Multi-target tracking within large geographical areas - algorithms for improved accuracy and speed

This paper addresses two challenges which are specific for tracking large amounts of vehicles within wide geographical areas. The first problem is related to the Earth’s curvature, which may degrade the prediction accuracy over long distances. The second problem is concerning the gating process, which may be slow. This paper proposes a single target tracking algorithm that predicts along the great circle, and thus minimizes the unmodelled prediction error, and a multi target gating algorithm that speeds up the gating process by using a combination of clustering and the n-vector position representation.