Title page for E-project-042612-114154

Project Type MQP

Submission date 2012-04-26

Authors
Andrew W Brown, ID
Jonathan G Estabrook, RBE
Brian Evan Franklin, ECE

URN E-project-042612-114154

Title Sensor Processing and Path Planning Framework for a Search and Rescue UAV Network

Advisors
Wyglinski, Alexander, EE
Padir, Taskin, EE

Availability unrestricted

Abstract
Search and rescue operations are a costly endeavour. 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. 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.

Files
Project_WiND_MQP.pdf

Browse by Author | Browse by Department | Search all available E-projects

Questions? Email project-questions@wpi.edu
Maintained by webmaster@wpi.edu

Project Type	MQP
Submission date	2012-04-26
Authors	Andrew W Brown, ID Jonathan G Estabrook, RBE Brian Evan Franklin, ECE
URN	E-project-042612-114154
Title	Sensor Processing and Path Planning Framework for a Search and Rescue UAV Network
Advisors	Wyglinski, Alexander, EE Padir, Taskin, EE
Availability	unrestricted
Abstract Search and rescue operations are a costly endeavour. 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. 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.
Files	Project_WiND_MQP.pdf