Leidos has tested sensor systems on the US Air Force's (USAF) multi-sensor AgilePod that is designed for the intelligence, surveillance and reconnaissance community.
The risk reduction test was successfully carried out on eight different sensors of the multi-sensor platform.
It was aimed to demonstrate how open architectures, along with common mechanical and electrical solutions, can rapidly reconfigure sensors to support operational needs for multiple aircraft.
The Air Force Research Laboratory's Sensors Directorate Blue Guardian team led the testing under Project Harvest Reaper.
Leidos Advanced Solutions Group president Mike Chagnon said: "This innovative technology demonstrates the growing importance and technological advancements that open architecture provides to expand our battlefield capabilities.
"As threats and adversaries continue to evolve, Leidos is committed to developing and expanding solutions that support our customers in all domains."
How well do you really know your competitors?
Access the most comprehensive Company Profiles on the market, powered by GlobalData. Save hours of research. Gain competitive edge.
Thank you!
Your download email will arrive shortly
Not ready to buy yet? Download a free sample
We are confident about the unique quality of our Company Profiles. However, we want you to make the most beneficial decision for your business, so we offer a free sample that you can download by submitting the below form
By GlobalDataThe USAF’s AgilePod is scheduled to undergo flight tests aboard MQ-9 Reaper later this year.
Leidos collaborated with the University of Dayton Research Institute (UDRI) and Advanced Capabilities and Programatics (ACAP) for the design, development, testing, and operation of AgilePod’s open architecture and systems.
The pod consists of a series of 30-inch square compartments ranging in length from 28 to 60in, which can be assembled in different configurations.
As the new, Lego-like pod prototype was designed, manufactured and tested, technical data along the process was digitally captured to create a traceable digital record of design decisions.
Researchers used the information to more effectively modify the prototype pod design for mission purposes.