{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T06:40:32Z","timestamp":1774334432267,"version":"3.50.1"},"reference-count":8,"publisher":"American Institute of Aeronautics and Astronautics (AIAA)","issue":"12","content-domain":{"domain":["arc.aiaa.org"],"crossmark-restriction":true},"short-container-title":["Journal of Aerospace Information Systems"],"published-print":{"date-parts":[[2021,12]]},"abstract":"<jats:p> This study proposes a novel approach for a vision-based navigation problem using semantically segmented aerial images generated by a convolutional neural network. Vision-based navigation provides a position solution by matching an aerial image to a georeferenced database, and it has been increasingly studied for global navigation satellite system\u2013denied environments. Aerial images include a vast amount of information that infers the position where they are located. However, it also includes features that disturb the estimation accuracy. The progress of convolutional neural network may provide a promising solution for extracting only helpful features for this purpose. Therefore, segmented images are modeled as a Gaussian mixture model, and the [Formula: see text] distance for a quantitative discrepancy between two images is established. This allows us to compare the two images quickly with improved accuracy. In addition, a framework of a particle filter is applied to estimate the position using an inertial navigation system. It employs the [Formula: see text] distance as a measurement, and the particles tend to converge to the true position. Flight test experiments were conducted to verify that the proposed approach achieved distance error of less than 10\u00a0m. <\/jats:p>","DOI":"10.2514\/1.i010957","type":"journal-article","created":{"date-parts":[[2021,10,26]],"date-time":"2021-10-26T00:18:40Z","timestamp":1635207520000},"page":"964-972","update-policy":"https:\/\/doi.org\/10.2514\/aiaa_crossmarkpolicy","source":"Crossref","is-referenced-by-count":7,"title":["Particle Filter Approach to Vision-Based Navigation with Aerial Image Segmentation"],"prefix":"10.2514","volume":"18","author":[{"given":"Kyungwoo","family":"Hong","sequence":"first","affiliation":[{"name":"Korea Advanced Institute of Science and Technology, Daejeon KS015, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sungjoong","family":"Kim","sequence":"additional","affiliation":[{"name":"Korea Advanced Institute of Science and Technology, Daejeon KS015, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5398-0474","authenticated-orcid":false,"given":"Junwoo","family":"Park","sequence":"additional","affiliation":[{"name":"Korea Advanced Institute of Science and Technology, Daejeon KS015, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyochoong","family":"Bang","sequence":"additional","affiliation":[{"name":"Korea Advanced Institute of Science and Technology, Daejeon KS015, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1387","reference":[{"key":"r3","doi-asserted-by":"publisher","DOI":"10.5194\/isprs-annals-III-3-83-2016"},{"key":"r11","doi-asserted-by":"publisher","DOI":"10.1109\/78.978374"},{"key":"r12","doi-asserted-by":"publisher","DOI":"10.1109\/34.677275"},{"key":"r13","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"r14","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2007.09.014"},{"key":"r17","unstructured":"AhrendtP. \u201cThe Multivariate Gaussian Probability Distribution,\u201d Tech. 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Technical Univ. of Denmark, 2005."},{"key":"r18","doi-asserted-by":"publisher","DOI":"10.2514\/4.861598"},{"key":"r19","first-page":"226","volume":"96","author":"Ester M.","year":"1996","journal-title":"KDD 1996 Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, KDD-96"}],"container-title":["Journal of Aerospace Information Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/arc.aiaa.org\/doi\/pdf\/10.2514\/1.I010957","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,14]],"date-time":"2023-07-14T17:25:25Z","timestamp":1689355525000},"score":1,"resource":{"primary":{"URL":"https:\/\/arc.aiaa.org\/doi\/10.2514\/1.I010957"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12]]},"references-count":8,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2021,12]]}},"alternative-id":["10.2514\/1.I010957"],"URL":"https:\/\/doi.org\/10.2514\/1.i010957","relation":{},"ISSN":["1940-3151","2327-3097"],"issn-type":[{"value":"1940-3151","type":"print"},{"value":"2327-3097","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,12]]},"assertion":[{"value":"2021-01-13","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-06-07","order":1,"name":"revised","label":"Revised","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-09-16","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-10-25","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}