Titlebook: Locating, Classifying and Countering Agile Land Vehicles; With Applications to David D. Sworder,John E. Boyd Book 2016 Springer Internation

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David D. Sworder,John E. BoydDiscusses applied estimation and prediction of terrestrial targets.Covers fusion of heterogeneous sensor types and tracking with non-temporal engagement constraints.Examines confidence that the target

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978-3-319-35916-8Springer International Publishing Switzerland 2016

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URN

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Assurance Regions on a Road Grid,cisely 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 .?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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Temporal-Lobe

ed within the context of specific tracking scenarios chosen to illustrate the tradeoffs in a simple and direct manner. The text covers the Gaussian wavelet estimator (GWE) which has a flexible architecture that is able to fuse uncommon sensor combinations with non-temporal structural constraints.978-3-319-35916-8978-3-319-19431-8

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l engagement constraints.Examines confidence that the targetThis book examines real-time target tracking and identification algorithms with a focus on tracking an agile target. The authors look at several problems in which the tradeoff of accuracy and confidence must be made. These issues are explor

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A Model for Tracking and Classification, the motion but also places an assurance window about the target for interrogation and perhaps neutralization. When the target is uncooperative, this requires a sophisticated multi-model approach. This chapter frames the problem and introduces the notation used in what follows.