; Sensors; ship detecting and tracking; ship navigational trajectory prediction; State estimation; Trajectory; vessel state estimation (VSE); vessel traffic monitoring and information system (VTMIS)

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...