Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Timo Hackel"'
Current designs of future In-Vehicle Networks (IVN) prepare for switched Ethernet backbones, which can host advanced LAN technologies such as IEEE Time-Sensitive Networking (TSN) and Software-Defined Networking (SDN). In this paper, we present an int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d33e4c3c80de633ac8ed22c08725017
http://arxiv.org/abs/2201.00589
http://arxiv.org/abs/2201.00589
Autor:
Jan Dirk Wegner, Marc Pollefeys, Timo Hackel, Nikolay Savinov, Konrad Schindler, Lubor Ladicky
Publikováno v:
Photogrammetric Engineering & Remote Sensing. 84:297-308
In this paper we review current state-of-the-art in 3D point cloud classification, present a new 3D point cloud classification benchmark data set of single scans with over four billion manually labeled points, and discuss first available results on t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20f4c25b3efb0f06a458ac1576aaff72
https://doi.org/10.14358/pers.84.5.297
https://doi.org/10.14358/pers.84.5.297
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 130:231-245
We present an effective and efficient method for point-wise semantic classification and extraction of object contours of large-scale 3D point clouds. What makes point cloud interpretation challenging is the sheer size of several millions of points pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf64cbf61285633f952995cccaaa18c0
https://doi.org/10.1016/j.isprsjprs.2017.05.012
https://doi.org/10.1016/j.isprsjprs.2017.05.012
Autor:
Jan Dirk Wegner, Marc Pollefeys, Lubor Ladicky, Nikolay Savinov, Timo Hackel, Konrad Schindler
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-1-W1, Pp 91-98 (2017)
This paper presents a new 3D point cloud classification benchmark data set with over four billion manually labelled points, meant as input for data-hungry (deep) learning methods. We also discuss first submissions to the benchmark that use deep convo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b9d931b03376fb917b827262c7aeb28
https://doi.org/10.5194/isprs-annals-iv-1-w1-91-2017
https://doi.org/10.5194/isprs-annals-iv-1-w1-91-2017
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, III-3
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol III-3, Pp 177-184 (2016)
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol III-3, Pp 177-184 (2016)
We describe an effective and efficient method for point-wise semantic classification of 3D point clouds. The method can handle unstructured and inhomogeneous point clouds such as those derived from static terrestrial LiDAR or photogammetric reconstru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::770882a898431348638b82fa1bf8f2fb
https://doi.org/10.5194/isprsannals-iii-3-177-2016
https://doi.org/10.5194/isprsannals-iii-3-177-2016
Publikováno v:
Pattern Recognition
Lecture Notes in Computer Science ISBN: 9783030129385
GCPR
Lecture Notes in Computer Science ISBN: 9783030129385
GCPR
Pattern Recognition
ISBN:978-3-030-12938-5
ISBN:978-3-030-12939-2
ISBN:978-3-030-12938-5
ISBN:978-3-030-12939-2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc6fc2cfc1e0d4c9761a2e75911e75ee
Publikováno v:
CVPR
We describe a method to automatically detect contours, i.e. lines along which the surface orientation sharply changes, in large-scale outdoor point clouds. Contours are important intermediate features for structuring point clouds and converting them
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f45769dbc88d5a829c1a2493405fcd1
https://doi.org/10.1109/cvpr.2016.178
https://doi.org/10.1109/cvpr.2016.178
Publikováno v:
I2MTC
Novel safety systems are needed to meet the growing demand of railway operation. In this paper we introduce general techniques for the detection of tracks and their components in 3D laser scanning data. These techniques make use of feature based meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cd1c3a44e81aa3c8909fcf6be00ea7c
https://doi.org/10.1109/i2mtc.2015.7151352
https://doi.org/10.1109/i2mtc.2015.7151352