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Reading between the lanes: Road layout reconstruction from partially segmented scenes

Abstract:

Autonomous vehicles require an accurate and adequate representation of their environment for decision making and planning in real-world driving scenarios. While deep learning methods have come a long way providing accurate semantic segmentation of scenes, they are still limited to pixelwise outputs and do not naturally support high-level reasoning and planning methods that are required for complex road manoeuvres. In contrast, we introduce a hierarchical, graphbased representation, called ...

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

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Publisher copy:
10.1109/ITSC.2018.8569270

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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
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Oxford college:
Keble College
ORCID:
0000-0001-6562-8454
Publisher:
Institute for Electrical and Electronics Engineers Publisher's website
Publication date:
2018-12-10
Acceptance date:
2018-07-02
DOI:
Pubs id:
pubs:942464
URN:
uri:e9392e86-116c-4acd-a414-b14cbcecc641
UUID:
uuid:e9392e86-116c-4acd-a414-b14cbcecc641
Local pid:
pubs:942464

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