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.
Originalsprache | Englisch |
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Titel | Computer Analysis of Images and Patterns |
Redakteure/-innen | Michael Felsberg, Anders Heyden, Norbert Krüger |
Seitenumfang | 12 |
Band | 10424 |
Herausgeber (Verlag) | Springer International Publishing |
Erscheinungsdatum | 28.07.2017 |
Seiten | 332-343 |
ISBN (Print) | 978-3-319-64688-6 |
ISBN (elektronisch) | 978-3-319-64689-3 |
DOIs | |
Publikationsstatus | Veröffentlicht - 28.07.2017 |
Veranstaltung | 17th International Conference on Computer Analysis of Images and Patterns - Ystad, Schweden Dauer: 22.08.2017 → 24.08.2017 Konferenznummer: 196269 |