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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Bibliographic Details
Main Author: Geiger, Andreas
Format: eBook
Language:English
Published: KIT Scientific Publishing 2013
Series:Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
Subjects:
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary: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.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by-sa/4.0/
Physical Description:1 electronic resource (V, 162 p. p.)
ISBN:1000036064
9783731500810