uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Revisit Surround-view Camera System Calibration
Tongji University.
Tongji University.
Tongji University.
Tongji University.
Show others and affiliations
2019 (English)Conference paper, Published paper (Refereed)
Abstract [en]

The surround-view system is an essential component of an advanced driver assistance system especially when the vehicle runs in tight parking space or on a narrow road. To ensure successful maneuvering, a panoramic bird's-eye image with no blind spots is necessarily called for. Hence, a typical surround-view system consists of several cameras mounted around the vehicle capturing images from a top-down viewpoint, and an accurate extrinsic calibration for such system is prerequisite for providing a seamless surround-view image. To achieve this goal, this paper presents a novel extrinsic calibration pipeline which is both easy-to-use and reliable to operate on multiple cameras. Instead of taking the vehicle to a fixed position in a specific calibration site, a single chessboard is the only demand. We adopt a novel refinement procedure that jointly optimizes camera poses in a closed-loop manner. The effectiveness and efficiency of the proposed pipeline to calibrate a surround-view camera system has been corroborated by experiments.

Place, publisher, year, edition, pages
Shanghai, China, 2019.
Keywords [en]
Cameras, Calibration, Pipelines, Optimization, Vehicles, Advanced driver assistance systems, Feature extraction
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:uu:diva-390157DOI: 10.1109/ICME.2019.00257ISBN: 978-1-5386-9552-4 (electronic)ISBN: 978-1-5386-9553-1 (print)OAI: oai:DiVA.org:uu-390157DiVA, id: diva2:1340705
Conference
2019 IEEE International Conference on Multimedia and Expo (ICME)
Available from: 2019-08-06 Created: 2019-08-06 Last updated: 2019-08-06

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full texthttps://ieeexplore.ieee.org/document/8784899

Search in DiVA

By author/editor
Yang, Yukai
By organisation
Department of Statistics
Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 8 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf