Intuitive Machines
24 March 2014 – 3 September 2014
Co-P.I. Dr. Dale Cope
Co-P.I. Dr. Alex Thomasson
Total award $39,150
As part of its development of integrated sensor systems for UAS platforms, Intuitive Machines requires flight testing of its sensor system for a specific application, such as agriculture, and an independent engineering assessment of system’s capability to provide the desired results. This project will conduct flight testing of an integrated sensor system for an agriculture application followed by an engineering assessment of the system’s capabilities. Intuitive Machines is providing the sensor system, and agricultural and aerospace researchers from Texas A&M University are teaming to conduct the flight testing and engineering assessment. Texas A&M University researchers will define the requirements of the sensor system for an agriculture application, integrate the sensor system into the Pegasus II UAS platform, conduct flight tests over a suitable agriculture field, and then, assess the system’s capabilities to meet the specified requirements.
TECHNICAL OBJECTIVES
- Define image/resolution requirements for a specific precision agriculture application
- Integrate observation/surveillance pod provided by Intuitive Machines into the Pegasus II UAS
- Conduct flight testing of the observation at Texas A&M University’s Riverside Range
- Review and interpret observation data to evaluate effectiveness of sensor pod
Working with me on this program are Research Assistants:
- James Henrickson, Ph.D student
- Frank Arthurs, Ph.D student
- Dipanjan Saha, Ph.D. student
- Joshua Harris, Ph.D. student
- Samantha Hansen, B.S. student