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: Geiger, Andreas
Μορφή: Online
Γλώσσα:Αγγλικά
Έκδοση: KIT Scientific Publishing 2021
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Διαθέσιμο Online:34637
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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.
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institution Directory of Open Access Books
language eng
publishDate 2021
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publisherStr KIT Scientific Publishing
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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