Abstract #301665

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JSM 2003 Abstract #301665
Activity Number: 243
Type: Contributed
Date/Time: Tuesday, August 5, 2003 : 10:30 AM to 12:20 PM
Sponsor: Section on Bayesian Stat. Sciences
Abstract - #301665
Title: Hierarchical Spatial Models and Monte Carlo Analysis of Mine Locations in Robotic Land-mine Search
Author(s): Yangang Zhang*+ and Howie Choset and Mark J. Schervish
Companies: PPD and Carnegie Mellon University and Carnegie Mellon University
Address: 2 Linda Ct., Laurence Harbor, NJ, 08879,
Keywords: point process ; iInhomogeneous Strauss processes ; Bayesian inference ; Markov chain Monte Carlo
Abstract:

A two-level hierarchal point process model was built to model the numbers and locations of the unexploded ordnance and ordnance-like objects (such as fragments of the exploded ordnance and scattered metal objects). In the first level, inhomogeneous Strauss processes with elliptical shape intensity will be used to model the submunition dispersion pattern from cluster bombs. In the second level, we model the fragmentation effect of the exploded sub-munitions by inhomogeneous Poisson process. Based on the observed information from a small area covered by a robot, first, we make inferences on the parameters to determine the patterns of the unexploded ordnance and ordnance-like objects. Furthermore, we predict the probability that there is an unexploded ordnance at a certain location outside the covered region and to label the unexploded ordnance from the ordnance-like objects inside the covered region.

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