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Semantic classification of road markings from geometric primitives

Abstract:

The classification of semantically meaningful road markings in images is an important and safety critical task for autonomous and semi-autonomous vehicles. However, beyond simple lane markings, real-time detection and interpretation of road markings is challenging as images are subject to occlusions, partial observations, lighting changes and differing weather conditions. Additionally, there is high variation in the road markings between countries and regions, which makes interpretation diffi...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted manuscript

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Publisher copy:
10.1109/ITSC.2018.8569382

Authors


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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Oxford college:
Keble College
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Funding agency for:
Amayo, P
Publisher:
Institute for Electrical and Electronics Engineers Publisher's website
Publication date:
2018-12-10
Acceptance date:
2018-07-02
DOI:
Pubs id:
pubs:942443
URN:
uri:67091b91-f4ca-4eda-af87-947f9e3f607a
UUID:
uuid:67091b91-f4ca-4eda-af87-947f9e3f607a
Local pid:
pubs:942443

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