Capturing the Uncertainty of Moving-Object Representations

摘要: Spatiotemporal applications, such as fleet management and air traffic control, involving continuously moving objects are increasingly at the focus of research efforts. The representation changing positions is fundamentally important in these applications. This paper reports on on-going moving-point objects. More specifically, object sampled using Global Positioning System, interpolation applied to determine in-between samples. Special attention given quantification position uncertainty introduced by sampling technique interpolation. In addition, considers use for query processing proposed conjunction with indexing. It demonstrated how queries may be answered standard filter-and-refine approach known from spatial processing.