Abstract
Most common motion models assume a path in an open, convex region. Suppose, however, we know that the target is constrained to a road grid. The target motion is still in an open region. But the lateral accelerations are much smaller than the longitudinal acceleration. When the target reaches a junction, it may accelerate laterally as it maneuvers through the turn. This change in direction could be included in the location algorithm if we knew precisely where the target was. But this is unknown until after the fact. Thus, the turns come as a surprise to the classifier. In this chapter we show how the GWE can be accommodated to grid motion. But with a hybrid algorithm, intra-junction segments are even easier to navigate than are segments in a tangled environment.
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Sworder, D.D., Boyd, J.E. (2016). Assurance Regions on a Road Grid. In: Locating, Classifying and Countering Agile Land Vehicles. Springer, Cham. https://doi.org/10.1007/978-3-319-19431-8_6
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DOI: https://doi.org/10.1007/978-3-319-19431-8_6
Publisher Name: Springer, Cham
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