Zobrazeno 1 - 10
of 60
pro vyhledávání: '"punktmoln"'
Autor:
Hu, Yu
The increasing importance of 3D data in various domains, such as computer vision, robotics, medical analysis, augmented reality, and virtual reality, has gained giant research interest in generating 3D data using deep generative models. The challengi
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-343459
Autor:
Luppi, Isabella
This research proposes a novel approach for improving autonomous mobile system navigation in dynamic and potentially occluded environments. The research introduces a tracking framework that combines data from stationary sensing units and on-board sen
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-340705
Autor:
de Gibert Duart, Xavier
Robust detection, localization, and tracking of objects are essential for autonomous driving. Computer vision has largely driven development based on camera sensors in recent years, but 3D localization from images is still challenging. Sensors such a
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-339421
Autor:
Heuser, Björn-Guido, Molander, Olivia
Laserskanning har blivit en vanlig metod för dokumentation, övervakning, underhåll och utveckling av olika industrimiljöer. Särskilt för inmätning och visualisering av komplexa rörledningar på industrianläggningars tak är punktmoln från
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-95152
Autor:
Heuser, Björn-Guido, Molander, Olivia
Laserskanning har blivit en vanlig metod för dokumentation, övervakning, underhåll och utveckling av olika industrimiljöer. Särskilt för inmätning och visualisering av komplexa rörledningar på industrianläggningars tak är punktmoln från
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______383::2ebc31be75995938a407d3debbecccbf
http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-95152
http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-95152
Autor:
Jin, Wangkang
4D panoptic segmentation is an emerging topic in the field of autonomous driving, which jointly tackles 3D semantic segmentation, 3D instance segmentation, and 3D multi-object tracking based on point cloud data. However, the difficulty of collection
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-322956
Autor:
Ishag, Mohamed Salih Abaker
In this research, automatic point cloud modeling strategies have been tested to find the best strategies to model walls, floors and ceilings classes in terms of processing time and accuracy. The modeling was applied on a point cloud data related to t
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-319367
Autor:
Morast, Egil
Malfunction in the overhead contact line system is a common cause of disturbances in the train traffic in Sweden. Due to the preventive methods being inefficient, the Swedish Transport Administration has stated the need to develop the railroad mainte
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-315035
Autor:
Süsskind, Caspian
Deep learning has shown to be successful on the task of semantic segmentation of three-dimensional (3D) point clouds, which has many interesting use cases in areas such as autonomous driving and defense applications. A common type of sensor used for
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-185725
Autor:
Jin, Wangkang
4D panoptic segmentation is an emerging topic in the field of autonomous driving, which jointly tackles 3D semantic segmentation, 3D instance segmentation, and 3D multi-object tracking based on point cloud data. However, the difficulty of collection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______260::fcd11269f8a7b3760a354640f3132101
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-322956
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-322956