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Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms
Geiger, Andreas

Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms

Author / Organization:
Open Access Books Published 2021 Verification Pending

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 (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 »