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Title:

SemanticDepth: Fusing Semantic Segmentation and Monocular Depth Estimation for Enabling Autonomous Driving in Roads without Lane Lines

Document type:
Zeitschriftenaufsatz
Author(s):
R. Palafox, Pablo; Betz, Johannes; Nobis, Felix; Riedl, Konstantin; Lienkamp, Markus
Abstract:
Typically, lane departure warning systems rely on lane lines being present on the road. However, in many scenarios, e.g., secondary roads or some streets in cities, lane lines are either not present or not sufficiently well signaled. In this work, we present a vision-based method to locate a vehicle within the road when no lane lines are present using only RGB images as input. To this end, we propose to fuse together the outputs of a semantic segmentation and a monocular depth estimation archite...     »
Keywords:
FTM Fahrdynamik
Journal title:
Sensors
Year:
2019
Journal volume:
19
Journal issue:
14
Pages contribution:
3224
Covered by:
Scopus
Language:
en
Fulltext / DOI:
doi:10.3390/s19143224
Publisher:
MDPI AG
E-ISSN:
1424-8220
Date of publication:
22.07.2019
TUM Institution:
Lehrstuhl für Fahrzeugtechnik
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