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...

Descripción completa

Detalles Bibliográficos
Otros Autores: Geiger, Andreas (auth)
Formato: Libro electrónico
Idioma:Inglés
Publicado: KIT Scientific Publishing 2013
Colección:Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009740949106719
Descripción
Sumario: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.
Descripción Física:1 electronic resource (V, 162 p. p.)