Share Email Print
cover

Proceedings Paper

Long-term ground movement prediction by Monte Carlo simulation
Author(s): Mark J. Carlotto
Format Member Price Non-Member Price
PDF $14.40 $18.00

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); doi: 10.1117/12.779545
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)

© SPIE. Terms of Use
Back to Top