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dc.citation.conferencePlace KO -
dc.citation.conferencePlace Jeju Island -
dc.citation.endPage 1109 -
dc.citation.startPage 1107 -
dc.citation.title 9th International Conference on Information and Communication Technology Convergence, ICTC 2018 -
dc.contributor.author Ki, Myungseok -
dc.contributor.author Cha, Jihun -
dc.contributor.author Lyu, Hyeonsu -
dc.date.accessioned 2024-02-01T01:10:26Z -
dc.date.available 2024-02-01T01:10:26Z -
dc.date.created 2019-03-20 -
dc.date.issued 2018-10-17 -
dc.description.abstract With the rapid growth of the personal drone market, manufacturers of unmanned aerial vehicles(UAV) mainly used in the existing military field are expanding its application in various fields such as leisure, industrial, and public as well. In addition, the autonomous flight of UAV is being developed through combination with various sensors and signal processing technologies. Obstacle detect and avoidance is the most important function to ensure safety of autonomous flight mode. In this paper, we propose an obstacle detect and avoid technique that combines a 2D LiDAR with a stereo camera for safe navigation in autonomous flight of a multi-copter UAV. -
dc.identifier.bibliographicCitation 9th International Conference on Information and Communication Technology Convergence, ICTC 2018, pp.1107 - 1109 -
dc.identifier.doi 10.1109/ICTC.2018.8539587 -
dc.identifier.scopusid 2-s2.0-85059455671 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/80766 -
dc.identifier.url https://ieeexplore.ieee.org/document/8539587 -
dc.language 영어 -
dc.publisher Institute of Electrical and Electronics Engineers Inc. -
dc.title Detect and avoid system based on multi sensor fusion for UAV -
dc.type Conference Paper -
dc.date.conferenceDate 2018-10-17 -

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