Spatial query processing based on uncertain location information
DNIS'10 Proceedings of the 6th international conference on Databases in Networked Information Systems
A Kalman filter updating method for the indoor moving object database
Expert Systems with Applications: An International Journal
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A nearest neighbor query is an important notion in spatial databases and moving object databases.In the emerging application fields of moving object technologies, such as mobile sensors and mobile robotics, the location of an object is often imprecise due to noise and estimation errors.We propose techniques for processing a nearest neighbor query when the location of the query object is specified by an imprecise Gaussian distribution. First, we consider two query processing strategies for pruning candidate objects, which can reduce the number of objects that require numerical integration for computing the qualification probabilities.In addition, we consider a hybrid approach that combines the two strategies. The performance of the proposed methods is evaluated using test data.