An Adaptive Sampling Approach for Trajectories Based on the Concept of Error Ellipses
Peter Ranacher, Adam Rousell · 2013
A trajectory represents an object’s path through space and time. These trajectories are often recorded as a series of spatial positions at discrete time intervals. Depending on the sampling rate employed, there can be a large amount of uncertainty relating to how well the trajectory represents the actual path taken. By using the concept of error ellipses, an adaptive sampling strategy has been developed that allows for the determination of an optimal sampling rate whilst ensuring that a pre-defined uncertainty threshold is not surpassed. This decreasing of uncertainty means that any trajectory derived using the algorithm presented would closely match the actual route taken by the object, thus allowing for more accurate spatial interpretation of the data.