Intelligent Querying Techniques for Sensor Data Fusion

Intelligent Querying Techniques for Sensor Data Fusion

Shi-Kuo Chang (University of Pittsburgh, USA), Gennaro Costagliola (Università di Salerno, Italy), Erland Jungert (Swedish Defense Research Agency, Sweden) and Karin Camara (Swedish Defense Research Agency, Sweden)
DOI: 10.4018/978-1-60566-328-9.ch010
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Abstract

Sensor data fusion imposes a number of novel requirements on query languages and query processing techniques. A spatial/temporal query language called SQL has been proposed to support the retrieval of multimedia information from multiple sources and databases. This chapter investigates intelligent querying techniques including fusion techniques, multimedia data transformations, interactive progressive query building and SQL query processing techniques using sensor data fusion. The authors illustrate and discuss tasks and query patterns for information fusion, provide a number of examples of iterative queries and show the effectiveness of SQL in a command-action scenario.
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Sensor data fusion poses some special problems. First of all, there is no general solution to the problem of sensor data fusion for an unlimited number of different types of sensors. The problem is usually restricted to a limited number of object types observed from a specific perspective by a limited number of sensors (White, 1998). One such example is to select sensors that are looking only at ground objects, primarily vehicles, from a top view perspective where the sensors are carried by a flying platform such as a helicopter. By studying this restricted problem in detail, we may be able to understand better how to deal with complex queries for sensor data fusion. For a more general view on sensor data fusion, see (Hall & Llinas, 2001).

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