Unmanned Aerial Vehicle Based Power Pole Localization Using Image Stitching
When facing natural disasters, power transmission and distribution towers are prone to tilting, collapsing, and other situations, which can easily lead to line faults and subsequently cause power outage incidents. In order to quickly and accurately locate abnormal towers and restore power supply pro...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2024-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/42/e3sconf_uct2024_01011.pdf |
| _version_ | 1797213154489401344 |
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| author | Zhang Zhao Guo Hongwu He Yongxiang Liu Jianbin Peng Xuefeng Yan Lin He Jiaxing Li Xuanying Gao Yi |
| author_facet | Zhang Zhao Guo Hongwu He Yongxiang Liu Jianbin Peng Xuefeng Yan Lin He Jiaxing Li Xuanying Gao Yi |
| author_sort | Zhang Zhao |
| collection | DOAJ |
| description | When facing natural disasters, power transmission and distribution towers are prone to tilting, collapsing, and other situations, which can easily lead to line faults and subsequently cause power outage incidents. In order to quickly and accurately locate abnormal towers and restore power supply promptly, the power maintenance department typically employs unmanned aerial vehicles (UAVs) for post-disaster inspections of power line towers. Traditional methods for UAV ground target localization mainly rely on the UAV’s own position, attitude, and onboard sensor information to indirectly calculate the target’s position. This method is influenced by the Global Positioning System (GPS) and Inertial Navigation System (INS), relying on high-precision sensors. To achieve precise positioning of power line towers with simplified equipment on UAVs, this paper proposes a visual passive localization method based on ground control points. Addressing the sparse distribution of ground control points, a solution based on image stitching is introduced to overcome difficulties in localization caused by insufficient ground control points. |
| first_indexed | 2024-04-24T10:53:46Z |
| format | Article |
| id | doaj.art-f5bf160660bc48a09b98a36a51b4374b |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-04-24T10:53:46Z |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-f5bf160660bc48a09b98a36a51b4374b2024-04-12T07:41:52ZengEDP SciencesE3S Web of Conferences2267-12422024-01-015120101110.1051/e3sconf/202451201011e3sconf_uct2024_01011Unmanned Aerial Vehicle Based Power Pole Localization Using Image StitchingZhang Zhao0Guo Hongwu1He Yongxiang2Liu Jianbin3Peng Xuefeng4Yan Lin5He Jiaxing6Li Xuanying7Gao Yi8College of Intelligent Science, National University of Defense TechnologyCollege of Intelligent Science, National University of Defense TechnologyCollege of Intelligent Science, National University of Defense TechnologyCollege of Intelligent Science, National University of Defense TechnologyCollege of Intelligent Science, National University of Defense TechnologyCollege of Intelligent Science, National University of Defense TechnologyCollege of Intelligent Science, National University of Defense TechnologyCollege of Intelligent Science, National University of Defense TechnologyCollege of Intelligent Science, National University of Defense TechnologyWhen facing natural disasters, power transmission and distribution towers are prone to tilting, collapsing, and other situations, which can easily lead to line faults and subsequently cause power outage incidents. In order to quickly and accurately locate abnormal towers and restore power supply promptly, the power maintenance department typically employs unmanned aerial vehicles (UAVs) for post-disaster inspections of power line towers. Traditional methods for UAV ground target localization mainly rely on the UAV’s own position, attitude, and onboard sensor information to indirectly calculate the target’s position. This method is influenced by the Global Positioning System (GPS) and Inertial Navigation System (INS), relying on high-precision sensors. To achieve precise positioning of power line towers with simplified equipment on UAVs, this paper proposes a visual passive localization method based on ground control points. Addressing the sparse distribution of ground control points, a solution based on image stitching is introduced to overcome difficulties in localization caused by insufficient ground control points.https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/42/e3sconf_uct2024_01011.pdf |
| spellingShingle | Zhang Zhao Guo Hongwu He Yongxiang Liu Jianbin Peng Xuefeng Yan Lin He Jiaxing Li Xuanying Gao Yi Unmanned Aerial Vehicle Based Power Pole Localization Using Image Stitching E3S Web of Conferences |
| title | Unmanned Aerial Vehicle Based Power Pole Localization Using Image Stitching |
| title_full | Unmanned Aerial Vehicle Based Power Pole Localization Using Image Stitching |
| title_fullStr | Unmanned Aerial Vehicle Based Power Pole Localization Using Image Stitching |
| title_full_unstemmed | Unmanned Aerial Vehicle Based Power Pole Localization Using Image Stitching |
| title_short | Unmanned Aerial Vehicle Based Power Pole Localization Using Image Stitching |
| title_sort | unmanned aerial vehicle based power pole localization using image stitching |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/42/e3sconf_uct2024_01011.pdf |
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