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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Book Chapter |
| Published: |
KIT Scientific Publishing
2013
|
| Subjects: | |
| Online Access: | Get Fullteks DOAB: description of the publication |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| 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. |
|---|---|
| Physical Description: | 1 electronic resource (V, 162 p. p.) |
| ISBN: | KSP/1000036064 9783731500810 |
| Access: | Open Access |