DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hong, Kyungwoo | ko |
dc.contributor.author | Kim, Sungjoong | ko |
dc.contributor.author | Park, Junwoo | ko |
dc.contributor.author | Bang, Hyochoong | ko |
dc.date.accessioned | 2022-06-06T07:00:11Z | - |
dc.date.available | 2022-06-06T07:00:11Z | - |
dc.date.created | 2021-12-14 | - |
dc.date.issued | 2021-12 | - |
dc.identifier.citation | JOURNAL OF AEROSPACE INFORMATION SYSTEMS, v.18, no.12, pp.964 - 972 | - |
dc.identifier.issn | 2327-3097 | - |
dc.identifier.uri | http://hdl.handle.net/10203/296829 | - |
dc.description.abstract | 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-denied 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 L2 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 L2 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 m. | - |
dc.language | English | - |
dc.publisher | AMER INST AERONAUTICS ASTRONAUTICS | - |
dc.title | Particle Filter Approach to Vision-Based Navigation with Aerial Image Segmentation | - |
dc.type | Article | - |
dc.identifier.wosid | 000726398400001 | - |
dc.identifier.scopusid | 2-s2.0-85121039001 | - |
dc.type.rims | ART | - |
dc.citation.volume | 18 | - |
dc.citation.issue | 12 | - |
dc.citation.beginningpage | 964 | - |
dc.citation.endingpage | 972 | - |
dc.citation.publicationname | JOURNAL OF AEROSPACE INFORMATION SYSTEMS | - |
dc.identifier.doi | 10.2514/1.I010957 | - |
dc.contributor.localauthor | Bang, Hyochoong | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
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