Title :
A multi sensor data fusion algorithm for the USCG´S vessel traffic services system
Author :
Midwood, Sean A. ; Glenn, Ian N. ; Tummala, Mural
Author_Institution :
Nat. Defence Headquarters, Ottawa, Ont., Canada
fDate :
31 May-3 Jun 1998
Abstract :
This paper describes the development of an algorithm to fuse redundant observations due to multiple sensor (type and location) coverage in order to provide a significant reduction in duplicate track information provided to Vessel Traffic Services (VTS) operator displays. The design of the algorithm allows acceptance of inputs from any type of sensor (radar, acoustic, GPS, system generated and manual tracks) as long as the basic decision criteria elements are provided. The result of this effort is a computationally efficient and cost effective software solution to a significant system deficiency that impacts greatly on overall waterway safety. The algorithm is tested with real data collected from the VTS system at Puget Sound in September 1996
Keywords :
marine systems; safety systems; sensor fusion; Puget Sound; USCG; United States Coast Guard; decision criteria elements; duplicate track information; multi sensor data fusion algorithm; overall waterway safety; redundant observations; system deficiency; vessel traffic services system; Acoustic sensors; Algorithm design and analysis; Displays; Fuses; Global Positioning System; Radar tracking; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Software safety;
Conference_Titel :
Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-4455-3
DOI :
10.1109/ISCAS.1998.705331