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 Jožef 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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