Vision-based Navigation using Semantically Segmented Aerial Images

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 29
  • Download : 0
This paper proposes a new method for vision-based navigation using semantically segmented aerial images. Vision-based navigation can reinforce the vulnerability of the GPS/INS integrated navigation system. However, due to the visual and temporal difference between the aerial image and the database image, the existing image matching algorithms have difficulties being applied to aerial navigation problems. For this reason, this paper proposes a suitable matching method for the flight composed of navigational feature extraction through semantic segmentation followed by template matching. The proposed method shows excellent performance in simulation and even flight situations.
Publisher
KOREAN SOC AERONAUTICAL & SPACE SCIENCES
Issue Date
2020
Language
Korean
Article Type
Article
Citation

JOURNAL OF THE KOREAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES, v.48, no.10, pp.783 - 789

ISSN
1225-1348
DOI
10.5139/JKSAS.2020.48.10.783
URI
http://hdl.handle.net/10203/282151
Appears in Collection
AE-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0