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


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