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GNSS-based navigation systems of autonomous drone for delivering items
This paper presents our research on the development of navigation systems of autonomous drone for delivering items that uses a GNSS (Global Navigation Satellite System) and a compass as the main tools in drone. The grand purpose of our research is to deliver important medical aids for patients in em...
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Published in: | Journal of big data 2019-06, Vol.6 (1), p.1-14, Article 53 |
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description | This paper presents our research on the development of navigation systems of autonomous drone for delivering items that uses a GNSS (Global Navigation Satellite System) and a compass as the main tools in drone. The grand purpose of our research is to deliver important medical aids for patients in emergency situations and implementation in agriculture in Indonesia, as part of the big mission of Society 5.0 and related with big data. In sending process, drone must be able to detect object and reach goal position and go back safely using GPS. We proposed a navigation algorithm for drone including the usage of course-over-ground information to help drone in doing autonomous navigation. In the experiment that we did, the average of positional deviation of landing position between the actual landing position and the desired landing position in the flight tests of flying from start to goal is 1.1125 m and for the tests that use the algorithm which uses course-over-ground, the positional deviation has average of 2.39 m. Navigation using course-over-Ground algorithm is not more reliable than the navigation algorithm with GNSS and Compass at a navigation distance of less than 1 m. |
doi_str_mv | 10.1186/s40537-019-0214-3 |
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The grand purpose of our research is to deliver important medical aids for patients in emergency situations and implementation in agriculture in Indonesia, as part of the big mission of Society 5.0 and related with big data. In sending process, drone must be able to detect object and reach goal position and go back safely using GPS. We proposed a navigation algorithm for drone including the usage of course-over-ground information to help drone in doing autonomous navigation. In the experiment that we did, the average of positional deviation of landing position between the actual landing position and the desired landing position in the flight tests of flying from start to goal is 1.1125 m and for the tests that use the algorithm which uses course-over-ground, the positional deviation has average of 2.39 m. Navigation using course-over-Ground algorithm is not more reliable than the navigation algorithm with GNSS and Compass at a navigation distance of less than 1 m.</description><identifier>ISSN: 2196-1115</identifier><identifier>EISSN: 2196-1115</identifier><identifier>DOI: 10.1186/s40537-019-0214-3</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Algorithms ; Autonomous navigation ; Big Data ; Communications Engineering ; Computational Science and Engineering ; Computer Science ; Data Mining and Knowledge Discovery ; Database Management ; Deviation ; Drone ; Emergency medical services ; Flight tests ; Global navigation satellite system ; Global positioning systems ; GNSS ; GPS ; Information Storage and Retrieval ; Landing ; Mathematical Applications in Computer Science ; Medical research ; Navigation satellites ; Navigation systems ; Networks ; Satellite navigation systems</subject><ispartof>Journal of big data, 2019-06, Vol.6 (1), p.1-14, Article 53</ispartof><rights>The Author(s) 2019</rights><rights>Journal of Big Data is a copyright of Springer, (2019). All Rights Reserved. © 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c498t-c6a7c8dbcf282fb66b5e4b1cc395df90af352dedc3d576943af85cdf85c6657a3</citedby><cites>FETCH-LOGICAL-c498t-c6a7c8dbcf282fb66b5e4b1cc395df90af352dedc3d576943af85cdf85c6657a3</cites><orcidid>0000-0003-2681-0901</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2239764029?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,11688,21394,25753,27924,27925,33611,36060,37012,43733,44363,44590</link.rule.ids></links><search><creatorcontrib>Patrik, Aurello</creatorcontrib><creatorcontrib>Utama, Gaudi</creatorcontrib><creatorcontrib>Gunawan, Alexander Agung Santoso</creatorcontrib><creatorcontrib>Chowanda, Andry</creatorcontrib><creatorcontrib>Suroso, Jarot S.</creatorcontrib><creatorcontrib>Shofiyanti, Rizatus</creatorcontrib><creatorcontrib>Budiharto, Widodo</creatorcontrib><title>GNSS-based navigation systems of autonomous drone for delivering items</title><title>Journal of big data</title><addtitle>J Big Data</addtitle><description>This paper presents our research on the development of navigation systems of autonomous drone for delivering items that uses a GNSS (Global Navigation Satellite System) and a compass as the main tools in drone. The grand purpose of our research is to deliver important medical aids for patients in emergency situations and implementation in agriculture in Indonesia, as part of the big mission of Society 5.0 and related with big data. In sending process, drone must be able to detect object and reach goal position and go back safely using GPS. We proposed a navigation algorithm for drone including the usage of course-over-ground information to help drone in doing autonomous navigation. In the experiment that we did, the average of positional deviation of landing position between the actual landing position and the desired landing position in the flight tests of flying from start to goal is 1.1125 m and for the tests that use the algorithm which uses course-over-ground, the positional deviation has average of 2.39 m. Navigation using course-over-Ground algorithm is not more reliable than the navigation algorithm with GNSS and Compass at a navigation distance of less than 1 m.</description><subject>Algorithms</subject><subject>Autonomous navigation</subject><subject>Big Data</subject><subject>Communications Engineering</subject><subject>Computational Science and Engineering</subject><subject>Computer Science</subject><subject>Data Mining and Knowledge Discovery</subject><subject>Database Management</subject><subject>Deviation</subject><subject>Drone</subject><subject>Emergency medical services</subject><subject>Flight tests</subject><subject>Global navigation satellite system</subject><subject>Global positioning systems</subject><subject>GNSS</subject><subject>GPS</subject><subject>Information Storage and Retrieval</subject><subject>Landing</subject><subject>Mathematical Applications in Computer Science</subject><subject>Medical research</subject><subject>Navigation 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The grand purpose of our research is to deliver important medical aids for patients in emergency situations and implementation in agriculture in Indonesia, as part of the big mission of Society 5.0 and related with big data. In sending process, drone must be able to detect object and reach goal position and go back safely using GPS. We proposed a navigation algorithm for drone including the usage of course-over-ground information to help drone in doing autonomous navigation. In the experiment that we did, the average of positional deviation of landing position between the actual landing position and the desired landing position in the flight tests of flying from start to goal is 1.1125 m and for the tests that use the algorithm which uses course-over-ground, the positional deviation has average of 2.39 m. Navigation using course-over-Ground algorithm is not more reliable than the navigation algorithm with GNSS and Compass at a navigation distance of less than 1 m.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1186/s40537-019-0214-3</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0003-2681-0901</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Autonomous navigation Big Data Communications Engineering Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Database Management Deviation Drone Emergency medical services Flight tests Global navigation satellite system Global positioning systems GNSS GPS Information Storage and Retrieval Landing Mathematical Applications in Computer Science Medical research Navigation satellites Navigation systems Networks Satellite navigation systems |
title | GNSS-based navigation systems of autonomous drone for delivering items |
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