Gaussian Process Regression of UGV Collected Gamma Radiation Data

Dataset

Bibliographical metadata

Description

Gamma radiation data, SLAM (Simultaneous Localisation And Mapping) maps, MCNP 6 simulation results, and python code for interpolation using Gaussian Process Regression of radiation data collected by an Unmanned Ground Vehicle.<br>Locations include the Lancaster University Neutron Laboratory (LUNL) and the Jožef Stefan Institute (JSI) TRIGA Mark II research nuclear reactor.<br>Data was collected by the TORONE project, using a Clearpath Jackal UGV, equipped with CeBr<sub>3</sub> scintillator detector and mixed field analyser. Point observations (location based on robot position estimates from SLAM) of gamma count rate is interpolated into a 2D estimated dosimetry map based on locations available for the robot to visit (denoted as free-space in the SLAM map).
Date made available18 Mar 2022
PublisherUniversity of Manchester