Feature coordinate estimation by time differenced vision/GPS/INS
This paper proposes a multi-baseline method to estimate absolute coordinates of point clouds and the camera attitude parameter utilizing feature points in successive images. Conventionally, 3D map generation methodologies have been based on images acquired by aerial or land vehicles. Pixels correspo...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2019-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/20/e3sconf_isgnss2018_01005.pdf |
| _version_ | 1818624117851553792 |
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| author | Lee Yu dam Choi Kwang Ho Yoo Won Jae Kim La Woo Lee Hyung Keun |
| author_facet | Lee Yu dam Choi Kwang Ho Yoo Won Jae Kim La Woo Lee Hyung Keun |
| author_sort | Lee Yu dam |
| collection | DOAJ |
| description | This paper proposes a multi-baseline method to estimate absolute coordinates of point clouds and the camera attitude parameter utilizing feature points in successive images. Conventionally, 3D map generation methodologies have been based on images acquired by aerial or land vehicles. Pixels corresponding to known landmarks are manually identified at first. Next, the coordinates are directly geo-referenced and automatically allocated to pixels with high-quality Global Positioning System (GPS) and Inertial Navigation System (INS). However, it is difficult to obtain accurate coordinates by the conventional methodology with low-cost GPS and INS. With camera positions and attitude parameters, image-based point clouds can be compensated accurately. A simulation was carried out to evaluate the performance of the proposed method. |
| first_indexed | 2024-12-16T18:51:52Z |
| format | Article |
| id | doaj.art-799cc1441df049aeadd11d7714a32bf2 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-16T18:51:52Z |
| publishDate | 2019-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-799cc1441df049aeadd11d7714a32bf22022-12-21T22:20:40ZengEDP SciencesE3S Web of Conferences2267-12422019-01-01940100510.1051/e3sconf/20199401005e3sconf_isgnss2018_01005Feature coordinate estimation by time differenced vision/GPS/INSLee Yu dam0Choi Kwang Ho1Yoo Won Jae2Kim La Woo3Lee Hyung Keun4Department of Electronics and Information Engineering, Korea Aerospace UniversityDepartment of Electronics and Information Engineering, Korea Aerospace UniversityDepartment of Electronics and Information Engineering, Korea Aerospace UniversityDepartment of Electronics and Information Engineering, Korea Aerospace UniversitySchool of Electronics, Telecommunication and Computer Engineering, Korea Aerospace UniversityThis paper proposes a multi-baseline method to estimate absolute coordinates of point clouds and the camera attitude parameter utilizing feature points in successive images. Conventionally, 3D map generation methodologies have been based on images acquired by aerial or land vehicles. Pixels corresponding to known landmarks are manually identified at first. Next, the coordinates are directly geo-referenced and automatically allocated to pixels with high-quality Global Positioning System (GPS) and Inertial Navigation System (INS). However, it is difficult to obtain accurate coordinates by the conventional methodology with low-cost GPS and INS. With camera positions and attitude parameters, image-based point clouds can be compensated accurately. A simulation was carried out to evaluate the performance of the proposed method.https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/20/e3sconf_isgnss2018_01005.pdf |
| spellingShingle | Lee Yu dam Choi Kwang Ho Yoo Won Jae Kim La Woo Lee Hyung Keun Feature coordinate estimation by time differenced vision/GPS/INS E3S Web of Conferences |
| title | Feature coordinate estimation by time differenced vision/GPS/INS |
| title_full | Feature coordinate estimation by time differenced vision/GPS/INS |
| title_fullStr | Feature coordinate estimation by time differenced vision/GPS/INS |
| title_full_unstemmed | Feature coordinate estimation by time differenced vision/GPS/INS |
| title_short | Feature coordinate estimation by time differenced vision/GPS/INS |
| title_sort | feature coordinate estimation by time differenced vision gps ins |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/20/e3sconf_isgnss2018_01005.pdf |
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