Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms

Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms
Author :
Publisher : KIT Scientific Publishing
Total Pages : 196
Release :
ISBN-13 : 9783731500810
ISBN-10 : 3731500817
Rating : 4/5 (17 Downloads)

Book Synopsis Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms by : Andreas Geiger

Download or read book Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms written by Andreas Geiger and published by KIT Scientific Publishing. This book was released on 2014-07-29 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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