2025_programme: Autonomous Underwater Inspection of Inland Waterways with a Small Uncrewed Surface Vessel for Police and Emergency Response

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  • Day: June 17, Tuesday
      Location / Time: B. ERATO at 09:30 - 09:50
  • Last minutes changes: -
  • Session: 25. Unmanned vehicles for underwater acoustic surveillance and monitoring
    Organiser(s): Alain Maguer
    Chairperson(s): Alain Maguer
  • Lecture: Autonomous Underwater Inspection of Inland Waterways with a Small Uncrewed Surface Vessel for Police and Emergency Response
    Paper ID: 2285
    Author(s): Alfie Anthony Treloar, Zuhayr Rymansaib, Alan Hunter
    Presenter: Alfie Anthony Treloar
    Abstract: The investigation of crime scenes in small inland bodies of water is typically a laborious process requiring a specialist team of divers. It can also be hazardous, as visibility is often extremely limited, thus requiring manual inspection of the area. While there is some use of sonar from crewed boats, this still requires skilled personnel to operate them and interpret data. \nThe Police Robot for Inspection and Mapping of underwater Evidence (PRIME) is an uncrewed surface vessel being developed to aid investigators by providing actionable information about the area of interest. It is intended to improve the efficiency and safety of divers by highlighting area of interest and showing benign regions. This is achieved through a sensor payload including two sets of side-scan sonar sensors at different frequencies and a switchable frequency forward-looking sonar. For surface obstacle avoidance, it is also equipped with a lidar. The data from all these sensors can be combined to provide a detailed situation map, allowing the autonomous control system to safely scan the area. The georeferenced detection data can then be easily interpreted on shore by the dive team as they prepare to enter the water. \nWe will present the results of some recent trials testing real-time object detection and classification, autonomous mission planning, and obstacle avoidance. \n
      Download the full paper
  • Corresponding author: Dr Alfie Anthony Treloar
    Affiliation: University of Bath
    Country: United Kingdom

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