Gaussian Process Regression of UGV Collected Gamma Radiation Data

Dataset

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.Locations include the Lancaster University Neutron Laboratory (LUNL) and the Jo┼żef Stefan Institute (JSI) TRIGA Mark II research nuclear reactor.Data was collected by the TORONE project, using a Clearpath Jackal UGV, equipped with CeBr3 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 available7 May 2021
PublisherUniversity of Manchester Figshare

Research Beacons, Institutes and Platforms

  • Dalton Nuclear Institute

Keywords

  • Unmanned Ground Vehicle
  • Robot
  • Gamma radiation flux (cps)
  • Gaussian process regression
  • Nuclear environment
  • Nuclear Engineering
  • Photogrammetry and Remote Sensing
  • Control Systems, Robotics and Automation

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