Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms
Overview & Synopsis
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.
Indexed from repository: Directory of Open Access Books
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www.doabooks.org)
Document Information
| Document Title | Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms |
|---|---|
| Author / Organization | Geiger, Andreas |
| Subject & Discipline | QA75.5-76.95 |
| Categories | Open Access Books |
| Publication Year | 2021 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
Directory of Open Access Books
(www.doabooks.org)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-138146 |
| Original Source Link | Visit Source Page on www.doabooks.org » |