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system autonomy for space traffic managementThis paper proposes an initial architecture for a Space Traffic Management (STM) system, based on openApplication Programming Interfaces (APIs) and drawing on previous work by the NASA Ames Research Center (ARC) to develop an architecture for low-altitude Unmanned Aerial System Traffic Management (UTM). The authors explore how autonomy could be used to enhance an STM system, and how constraints inherent in STM complicate and challenge certain applications of autonomy. We conceptually explore how autonomy could be used within an STM architecture, with multiple non-authoritative catalogs of resident space objects, and to determine which oftwo conjuncting spacecraft moves. NASA ARC is developing a software research environment for STM, along with a physical laboratory and visualization space. We invite STM stakeholders to collaborate in our infrastructure, to help inform the design of the proposed STM architecture, and to participate in the refinement and validation of its concept of operations using the software research platform.
Document ID
20180007349
Document Type
Conference Paper
Authors
Nag, Sreeja
(Bay Area Environmental Research Inst. Moffett Field, CA, United States)
Murakami, David
(NASA Ames Research Center Moffett Field, CA, United States)
Lifson, Miles
(Bay Area Environmental Research Inst. Moffett Field, CA, United States)
Kopardekar, Parimal
(NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
October 30, 2018
Publication Date
September 23, 2018
Subject Category
Space Transportation and Safety
Report/Patent Number
ARC-E-DAA-TN59858
Meeting Information
AIAA/IEEE Digital Avionics Systems Conference (DASC)(London)
Funding Number(s)
CONTRACT_GRANT: NNX12AD05A
WBS: WBS 629660.01.02.01.01
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
space situational awareness
collision avoidance
autonomy
space policy
space traffic management

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