Simultaneous Localization and Mapping for Satellite Rendezvous and Proximity Operations

Metadata Updated: March 22, 2019

Simultaneous Localization and Mapping (SLAM) attempts to estimate a vehicle[HTML_REMOVED]s position and orientation (localization) and the location of an initially unknown number of features in the environment (mapping) simultaneously.[HTML_REMOVED]The satellite relative navigation and pose estimation problem can be considered a 3D SLAM problem where we are estimating the position, velocity, attitude, and attitude rate of the primary satellite relative to the target satellite while simultaneously estimating a map of the target features.[HTML_REMOVED]The goal of this[HTML_REMOVED] project is to demonstrate the feasibility and effectiveness of using SLAM for autonomous, precise relative navigation and pose estimation without reliance on GNSS for RPO applications such as satellite proximity operations for inspection, satellite rendezvous for servicing, and near asteroid/comet navigation.

Access & Use Information

Public: This dataset is intended for public access and use. License: U.S. Government Work

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Metadata Created Date August 1, 2018
Metadata Updated Date March 22, 2019

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date August 1, 2018
Metadata Updated Date March 22, 2019
Publisher Space Technology Mission Directorate
Unique Identifier TECHPORT_93251
Maintainer Email
Public Access Level public
Bureau Code 026:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Datagov Dedupe Retained 20190322035503
Harvest Object Id f9f57d62-1064-4e97-84f7-76435e6e800f
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2018-09-01
Homepage URL
Data Last Modified 2018-07-19
Program Code 026:027
Source Datajson Identifier True
Source Hash fb95a3ca152692ef7c856f740c363e0ec3c03baa
Source Schema Version 1.1

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