A controlled search for radioactive point sources

Given a map of a polygon-shaped search area with obstacles and a group of mobile networked observers equipped with radiation dose counters (such as the Geiger-Muller counter), the data fusion problem is twofold: (1) to establish if any radioactive point sources are present in the area; (2) if present, to determine their number and their parameters (locations and intensities of radiation). The detection/estimation part of the problem is solved in the Bayesian framework using a particle filter. The control of multiple observers during the search is carried out by maximization of the information gain measured by the Renyi divergence.

[1]  S. Landsberger,et al.  Measurement and detection of radiation , 1983 .

[2]  Alan D. Martin,et al.  An Introduction to Radiation Protection , 1996, Springer US.

[3]  M. Carter Computer graphics: Principles and practice , 1997 .

[4]  Thomas Ertl,et al.  Computer Graphics - Principles and Practice, 3rd Edition , 2014 .

[5]  Kenneth R. Muske,et al.  Least squares estimation techniques for position tracking of radioactive sources , 2001, Autom..

[6]  Nando de Freitas,et al.  Sequential Monte Carlo Methods in Practice , 2001, Statistics for Engineering and Information Science.

[7]  Christian Musso,et al.  Improving Regularised Particle Filters , 2001, Sequential Monte Carlo Methods in Practice.

[8]  D. Torney,et al.  Distributed sensor networks for detection of mobile radioactive sources , 2004, IEEE Transactions on Nuclear Science.

[9]  Branko Ristic,et al.  Beyond the Kalman Filter: Particle Filters for Tracking Applications , 2004 .

[10]  D. Stephens,et al.  Detection of moving radioactive sources using sensor networks , 2004, IEEE Transactions on Nuclear Science.

[11]  D. Torney,et al.  Radioactive source detection by sensor networks , 2005, IEEE Transactions on Nuclear Science.

[12]  Alfred O. Hero,et al.  Sensor management using an active sensing approach , 2005, Signal Process..

[13]  N. Hengartner,et al.  Efficient strategies for low-statistics nuclear searches , 2006, IEEE Transactions on Nuclear Science.

[14]  David M. Nicol,et al.  Sensor fusion algorithms for the detection of nuclear material at border crossings , 2006, SPIE Defense + Commercial Sensing.

[15]  Mark R. Morelande,et al.  Detection and parameter estimation of multiple radioactive sources , 2007, 2007 10th International Conference on Information Fusion.

[16]  Branko Ristic,et al.  A particle filter for joint detection and tracking of color objects , 2007, Image Vis. Comput..

[17]  Pramod K. Varshney,et al.  Distributed detection of a nuclear radioactive source using fusion of correlated decisions , 2007, 2007 10th International Conference on Information Fusion.

[18]  B. Ristic,et al.  On Localisation of a Radiological Point Source , 2007, 2007 Information, Decision and Control.

[19]  Alfred O. Hero,et al.  An Information-Based Approach to Sensor Management in Large Dynamic Networks , 2007, Proceedings of the IEEE.

[20]  B. Ristic,et al.  Search for a Radioactive Source: Coordinated Multiple Observers , 2007, 2007 3rd International Conference on Intelligent Sensors, Sensor Networks and Information.

[21]  Branko Ristic,et al.  Information driven localisation of a radiological point source , 2008, Inf. Fusion.

[22]  Keith D. Kastella,et al.  Foundations and Applications of Sensor Management , 2010 .

[23]  Aaas News,et al.  Book Reviews , 1893, Buffalo Medical and Surgical Journal.