Summary
Students at the GRILL® worked to create a drone simulation prototype for the Wright-Brothers Institute.
The goal of the project was to create a simulator that realistically incorporated UAS physics with various payloads.
Features and Design
Software
Unreal Engine 4
QGroundControl
Ardupilot
AirSim
_
Contributions
Team:
Amrith Akula
Alex Hooper
Brad Sisk
Ashton Tucker
Mentor:
Mr. Tim Rodabaugh
_
Clients:
AFRL
Ken Sewell
Outcomes and Additional Information
The use case of the UAS operation with varying payloads included software-in-the-loop methodologies the focused on a search and rescue scan to find a lost hiker.
The challenge included using Aurelia X6 Standard and Hexacopter UAVs, simulating a variety of hiker behaviors and environments, and utilizing integrated infrared cameras.
The user manages the flightpath through QGroundControl.
The team used artificial intelligence to simulate hiker behaviors, including behavior trees for walking and evading, and false targets like woodland creatures.
The UAV modeling and simulation required payload components of sensors and four cameras.