A data model and data structures for moving objects databases
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
A foundation for representing and querying moving objects
ACM Transactions on Database Systems (TODS)
IEEE Transactions on Knowledge and Data Engineering
Spatiotemporal Pattern Queries in Secondo
SSTD '09 Proceedings of the 11th International Symposium on Advances in Spatial and Temporal Databases
Spatiotemporal pattern queries
Geoinformatica
A Kalman filter updating method for the indoor moving object database
Expert Systems with Applications: An International Journal
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Moving objects databases managing spatial objects with continuously changing position and extent over time have recently found large interest in the database community. Queries about moving objects become particularly interesting when they ask for temporal changes in the topological relationships between evolving spatial objects. A concept of spatio-temporal predicates has been proposed to describe these relationships. The goal of this paper is to designefficient algorithms for them so that they can be used in spatio-temporal joins and selections. This paper proposes not to design an algorithm for each new predicate individually but to employ a generic algorithmic scheme which is able to cover present and future predicate definitions.