Title: Risk Based Multiobjective Path Planning and Design
Optimization for Unmanned Aerial Vehicles
Abstract: Safe operation of unmanned aerial vehicles (UAVs)
over populated areas requires reducing the risk posed by a UAV if it crashed during its operation. We considered several types of UAV risk-based path planning problems and developed techniques for estimating the risk to third parties on the ground. The path planning problem requires making trade-offs between risk and flight time. Four optimization approaches for solving the problem were tested; a network-based approach that used a greedy algorithm to improve the original solution generated the best solutions with the least computational effort. Additionally, an approach for solving a combined design and path planning problems was developed and tested.
This approach was extended to solve robust risk-based path planning problem in which uncertainty about wind conditions would affect the risk posed by a UAV.
List of all Committee members:
Professor Jeffrey W. Herrmann, Chair,
Co-Advisor Professor Shapour Azarm,
Co-Advisor Professor Balakumar Balachandran
Date:April 22nd, 2016
Time: 10-12 noon