Python code to import point gamma radiation observations collected by a Unmanned Ground Vehicle, and interpolate onto a map produced by robot SLAM (Simultaneous Localisation and Mapping).<div><br></div><div>Interpolation is performed using Gaussian Process Regression, via use of the freely available GPy library.</div><div><br></div><div>This code specifically imports the correct map files and robot datasets for analysis, as well as outputting the result to a comma separated file, based on data taken at the Jožef Stefan Institute (JSI) TRIGA Mark II reactor, Slovenia.</div><div><br></div><div>The "directory" variable can be altered to match that of the users requirements, i.e. where the dataset, map, and map metadata reside.</div><div><br></div><div>For such a large dataset, expect this to run for 10s of minutes on a fairly modern PC. GPy appears to have multicore support, so the whole machine may be co-opted to compute the regression and extract the estimated values for the map related data.</div>
Funding
TORONE - TOtal characterisation for Remote Observation in Nuclear Environments
Engineering and Physical Sciences Research Council