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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">gyroscopy</journal-id><journal-title-group><journal-title xml:lang="ru">Гироскопия и навигация</journal-title><trans-title-group xml:lang="en"><trans-title>Giroskopiya i Navigatsiya</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">0869-7035</issn><issn pub-type="epub">2075-0927</issn><publisher><publisher-name>AO «Концерн «ЦНИИ «Электроприбор»</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.17285/0869-7035.2014.22.4.099-110</article-id><article-id custom-type="elpub" pub-id-type="custom">gyroscopy-468</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Статьи</subject></subj-group></article-categories><title-group><article-title>Автоматическое распознавание зданий сложной формы при навигации микролетательных аппаратов</article-title><trans-title-group xml:lang="en"><trans-title></trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Попп</surname><given-names>М.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Попп Мануэль, дипломированный инженер, научный сотрудник.           </p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Гранахер</surname><given-names>Р.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Гранахер Роман, Бакалавр, практикант. </p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Троммер</surname><given-names>Г. Ф.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Троммер Герт Франц, доктор технических наук, профессор, директор. Действительный член общественного объединения «Академия навигации и управления движением».</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff xml:lang="ru" id="aff-1"><institution>Институт оптимизации систем, Технологический институт Карлсруэ</institution><country>Germany</country></aff><pub-date pub-type="collection"><year>2014</year></pub-date><pub-date pub-type="epub"><day>03</day><month>02</month><year>2026</year></pub-date><volume>22</volume><issue>4</issue><fpage>99</fpage><lpage>110</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Попп М., Гранахер Р., Троммер Г., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Попп М., Гранахер Р., Троммер Г.</copyright-holder><copyright-holder xml:lang="en">Попп М., Гранахер Р., Троммер Г.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.gyroscopy.ru/jour/article/view/468">https://www.gyroscopy.ru/jour/article/view/468</self-uri><abstract><p>В районах с ослабленным приемом сигналов GPS, например в городских условиях, необходимо использовать альтернативные способы коррекции показаний инерциальных навигационных систем (ИНС). Обсуждается задача использования при навигации микролетательных аппаратов (МЛА) в качестве ориентиров зданий, выделенных на аэроснимках. В статье представлен новый метод решения этой задачи. Для реализации предложенного алгоритма на борту МЛА в процессе полета необходимо, чтобы соответствующие вычисления выполнялись быстро и автоматически, без перенастройки параметров оператором. В целях обеспечения максимально широкого диапазон применений алгоритма не налагается никаких ограничений на параметры зданий, что позволяет распознавать различные типы зданий сложной формы.</p><p>Статья по докладу на XXI Санкт-Петербургской международной конференции по интегрированным навигационным системам.</p></abstract><trans-abstract xml:lang="en"><p>In areas with insufficient GPS reception, like in urban areas close to buildings, alternative techniques have to be used to assist the inertial navigation system. The longterm objective of this work is to use buildings, detected in camera images, as distinctive landmarks for navigating micro aerial vehicles within the aforementioned areas. This paper presents a new method to detect buildings in aerial images. To use this algorithm onboard the vehicle during the mission, it has to be fast and executed automatically without readjusting any parameters by the operator. To cover a wide range of possible application areas, no building constraints are required. Therefore a wide variation of buildings with complex shapes can be detected.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>Микролетательные аппараты</kwd><kwd>автоматическое распознавание зданий</kwd><kwd>инерциальные навигационные системы</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Building Detection</kwd><kwd>Aerial Images</kwd><kwd>Integrated Navigation Solution</kwd><kwd>Urban Area</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Comport, A, Malis, E and Rives, E. Accurate quadrifocal tracking for robust 3d visual odometry. IEEE International Conference on Robotics and Automation. 2007.</mixed-citation><mixed-citation xml:lang="en">Comport, A, Malis, E and Rives, E. Accurate quadrifocal tracking for robust 3d visual odometry. 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