toward computing an optimal trajectory for an environment-oriented unmanned aerial vehicle (uav)
DESCRIPTION
Toward Computing An Optimal Trajectory For An Environment-Oriented Unmanned Aerial Vehicle (UAV). Rodrigo Romero, Jerald Brady, Octavio Lerma, Vladik Kreinovich, and Craig Tweedie. Goals of This Project (ES Perspective). To develop a mobile Environmental Science data collection platform - PowerPoint PPT PresentationTRANSCRIPT
Toward Computing An Optimal Trajectory
For An Environment-Oriented UnmannedAerial Vehicle (UAV)
Rodrigo Romero, Jerald Brady, Octavio Lerma, Vladik Kreinovich,
and Craig Tweedie
Joint Annual MeetingNSF Division of Human Resource Development
Goals of This Project (ES Perspective)
To develop a mobile Environmental Science data collection platform- Ensure system design is well documented
and customizable- Near real time collection of data wirelessly- To optimize data collection by maximizing
coverage and minimizing time taken
Joint Annual Meeting NSF Division of Human Resource Development
Why an Unmanned Aircraft System?
- Provides Access to Remotely Sense Regions
- Covers Large Areas Fairly Easily
- Dirty Dull and Dangerous flying
- Can be Utilized Frequently
- Smaller Carbon Footprint when Compared to Other Craft and More Inexpensive
Joint Annual Meeting NSF Division of Human Resource Development
Unmanned Aerial Vehicle - Powered Paraglider
Joint Annual Meeting NSF Division of Human Resource Development
Unmanned Aircraft System (UAS)
• Onboard- Flight Telemetry
@ 900 MHz
- Environmental Science Data - @ 2.4 GHz
• Ground Station- Laptop collects
wireless data
- Custom developed C# software displays data
Joint Annual Meeting NSF Division of Human Resource Development
UAV In Flight – UAV Movie 9625Joint Annual Meeting NSF Division of
Human Resource Development
UAV Landing – UAV Movie 9627Joint Annual Meeting NSF Division of
Human Resource Development
Ground Station Software Screenshot
Joint Annual Meeting NSF Division of Human Resource Development
Area Coverage Tool
• Ground Station Software Needs- Visualization of data collection while
flying
- Evaluation of how effective data collection is while flying
- Display an “optimal path” for users to take
Joint Annual Meeting NSF Division of Human Resource Development
Need for an Optimal Trajectory
Complete coverage of a given area with senor readings
• UAVs have limited flight time.
• All sensors do not record at the same speed or at the same rate
• Design a trajectory to account for these issues
Joint Annual Meeting NSF Division of Human Resource Development
Corner Coverage Is Not Complete
Joint Annual Meeting NSF Division of Human Resource Development
Solution – Fishtail Pathing
Joint Annual Meeting NSF Division of Human Resource Development
Sensor Readings and Area Coverage
• Evaluation of Our Technique- While mathematically sound the fishtail
solution is not practical while flying
- Wind and weather conditions for the day can effect flight patterns
- Areas inside the flight zone that have high levels of change need to be flown over more
Joint Annual Meeting NSF Division of Human Resource Development
Very Heterogeneous Areas Require More Flight Coverage
Joint Annual Meeting NSF Division of Human Resource Development
Future Directions
• Designing a Smarter Tool- Improving upon existing design by
including optimal pathing
- Drawing an optimal path based on data already collected
- Testing in field to verify improvement in design
Joint Annual Meeting NSF Division of Human Resource Development
Further Questions?
• Jerald Brady -Graduate Student- [email protected]
• Vladik Kreinovich –CS Researcher- [email protected]
• Craig Tweedie – ES Researcher - [email protected]
• Rodrigo Romero –Presenter- [email protected]
Joint Annual Meeting NSF Division of Human Resource Development