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Showing 1 to 6 of 6 for “"Radiation mapping"”.

  1. Machine Learning Aided Aerial Radiation Mapping

    In recent years, radiation mapping has attracted widespread research interest along with increasing public concerns on environmental monitoring. However, due to the complex mechanisms of gaseous radionuclide dispersion, radiation-matter interaction, and the current limitation of dose rate data …

    mit Repository record for Machine Learning Aided Aerial Radiation Mapping (opens in a new tab)

  2. Development of an autonomous radiation mapping robot

    … of an autonomous robotic platform for generating radiation maps is presented. An integrated autonomous exploration algorithm, Particle Swarm Optimization algorithm, and the ability to accurately localize and map multiple radiation sources in both indoor and outdoor environments using actual …

    uoit Repository record for Development of an autonomous radiation mapping robot (opens in a new tab)

  3. Alarm for Autonomous UAV Radiation Mapping Algorithm

    … an autonomous unmanned aerial vehicle (UAV) for radiation mapping purposes in the event of a nuclear disaster or use of nuclear weapons. Information from this alarm could feed into real time decision making on the UAV system, so the alarm is based on data from 1 second collection windows. All …

    mit Repository record for Alarm for Autonomous UAV Radiation Mapping Algorithm (opens in a new tab)

  4. Robotic radiation mapping using modelling and probabilistic analysis of sparse data

    An approach for generating radiation intensity maps, comprised of a mobile robotic platform and an integrated radiation model, is presented, and its ability to generate accurate radiation maps in simulation studies as well as real-life exposure scenarios are investigated. The radiation intensity …

    uoit Repository record for Robotic radiation mapping using modelling and probabilistic analysis of sparse data (opens in a new tab)

  5. Autonomous detection and characterization of nuclear materials using co-robots

    Radiation safety is the biggest concern of the nuclear industry, and co-robots are a crucial component to insuring that safety. Currently, radiation mapping data is typically gathered using hand held detectors or other detection systems requiring constant human interaction. This results in direct …

    gatech Repository record for Autonomous detection and characterization of nuclear materials using co-robots (opens in a new tab)

  6. Autonomous Sensing and Navigation in Challenging Environments Using Unmanned Air Vehicles in Single- and Multi-Agent Settings

    … in collaborative simultaneous localization and mapping (CSLAM) for the purpose of facilitating fast and accurate radiation mapping in contaminated and cluttered zones. CSLAM capabilities are made more robust to communication deficiencies through the novel incorporation of ultra-wideband range …

    mit Repository record for Autonomous Sensing and Navigation in Challenging Environments Using Unmanned Air Vehicles in Single- and Multi-Agent Settings (opens in a new tab)