Qualitative spatio-temporal reasoning from mobile sensor data using qualitative trigonometry

Abstract

This paper presents a method for qualitative spatio-temporal reasoning about dynamic spatial regions from mobile sensor data based on qualitative trigonometry. We apply this method to the use case of monitoring a travelling gas plume with a mobile sensor. We argue that our method can infer qualitative information about size, movement direction, and speed of a spatial region from the data of a mobile sensor passing through it, which allows for adapting the route of the sensor that captures the phenomenon in space and time. © Springer-Verlag Berlin Heidelberg 2011.