Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Stephan Nebiker"'
Publikováno v:
Remote Sensing, Vol 13, Iss 16, p 3099 (2021)
A successful application of low-cost 3D cameras in combination with artificial intelligence (AI)-based 3D object detection algorithms to outdoor mobile mapping would offer great potential for numerous mapping, asset inventory, and change detection ta
Externí odkaz:
https://doaj.org/article/90d7ae275d744d60bc4662503065fb08
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 4, Iss 4, Pp 2267-2291 (2015)
In this paper, we introduce the concept and an implementation of geospatial 3D image spaces as new type of native urban models. 3D image spaces are based on collections of georeferenced RGB-D imagery. This imagery is typically acquired using multi-vi
Externí odkaz:
https://doaj.org/article/4bc275af7319427d8c9da7aae1308b8a
Publikováno v:
Remote Sensing, Vol 6, Iss 9, Pp 8310-8336 (2014)
A successful application of dense image matching algorithms to historical aerial photographs would offer a great potential for detailed reconstructions of historical landscapes in three dimensions, allowing for the efficient monitoring of various lan
Externí odkaz:
https://doaj.org/article/3f54d95d3fc7433a947e9bef3325236d
Autor:
O. Hasler, Stephan Nebiker
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B1-2021, Pp 215-220 (2021)
Estimating the pose of a mobile robotic platform is a challenging task, especially when the pose needs to be estimated in a global or local reference frame and when the estimation has to be performed while the platform is moving. While the position o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f414f663ea6d40030448022d60225e72
https://doi.org/10.5194/isprs-archives-xliii-b1-2021-215-2021
https://doi.org/10.5194/isprs-archives-xliii-b1-2021-215-2021
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B1-2021, Pp 125-131 (2021)
With this contribution, we describe and publish two high-quality street-level datasets, captured with a portable high-performance Mobile Mapping System (MMS). The datasets will be freely available for scientific use. Both datasets, from a city centre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2cc9ddf9a7aadbe7ede58700b16f644e
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B1-2021/125/2021/isprs-archives-XLIII-B1-2021-125-2021.pdf
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B1-2021/125/2021/isprs-archives-XLIII-B1-2021-125-2021.pdf
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-4-2021, Pp 225-232 (2021)
With this paper, we present a novel approach for efficiently creating reality-based, high-fidelity urban 3D models for interactive VR cycling simulations. The foundation of these 3D models is accurately georeferenced street-level imagery, which can b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd6c601457bfb3686a5d0c33d58bd102
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-4-2021/225/2021/isprs-annals-V-4-2021-225-2021.pdf
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-4-2021/225/2021/isprs-annals-V-4-2021-225-2021.pdf
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-2-2020, Pp 57-63 (2020)
In this paper, we present our approach for robust long-term visual localization in large scale urban environments exploiting street level imagery. Our approach consists of a 2D-image based localization using image retrieval (NetVLAD) to select refere
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ddbe7208d116fdf3fc0af25362103ba
https://doi.org/10.5194/isprs-annals-v-2-2020-57-2020
https://doi.org/10.5194/isprs-annals-v-2-2020-57-2020
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-2-2020, Pp 741-747 (2020)
In this paper, we present a performance evaluation of our smartphone-based mobile mapping application based on an augmented reality (AR) framework in demanding outdoor environments. The implementation runs on Android and iOS devices and demonstrates
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::294456a186273ebcdeb82cbada73aad0
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-2-2020/741/2020/isprs-annals-V-2-2020-741-2020.pdf
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-2-2020/741/2020/isprs-annals-V-2-2020-741-2020.pdf
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-1-2020, Pp 333-341 (2020)
Advances in digitalization technologies lead to rapid and massive changes in infrastructure management. New collaborative processes and workflows require detailed, accurate and up-to-date 3D geodata. Image-based web services with 3D measurement funct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a9b9899daf373edde5b8894963efac2
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-1-2020/333/2020/isprs-annals-V-1-2020-333-2020.pdf
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-1-2020/333/2020/isprs-annals-V-1-2020-333-2020.pdf
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W17, Pp 135-141 (2019)
In this paper, we present the implementation of a smartphone-based indoor mobile mapping application based on an augmented reality (AR) framework and a subsequent performance evaluation in demanding indoor environments. The implementation runs on And
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::244913bd8f1990bb5b37c7eab87ebbc4
https://doi.org/10.5194/isprs-archives-xlii-2-w17-135-2019
https://doi.org/10.5194/isprs-archives-xlii-2-w17-135-2019