Drone Swarm Operating and Monitoring System for States Error Compensation

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dc.contributor.authorWee, Inhwanko
dc.contributor.authorKim, Taeyeonko
dc.contributor.authorLee, Dasolko
dc.date.accessioned2021-11-04T06:46:59Z-
dc.date.available2021-11-04T06:46:59Z-
dc.date.created2021-10-26-
dc.date.issued2020-12-
dc.identifier.citation8th International Conference on Robot Intelligence Technology and Applications, RiTA 2020, pp.86 - 92-
dc.identifier.issn2195-4356-
dc.identifier.urihttp://hdl.handle.net/10203/288816-
dc.description.abstractThere have been many studies trying to solve existing research topics using multiple drones instead of one. This is because multiple drones are better than a single drone to perform missions more efficiently and perform complex missions. To operate a swarm drone, it consumes a lot of resources only by its size and scale. Since the scale cannot be reduced, the overall burden decreases when a small drone is operated. However, a small-sized drone has a lot of problems with rtk-gps, magnetometer noise, RF/ESC noise, and motor vibration. For these reasons, there are cases where state estimation is not properly performed. In this paper, therefore, we propose a system that can perform swarm flight using such a small drone, monitor the state error of each drone, and correct it. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.-
dc.languageEnglish-
dc.publisherSpringer Science and Business Media Deutschland GmbH-
dc.titleDrone Swarm Operating and Monitoring System for States Error Compensation-
dc.typeConference-
dc.identifier.scopusid2-s2.0-85113744667-
dc.type.rimsCONF-
dc.citation.beginningpage86-
dc.citation.endingpage92-
dc.citation.publicationname8th International Conference on Robot Intelligence Technology and Applications, RiTA 2020-
dc.identifier.conferencecountryUS-
dc.identifier.doi10.1007/978-981-16-4803-8_10-
dc.contributor.localauthorWee, Inhwan-
dc.contributor.nonIdAuthorKim, Taeyeon-
dc.contributor.nonIdAuthorLee, Dasol-
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