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Demonstration of Autonomous Navigation for Deep Space CubeSat

Completed TRL 4 (started at 2, targeting 4)

Description

Develop a testbed to test vision-based autonomous navigation algorithms that emulates the capabilities of JPL's reference 6U CubeSat Flight system. Perform an end-to-end demonstration of autonomous navigation in CubeSat-relevant environment. Assess the applicability of IntelliCam camera for autonomous navigation and required calibration... Mount Intellicam on Table Mountain Observatory and image asteroids against star backgrounds, process images with automated software to obtain star and asteroid centroids, Assess accuracy achievable by camera and software, run AutoNav on Intellicam testbed using realistic, simulated images with error characteristics from TMO data, demonstrate end-to-end navigation performance

Benefits

Opportunity for demonstration on upcoming deep space CubeSat mission (e.g., AES' NEAScout). Alternative is to pursue demonstration as part of the game changing program (e.g., fly on university-led CubeSat mission in low Earth orbit)

Details

ProgramCenter Innovation Fund: JPL CIF (JPL CIF)
Lead organizationJet Propulsion Laboratory, Pasadena, CA
Start date2015-10-01
End date2016-09-30

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