6 May 2008 Long-term ground movement prediction by Monte Carlo simulation
Author Affiliations +
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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); doi: 10.1117/12.779545; https://doi.org/10.1117/12.779545
PROCEEDINGS
11 PAGES


SHARE
RELATED CONTENT

Performance modeling of a feature-aided tracker
Proceedings of SPIE (May 24 2012)
Map-enhanced tracking
Proceedings of SPIE (September 15 2005)
Contextual Analysis Of Tactical Scenes
Proceedings of SPIE (June 14 1984)
Analysis of the NEKF performance in a multisensor environment
Proceedings of SPIE (September 15 2005)

Back to Top