RISK-BASED MULTIOBJECTIVE PATH PLANNING AND DESIGN OPTIMIZATION FOR UNMANNED AERIAL VEHICLES

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.

Department dc:contributor.department

Mechanical Engineering

Year dc:date.issued

2016

Author dc:creator

• Rudnick-Cohen, Eliot Sylvan

Advisors dc:contributor.advisor

• Herrmann, Jeffrey W
• Azarm, Shapour

Language dc:language.iso

en

Identifier

https://doi.org/10.13016/M2222Q

OAI identifier oai:identifier

oai:drum.lib.umd.edu:1903/18666