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2020 | OriginalPaper | Buchkapitel

Full-Time Monocular Road Detection Using Zero-Distribution Prior of Angle of Polarization

verfasst von : Ning Li, Yongqiang Zhao, Quan Pan, Seong G. Kong, Jonathan Cheung-Wai Chan

Erschienen in: Computer Vision – ECCV 2020

Verlag: Springer International Publishing

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Abstract

This paper presents a road detection technique based on long-wave infrared (LWIR) polarization imaging for autonomous navigation regardless of illumination conditions, day and night. Division of Focal Plane (DoFP) imaging technology enables acquisition of infrared polarization images in real time using a monocular camera. Zero-distribution prior embodies the zero-distribution of Angle of Polarization (AoP) of a road scene image, which provides a significant contrast between the road and the background. This paper combines zero-distribution of AoP, the difference of Degree of linear Polarization (DoP), and the edge information to segment the road region in the scene. We developed a LWIR DoFP Dataset of Road Scene (LDDRS) consisting of 2,113 annotated images. Experiment results on the LDDRS dataset demonstrate the merits of the proposed road detection method based on the zero-distribution prior. The LDDRS dataset is available at https://​github.​com/​polwork/​LDDRS.

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Metadaten
Titel
Full-Time Monocular Road Detection Using Zero-Distribution Prior of Angle of Polarization
verfasst von
Ning Li
Yongqiang Zhao
Quan Pan
Seong G. Kong
Jonathan Cheung-Wai Chan
Copyright-Jahr
2020
Buch
Computer Vision – ECCV 2020

Print ISBN: 978-3-030-58594-5

Electronic ISBN: 978-3-030-58595-2

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-3-030-58595-2_28