2005
DOI: 10.1016/j.eswa.2005.06.022
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Representing moving objects in computer-based expert systems: the overtake event example

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Cited by 50 publications
(34 citation statements)
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“…For example, (+, 0) means that the 1 st object is moving away from the 2 nd object , s position and the 2 nd object is stable with respect to the 1 st object , s position. QTC B is expressive enough to describe movements such as a carnivore hunting a prey; but for movements such as vehicles traversing a crossroads, the complex double-cross direction (Freksa, 1992) frame is needed and so the QTC Double-Cross(QTC C ) (de Weghe et al, 2005a) has been defined. QTC C includes 81 base relations and the rules for composing relations are given in (de Weghe et al, 2005b).…”
Section: Moving Objectsmentioning
confidence: 99%
“…For example, (+, 0) means that the 1 st object is moving away from the 2 nd object , s position and the 2 nd object is stable with respect to the 1 st object , s position. QTC B is expressive enough to describe movements such as a carnivore hunting a prey; but for movements such as vehicles traversing a crossroads, the complex double-cross direction (Freksa, 1992) frame is needed and so the QTC Double-Cross(QTC C ) (de Weghe et al, 2005a) has been defined. QTC C includes 81 base relations and the rules for composing relations are given in (de Weghe et al, 2005b).…”
Section: Moving Objectsmentioning
confidence: 99%
“…Depending on the level of detail and the number of spatial dimensions, different types of QT C are defined and studied in detail in , all belonging to QT C -Basic (QT C B ) or QT C -Double Cross (QT C C ). In Van de Weghe et al (2005), QT C C is presented and its usefulness is illustrated by means of an example: the overtake event. In this paper, we present the Qualitative Trajectory Calculus -Basis (QT C B ).…”
Section: Introductionmentioning
confidence: 99%
“…Hereafter, we focus on the automatic recognition of activities from the interpretation of trajectories. Spatio-temporal configurations between two mobile entities can be detected by analyzing their relative distances and speeds [7,8]. B. Gottfried defines a spatio-temporal model based on the analysis of the evolution of relative directions between two mobile entities [9].…”
Section: Introductionmentioning
confidence: 99%