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pro vyhledávání: '"appearance-based loop closure"'
Akademický článek
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Publikováno v:
Proceedings of the British Machine Vision Conference (BMVC)
Visual SLAM approaches typically depend on loop closure detection to correct the inconsistencies that may arise during the map and camera trajectory calculations, typically making use of point features for detecting and closing the existing loops. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2934626c9f9bddafca1e668e38bd74be
https://doi.org/10.5281/zenodo.4262960
https://doi.org/10.5281/zenodo.4262960
Publikováno v:
2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
ETFA
ETFA
Recognizing whether the current place has been visited before or not is an important task in robotic navigation, since it helps to reduce the inconsistencies produced by the inherent noise of navigation sensors. When a camera is used as input for nav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::623a1a39e1026732eeea1946234d6e1a
Publikováno v:
2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
ETFA
ETFA
SLAM approaches rely on loop closure strategies to avoid and/or correct the inconsistencies in the resulting map. These inconsistencies are mainly caused by the effect of sensor noise in odometry sources. For the case of visual SLAM, loop detection t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::adfab355f170795a04a80cb2a0124249