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Multisensor Data Fusion for the Vessel Traffic System.
| 题名： | Multisensor Data Fusion for the Vessel Traffic System. |
| 作者： | Midwood, Sean;Glenn, Ian;Tummala, Murali; |
| 关键词： | ALGORITHMS, DATA FUSION, MULTISENSORS, VESSEL TRAFFIC SYSTEMS, COMPUTERIZED SIMULATION, OUTPUT, MEASUREMENT, DETECTORS, EFFICIENCY, RADAR, IDENTIFICATION, CORRELATION, PLATFORMS, ASSOCIATIVE PROCESSING, REDUNDANCY, AREA COVERAGE. |
| 摘要： | This report describes the development of an algorithm to fuse redundant observations due to multiple sensor coverage of a vessel within the United States Coast Guard (USCG) Vessel Traffic Services (VTS) system. Fuzzy membership functions are used as a measure of correlation, and a fuzzy associative system determines which observations represent the same vessel. The result is a computationally efficient algorithm. The output of the system is a unique set of vessels identified by unique platform identifiers. Results of tests based on computer simulation of overlapping radar coverage show that the fusion algorithm correctly correlates and fuses the sensor observations. |
| 总页数： | 24 |
| 报告类型： | 科技报告 |
相关文献
- A Neural Network Approach to Multisensor Data Fusion for Vessel Traffic Services.
- A Computationally Efficient and Cost Effective Multisensor Data Fusion Algorithm for the United States Coast Guard Vessel Traffic Services System
- Data Fusion Algorithm for the Vessel Traffic Services System. A Fuzzy Associative System Approach.
- Fuzzy Clustering Means Algorithm for Track Fusion in U.S. Coast Guard Vessel Traffic Service Systems.
- Marine Environment, Safety, and Human Factors, 2014. Transportation Research Record: Journal of the Transportation Research Board, No. 2426.
- Marine Environment, Safety, and Human Factors, 2014. Transportation Research Record: Journal of the Transportation Research Board, No. 2426
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