Locating, Classifying and Countering Agile Land Vehicles

This 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 explored 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.

Discusses 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 will be captured and motion analysis of land vehicles

Autorentext
Dave Sworder is a Professor of ECE at UCSD
John Boyd is the Chief Scientist, Information Systems for Cubic Defense Applications.

Inhalt
A Model for Tracking and Classification.- Target Location Using the Extended Kalman Filter.- Tracking an Agile Target.- Intercept and Target Prediction.- Classification and Target Tempo.- Assurance Regions on a Road Grid.- ActionWindows with Resource Limits.- Serendipitous Events in Tracking and Classification.- Deceiving a Classifier.