Long-term ground movement prediction by Monte Carlo simulation

Mark J. Carlotto

doi:10.1117/12.779545

6 May 2008 Long-term ground movement prediction by Monte Carlo simulation

Mark J. Carlotto

Proceedings Volume 6968, Signal Processing, Sensor Fusion, and Target Recognition XVII; 696806 (2008) https://doi.org/10.1117/12.779545
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

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.

Citation Download Citation

Mark J. Carlotto "Long-term ground movement prediction by Monte Carlo simulation", Proc. SPIE 6968, Signal Processing, Sensor Fusion, and Target Recognition XVII, 696806 (6 May 2008); https://doi.org/10.1117/12.779545

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