{"id":61382,"date":"2016-07-19T18:27:00","date_gmt":"2016-07-19T22:27:00","guid":{"rendered":"https:\/\/www.nasa.gov\/?migration=converted-node-387623"},"modified":"2023-07-26T12:19:27","modified_gmt":"2023-07-26T16:19:27","slug":"multitarget-approaches-to-robust-navigation","status":"publish","type":"post","link":"https:\/\/www.nasa.gov\/directorates\/stmd\/space-tech-research-grants\/multitarget-approaches-to-robust-navigation\/","title":{"rendered":"Multitarget Approaches to Robust Navigation"},"content":{"rendered":"\n<p><strong>James S McCabe<\/strong><br>\n<em>Missouri University of Science and Technology<\/em><\/p>\n\n\n\n<p>The performance, stability, and statistical consistency of a vehicle\u2019s navigation algorithm are vitally important to the success and safety of its mission. Autonomous decision-making procedures employed on these missions rely upon these navigation solutions, and, in order for the autonomous vehicle to make appropriate decisions, the vehicle must be well-informed. With this in mind, the goal of this work is to develop a high-performance, robust navigation framework that applies to a wide variety of active NASA projects, such as Orion, Osiris-REX, and ALHAT, to name a few. Specifically, this project will develop a robust navigation framework using novel, state-of-the-art multitarget tracking techniques to perform autonomous multitarget navigation for spacecraft, planetary landers, and rovers in the presence of unmodeled effects, imperfect data, and sensor anomalies. The objectives for achieving this include:<\/p>\n\n\n\n<ol><li>Develop a consider-based framework under the Bayesian single-target paradigm that accounts for imperfect sensing and unmodeled system effects in the interest of obtaining a more complete statistical description of the true distribution of the state of a vehicle.<\/li><li>Develop a square-root formulation of the developed Bayesian consider framework in the interest of numerical robustness and stability.<\/li><li>Lift the Bayesian consider techniques into the multitarget domain to enhance autonomous navigation, hazard avoidance, and rendezvous, docking, and landing capabilities by enabling multi-feature detection, tracking, identification, and classification.<\/li><li>Unify the results of the previous three objectives into a single, robust multitarget navigation framework that can be applied to a wide variety of autonomous navigation problems to ensure safe and successful operation of future NASA missions while reducing the cost of algorithm development.<\/li><\/ol>\n\n\n\n<p>The completion of these objectives will produce a multitarget navigation framework with a broad relevance and an applicability to navigation for NASA\u2019s space vehicles and planetary landing missions. This research naturally produces a valuable analysis tool to evaluate the feasibility of different vehicle sensing configurations in a simulation environment, since the model-based approach comes with a strong degree of generality. The framework\u2019s wide applicability stands to reduce the development time of navigation architectures and thus reduce associated costs, while still permitting reliance on accurate, statistically descriptive navigation solutions.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.nasa.gov\/directorates\/spacetech\/strg\/nstrf-2016\"><strong>Back to NSTRF 2016 Full List<\/strong><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>James S McCabe Missouri University of Science and Technology The performance, stability, and statistical consistency of a vehicle\u2019s navigation algorithm are vitally important to the success and safety of its mission. Autonomous decision-making procedures employed on these missions rely upon these navigation solutions, and, in order for the autonomous vehicle to make appropriate decisions, the […]<\/p>\n","protected":false},"author":66,"featured_media":47963,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"nasa_hds_core_meta_l10n":"en-US","nasa_hds_core_meta_article_editor":"","nasa_hds_core_meta_article_contacts":[],"nasa_hds_core_meta_article_topic":"","nasa_hds_core_meta_linked_locations":[],"nasa_hds_core_meta_article_related_articles":[],"hds_migrate_meta_pr_release_id":"","hds_migrate_meta_pr_release_type":"","nasa_hds_core_meta_location_x":"","nasa_hds_core_meta_location_y":"","nasa_hds_core_meta_gallery_images":[],"footnotes":""},"categories":[3337],"news-tags":[],"internal-terms":[9529,12750],"coauthors":[],"parsely":{"version":"1.1.0","meta":{"@context":"https:\/\/schema.org","@type":"NewsArticle","headline":"Multitarget Approaches to Robust Navigation","url":"https:\/\/www.nasa.gov\/directorates\/stmd\/space-tech-research-grants\/multitarget-approaches-to-robust-navigation\/","mainEntityOfPage":{"@type":"WebPage","@id":"https:\/\/www.nasa.gov\/directorates\/stmd\/space-tech-research-grants\/multitarget-approaches-to-robust-navigation\/"},"thumbnailUrl":"https:\/\/www.nasa.gov\/wp-content\/uploads\/2016\/06\/hubble_friday_06242016.jpg?w=150&h=150&crop=1","image":{"@type":"ImageObject","url":"https:\/\/www.nasa.gov\/wp-content\/uploads\/2016\/06\/hubble_friday_06242016.jpg"},"articleSection":"NASA Directorates","author":[{"@type":"Person","name":"Loura Hall"}],"creator":["Loura Hall"],"publisher":{"@type":"Organization","name":"NASA","logo":"https:\/\/www.nasa.gov\/wp-content\/themes\/nasa\/assets\/images\/nasa-logo.svg"},"keywords":["NASA Directorates","Space Technology Mission Directorate","Space Technology Research Grants"],"dateCreated":"2016-07-19T22:27:00Z","datePublished":"2016-07-19T22:27:00Z","dateModified":"2023-07-26T16:19:27Z"},"rendered":"<meta name=\"parsely-title\" content=\"Multitarget Approaches to Robust Navigation\" \/>\n<meta name=\"parsely-link\" content=\"https:\/\/www.nasa.gov\/directorates\/stmd\/space-tech-research-grants\/multitarget-approaches-to-robust-navigation\/\" \/>\n<meta name=\"parsely-type\" content=\"post\" \/>\n<meta name=\"parsely-image-url\" content=\"https:\/\/www.nasa.gov\/wp-content\/uploads\/2016\/06\/hubble_friday_06242016.jpg?w=150&h=150&crop=1\" \/>\n<meta name=\"parsely-pub-date\" content=\"2016-07-19T22:27:00Z\" \/>\n<meta name=\"parsely-section\" content=\"NASA Directorates\" \/>\n<meta name=\"parsely-tags\" content=\"NASA Directorates,Space Technology Mission Directorate,Space Technology Research Grants\" \/>\n<meta name=\"parsely-author\" content=\"Loura Hall\" \/>","tracker_url":"https:\/\/cdn.parsely.com\/keys\/nasa.gov\/p.js"},"read_time":2,"time_ago":"8 years","featured_image":{"id":47963,"file":"https:\/\/www.nasa.gov\/wp-content\/uploads\/2016\/06\/hubble_friday_06242016.jpg","title":"The stars of the Large Magellanic Cloud","alt":"A gathering of red, white and blue stars in the constellation of Dorado","caption":"This NASA\/ESA Hubble Space Telescope image shows the globular cluster NGC 1854, a gathering of white and blue stars in the southern constellation of Dorado (The Dolphinfish). NGC 1854 is located about 135 000 light-years away, in the Large Magellanic Cloud (LMC), one of our closest cosmic neighbours and a satellite galaxy of the Milky Way. The LMC is a hotbed of vigorous star formation. Rich in interstellar gas and dust, the galaxy is home to approximately 60 globular clusters and 700 open clusters. These clusters are frequently the subject of astronomical research, as the Large Magellanic Cloud and its little sister, the Small Magellanic Cloud, are the only systems known to contain clusters at all stages of evolution. Hubble is often used to study these clusters as its extremely high-resolution cameras can resolve individual stars, even at the clusters\u2019 crowded cores, revealing their mass, size and degree of evolution."},"_links":{"self":[{"href":"https:\/\/www.nasa.gov\/wp-json\/wp\/v2\/posts\/61382"}],"collection":[{"href":"https:\/\/www.nasa.gov\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.nasa.gov\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.nasa.gov\/wp-json\/wp\/v2\/users\/66"}],"replies":[{"embeddable":true,"href":"https:\/\/www.nasa.gov\/wp-json\/wp\/v2\/comments?post=61382"}],"version-history":[{"count":1,"href":"https:\/\/www.nasa.gov\/wp-json\/wp\/v2\/posts\/61382\/revisions"}],"predecessor-version":[{"id":463531,"href":"https:\/\/www.nasa.gov\/wp-json\/wp\/v2\/posts\/61382\/revisions\/463531"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.nasa.gov\/wp-json\/wp\/v2\/media\/47963"}],"wp:attachment":[{"href":"https:\/\/www.nasa.gov\/wp-json\/wp\/v2\/media?parent=61382"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.nasa.gov\/wp-json\/wp\/v2\/categories?post=61382"},{"taxonomy":"news-tags","embeddable":true,"href":"https:\/\/www.nasa.gov\/wp-json\/wp\/v2\/news-tags?post=61382"},{"taxonomy":"internal-terms","embeddable":true,"href":"https:\/\/www.nasa.gov\/wp-json\/wp\/v2\/internal-terms?post=61382"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.nasa.gov\/wp-json\/wp\/v2\/coauthors?post=61382"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}