Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms
This work is a contribution to understanding multi-object traffic scenes from video sequences. All data is provided by a camera system which is mounted on top of the autonomous driving platform AnnieWAY. The proposed probabilistic generative model reasons jointly about the 3D scene layout as well as...
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| Κύριος συγγραφέας: | |
|---|---|
| Μορφή: | Online |
| Γλώσσα: | Αγγλικά |
| Έκδοση: |
KIT Scientific Publishing
2021
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| Θέματα: | |
| Διαθέσιμο Online: | 34637 |
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| _version_ | 1869526152379367424 |
|---|---|
| author | Geiger, Andreas |
| author_browse | Geiger, Andreas |
| author_facet | Geiger, Andreas |
| author_sort | Geiger, Andreas |
| collection | Directory of Open Access Books |
| description | This work is a contribution to understanding multi-object traffic scenes from video sequences. All data is provided by a camera system which is mounted on top of the autonomous driving platform AnnieWAY. The proposed probabilistic generative model reasons jointly about the 3D scene layout as well as the 3D location and orientation of objects in the scene. In particular, the scene topology, geometry as well as traffic activities are inferred from short video sequences. |
| format | Online |
| id | doab-20.500.12854ir-57007 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | KIT Scientific Publishing |
| publisherStr | KIT Scientific Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-570072023-12-20T18:40:49Z Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms Geiger, Andreas QA75.5-76.95 computer vision machine learning scene understanding bic Book Industry Communication::U Computing & information technology::UY Computer science This work is a contribution to understanding multi-object traffic scenes from video sequences. All data is provided by a camera system which is mounted on top of the autonomous driving platform AnnieWAY. The proposed probabilistic generative model reasons jointly about the 3D scene layout as well as the 3D location and orientation of objects in the scene. In particular, the scene topology, geometry as well as traffic activities are inferred from short video sequences. 2021-02-11T23:55:10Z 2021-02-11T23:55:10Z 2019-07-30 20:01:58 2013 book 34637 16134214 9783731500810 https://directory.doabooks.org/handle/20.500.12854/57007 eng Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie image/jpeg Attribution-ShareAlike 4.0 International https://www.ksp.kit.edu/9783731500810 KIT Scientific Publishing 10.5445/KSP/1000036064 10.5445/KSP/1000036064 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731500810 V, 162 p. open access |
| spellingShingle | QA75.5-76.95 computer vision machine learning scene understanding bic Book Industry Communication::U Computing & information technology::UY Computer science Geiger, Andreas Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms |
| title | Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms |
| title_full | Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms |
| title_fullStr | Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms |
| title_full_unstemmed | Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms |
| title_short | Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms |
| title_sort | probabilistic models for 3d urban scene understanding from movable platforms |
| topic | QA75.5-76.95 computer vision machine learning scene understanding bic Book Industry Communication::U Computing & information technology::UY Computer science |
| topic_facet | QA75.5-76.95 computer vision machine learning scene understanding bic Book Industry Communication::U Computing & information technology::UY Computer science |
| url | 34637 |
| work_keys_str_mv | AT geigerandreas probabilisticmodelsfor3durbansceneunderstandingfrommovableplatforms |