Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms
Download or Read eBook Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms PDF 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.
| Author | : Andreas Geiger |
| Publisher | : KIT Scientific Publishing |
| Total Pages | : 196 |
| Release | : 2014-07-29 |
| ISBN-10 | : 9783731500810 |
| ISBN-13 | : 3731500817 |
| Rating | : 4/5 (10 Downloads) |
Book Synopsis Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms by : Andreas Geiger
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.
