Visual Landmark Based 3D Road Course Estimation with Black Box Variational Inference

Felix Trusheim, Alexandru Condurache, Alfred Mertins

Abstract

In this paper we present an approach which estimates the course of a road over long distances based on static and dynamic scene cues detected by a video camera. The approach is based on a clothoid road model, a probabilistic fusion concept as well as a fast variational inference method. Our experimental results show that the approach outperforms a state-of-the-art road marking-based method in challenging real-world driving situations.
OriginalspracheEnglisch
TitelComputer Analysis of Images and Patterns
Redakteure/-innenMichael Felsberg, Anders Heyden, Norbert Krüger
Seitenumfang12
Band10424
Herausgeber (Verlag)Springer International Publishing
Erscheinungsdatum28.07.2017
Seiten332-343
ISBN (Print)978-3-319-64688-6
ISBN (elektronisch)978-3-319-64689-3
DOIs
PublikationsstatusVeröffentlicht - 28.07.2017
Veranstaltung17th International Conference on Computer Analysis of Images and Patterns - Ystad, Schweden
Dauer: 22.08.201724.08.2017
Konferenznummer: 196269

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