Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Caifa Zhou"'
Publikováno v:
IEEE Access, Vol 9, Pp 46686-46697 (2021)
Crowd-sourcing has become a promising way to build a feature-based indoor positioning system that has lower labour and time costs. It can make full use of the widely deployed infrastructure as well as built-in sensors on mobile devices. One of the ke
Externí odkaz:
https://doaj.org/article/6aaf33ba630b4964ac1551b6fc2907d0
Publikováno v:
Proceedings of the 1st ACM Workshop on Mobile and Wireless Sensing for Smart Healthcare.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e943c37df76a7bc1aa030b7ecbac2491
https://doi.org/10.1145/3556551.3561188
https://doi.org/10.1145/3556551.3561188
Publikováno v:
Journal of Applied Geodesy, 15 (2)
The goal of classical geodetic data analysis is often to estimate distributional parameters like expected values and variances based on measurements that are subject to uncertainty due to unpredictable environmental effects and instrument specific no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9289b337fd91d1d1ed6835df462983df
https://doi.org/10.1515/jag-2020-0043
https://doi.org/10.1515/jag-2020-0043
Publikováno v:
Journal of Applied Geodesy, 14 (2)
Areal deformation monitoring based on point clouds can be a very valuable alternative to the established point-based monitoring techniques, especially for deformation monitoring of natural scenes. However, established deformation analysis approaches
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72ca5e84f30a27c8187b30230ef6c7ed
https://doi.org/10.1515/jag-2019-0044
https://doi.org/10.1515/jag-2019-0044
This paper introduces rotation-equivariance as a self-supervisor to train inertial odometry models. We demonstrate that the self-supervised scheme provides a powerful supervisory signal at training phase as well as at inference stage. It reduces the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd3a3e472914f8f715843ae758b206d4
http://arxiv.org/abs/2111.11676
http://arxiv.org/abs/2111.11676
Publikováno v:
IEEE Sensors Journal. 19:1104-1113
Trajectory estimation is a problem derived from a common indoor positioning scenario: the user is perceiving the environment while in motion. This paper focuses on an instance: the dead reckoning data of the user are provided by foot-mounted inertial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be6d314b70529357d5f2d38f478f9bc6
https://doi.org/10.1109/jsen.2018.2877804
https://doi.org/10.1109/jsen.2018.2877804
Publikováno v:
CVPR
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
We present a novel, end-to-end learnable, multiview 3D point cloud registration algorithm. Registration of multiple scans typically follows a two-stage pipeline: the initial pairwise alignment and the globally consistent refinement. The former is oft
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8b2c02255460a249276acd3f749a4e5
https://doi.org/10.1109/cvpr42600.2020.00183
https://doi.org/10.1109/cvpr42600.2020.00183
LEARNED COMPACT LOCAL FEATURE DESCRIPTOR FOR TLS-BASED GEODETIC MONITORING OF NATURAL OUTDOOR SCENES
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-2, Pp 113-120 (2018)
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-2
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-2
The advantages of terrestrial laser scanning (TLS) for geodetic monitoring of man-made and natural objects are not yet fully exploited. Herein we address one of the open challenges by proposing feature-based methods for identification of correspondin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a29c45f5bac399a5b7e20521ffb24e05
https://doi.org/10.5194/isprs-annals-iv-2-113-2018
https://doi.org/10.5194/isprs-annals-iv-2-113-2018
Autor:
Andreas Wieser, Caifa Zhou
We propose an iterative scheme for feature-based positioning using a new weighted dissimilarity measure with the goal of reducing the impact of large errors among the measured or modeled features. The weights are computed from the location-dependent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3146ce5dbba1e518566514c2a7437fa
Publikováno v:
CVPR
We propose 3DSmoothNet, a full workflow to match 3D point clouds with a siamese deep learning architecture and fully convolutional layers using a voxelized smoothed density value (SDV) representation. The latter is computed per interest point and ali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2939122375c81494ee75885ff463c927
https://doi.org/10.1109/cvpr.2019.00569
https://doi.org/10.1109/cvpr.2019.00569