Center Innovation Fund: LaRC CIF
Neuromorphic UAS Collision Avoidance, Year 2
Project Description
Collision avoidance for unmanned aerial systems (UAS) traveling at high relative speeds is a challenging task. It requires both the detection of a possible collision and deployment of an appropriate maneuver to avoid it, to be done in few seconds or less. NASA Langley and Boston University are engaged in a collaborative effort to design neuromorphic optic flow algorithms to avoid collisions and embed these algorithms in small, low-weight, and low-power customized hardware solutions in UAS.
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Anticipated Benefits
This effort will support ARMD's Integrated Systems Research Program's UAS Integration in the NAS Project with a combination of both long-term, foundational and integrated system-level research on a highly promising technology, with a high likelihood of successfully demonstrating it's benefit in a relevant environment. These collision avoidance algorithms and their implementation in hardware would provide advancement in autonomous systems capability.
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Primary U.S. Work Locations and Key Partners
| Organizations Performing Work | Role | Type | Location |
|---|---|---|---|
Langley Research Center
(LaRC)
|
Lead Organization | NASA Center | Hampton, Virginia |
| Boston University | Supporting Organization | Academia | Boston, Massachusetts |
Primary U.S. Work Locations
-
Massachusetts
-
Virginia
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