Sensor Processing and Path Planning Framework for a Search and Rescue AUV Network

MQP Team:

  • Andrew Brown
  • Jonathan Estabrook
  • Brian Franklin  


  • Taskin Padir
  • Alex Wyglinski    

Search and rescue operations are a costly endeavor. The advent of new technologies, such as unmanned aerial vehicles, can decrease the cost of such operations and increase rescue rates by finding the lost individual in a faster manner. However, the issue currently faced is how to develop and deploy such a system comprised of multiple UAVs. This report describes a framework which, through the use of modular components, provides for the autonomous search and detection of a target with the flexibility to change hardware and mission specific components at will. This framework integrates multi-agent path planning, wireless communication and coordination, and on board sensor processing, fusing an FPGA, DSP, and software platform for maximum flexibility with real time performance. Learn more...

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