Proceedings ArticleDOI
System Autonomy for Space Traffic Management
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An initial architecture for a Space Traffic Management (STM) system is proposed, based on open Application Programming Interfaces (APIs) and drawing on previous work by NASA to develop an architecture for low-altitude Unmanned Aerial System traffic Management (UTM).Abstract:
This 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.read more
Citations
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Proceedings ArticleDOI
Space Traffic Management with a NASA UAS Traffic Management (UTM) Inspired Architecture
TL;DR: The STM ConOps proposes an architecture to enable efficient data sharing and coordination between participants to facilitate safe spaceflight operations, designed to utilize and promote the emerging field of commercial STM services, as a complement to existing government-provided STM Services.
Journal ArticleDOI
On the use of machine learning and evidence theory to improve collision risk management
TL;DR: An Artificial Intelligence-based system to support operators to manage the risk of collision based on the concepts of Belief and Plausibility coming from Dempster-Shaffer's Evidence Theory and a possible approach to make optimal decisions under epistemic uncertainty, considering a given conjunction geometry and the time to the encounter is proposed.
Journal ArticleDOI
Prototyping operational autonomy for Space Traffic Management
TL;DR: A software prototype of an STM architecture based on open Application Programming Interfaces (APIs), and drawing on insights from NASA's architecture for low-altitude Unmanned Aerial System Traffic Management is presented, allowing for autonomous maneuver planning using the API-based framework.
References
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Unmanned Aircraft System Traffic Management (UTM) Concept of Operations
TL;DR: The Concept of Operations (ConOps) for NASA’s UAS Traffic Management (UTM) research initiative will describe the UTM ConOps, focused on safely enabling large-scale small UAS (sUAS) operations in low altitude airspace.
Proceedings ArticleDOI
Unmanned Aircraft Systems (UAS) Traffic Management (UTM) National Campaign II
TL;DR: This campaign provided initial validation of different aspects of the UTM concept including: UAS Service Supplier technologies and procedures; geofencing technologies/conformance monitoring; groundbased surveillance/sense and avoid; airborne sense andavoid; communication, navigation, surveillance; and human factors related to UTM data creation and display.
Journal ArticleDOI
LightForce photon-pressure collision avoidance: Efficiency analysis in the current debris environment and long-term simulation perspective.
Fan Yang Yang,Bron Nelson,Jonathan Aziz,Roberto Carlino,Andres Dono Perez,Nicolas Faber,Cyrus Foster,Chad R. Frost,Chris Henze,Arif Goktug Karacalioglu,Creon Levit,William Marshall,James Mason,Conor O'Toole,Jason Swenson,Simon P. Worden,Jan Stupl +16 more
TL;DR: This work provides an efficiency analysis of the LightForce space debris collision avoidance scheme in the current debris environment and describes a simulation approach to assess its impact on the long-term evolution of the space debris environment.
Book
Achieving Higher-Fidelity Conjunction Analyses Using Cryptography to Improve Information Sharing
TL;DR: The applicability of secure multi-party computation protocols as a means to compute the collision probability of two satellites (conjunction analyses) while maintaining the privacy of each operators orbital information is examined.