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Proceedings Paper

Long-term ground movement prediction by Monte Carlo simulation
Author(s): Mark J. Carlotto
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Paper Abstract

A method is described for predicting the long-term movement of people on the ground, either on foot or driving vehicles, as a function of the terrain, weather, behavior, and situation (context). It uses the results of statistical simulations to estimate location probability distributions of where a vehicle or person may go in a given amount of time. Several applications are discussed including detecting possible gaps in sensor coverage, route planning, and mobile communications routing.

Paper Details

Date Published: 6 May 2008
PDF: 11 pages
Proc. SPIE 6968, Signal Processing, Sensor Fusion, and Target Recognition XVII, 696806 (6 May 2008);
Show Author Affiliations
Mark J. Carlotto, General Dynamics Advanced Information Systems (United States)

Published in SPIE Proceedings Vol. 6968:
Signal Processing, Sensor Fusion, and Target Recognition XVII
Ivan Kadar, Editor(s)

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