OCULUS Sea Track Fusion Service

Stylianos C. Panagiotou; Constantinos Rizogiannis; Stavros Katsoulis; Vassilis Lampropoulos; Sotirios Kanellopoulos; Stelios C. A. Thomopoulos

doi:10.1117/12.2177112

5 June 2015 OCULUS Sea Track Fusion Service

Stylianos C. Panagiotou, Constantinos Rizogiannis, Stavros Katsoulis, Vassilis Lampropoulos, Sotirios Kanellopoulos, Stelios C. A. Thomopoulos

Author Affiliations +

Proceedings Volume 9474, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV; 94740M (2015) https://doi.org/10.1117/12.2177112
Event: SPIE Defense + Security, 2015, Baltimore, MD, United States

Abstract

Oculus Sea is a complete solution regarding maritime surveillance and communications at Local as well as Central Command and Control level. It includes a robust and independent track fusion service whose main functions include: 1) Interaction with the User to suggest the fusion of two or more tracks, confirm Track ID and Vessel Metadata creation for the fused track, and suggest de-association of two tracks 2) Fusion of same vessel tracks arriving simultaneously from multiple radar sensors featuring track Association, track Fusion of associated tracks to produce a more accurate track, and Multiple tracking filters and fusion algorithms 3) Unique Track ID Generator for each fused track 4) Track Dissemination Service. Oculus Sea Track Fusion Service adopts a system architecture where each sensor is associated with a Kalman estimator/tracker that obtains an estimate of the state vector and its respective error covariance matrix. Finally, at the fusion center, association and track state estimation fusion are carried out. The expected benefits of this system include multi-sensor information fusion, enhanced spatial resolution, and improved target detection.

Citation Download Citation

Stylianos C. Panagiotou, Constantinos Rizogiannis, Stavros Katsoulis, Vassilis Lampropoulos, Sotirios Kanellopoulos, and Stelios C. A. Thomopoulos "OCULUS Sea Track Fusion Service", Proc. SPIE 9474, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV, 94740M (5 June 2015); https://doi.org/10.1117/12.2177112

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