3D modeling moving objects under uncertainty conditions

Abstract

Geospatial information systems (GIS) have been applied in modeling environmental and ecological systems. 3D Moving objects are spatiotemporal objects whose location andlor extent change over time, and they are among those recent evolutions that emerged to fulfill some of the new requirements for GI community. Many of the earlier works were based on the assumption that exact trajectory information was available (or could be obtained) at every time instant. Unfortunately, this assumption cannot be guaranteed in real applications where trajectory information is associated inherently with uncertainty and lack of complete and precise knowledge. In this paper, we explore how a trajectory is influenced by uncertainty. Then we study the nature of 3D moving object trajectories in the presence of uncertainty and we introduce two data models for uncertain trajectories that are used to represent moving objects. By using this model in a case study, we obtain the most probable answer where we consider a 3D moving object path under uncertain conditions and lack of knowledge.