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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| Format: | Electronic Book Chapter |
| Language: | English |
| Published: |
KIT Scientific Publishing
2013
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| Series: | Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
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| Subjects: | |
| Online Access: | DOAB: download the publication DOAB: description of the publication |
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| 020 | |a 9783731500810 | ||
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| 042 | |a dc | ||
| 100 | 1 | |a Geiger, Andreas |4 auth | |
| 245 | 1 | 0 | |a Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms |
| 260 | |b KIT Scientific Publishing |c 2013 | ||
| 300 | |a 1 electronic resource (V, 162 p. p.) | ||
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| 490 | 1 | |a Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie | |
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a 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. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by-sa/4.0/ |2 cc |4 https://creativecommons.org/licenses/by-sa/4.0/ | ||
| 546 | |a English | ||
| 653 | |a computer vision | ||
| 653 | |a machine learning | ||
| 653 | |a scene understanding | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://www.ksp.kit.edu/9783731500810 |7 0 |z DOAB: download the publication |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/57007 |7 0 |z DOAB: description of the publication |