Search: onr:"swepub:oai:DiVA.org:uu-390157" >
Revisit Surround-vi...
Revisit Surround-view Camera System Calibration
-
- Shao, Xuan (author)
- Tongji University
-
- Liu, Xiao (author)
- Tongji University
-
- Zhang, Lin (author)
- Tongji University
-
show more...
-
- Zhao, Shengjie (author)
- Tongji University
-
- Shen, Ying (author)
- Tongji University
-
- Yang, Yukai, PhD. Universitetslektor, 1979- (author)
- Uppsala universitet,Statistiska institutionen
-
show less...
-
(creator_code:org_t)
- Shanghai : Institute of Electrical and Electronics Engineers (IEEE), 2019
- 2019
- English.
-
In: 2019 IEEE International Conference on Multimedia and Expo (ICME). - Shanghai : Institute of Electrical and Electronics Engineers (IEEE). - 9781538695524 - 9781538695531 ; , s. 1486-1491
- Related links:
-
https://signalproces...
-
show more...
-
https://urn.kb.se/re...
-
https://doi.org/10.1...
-
show less...
Abstract
Subject headings
Close
- 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.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
Keyword
- Cameras
- Calibration
- Pipelines
- Optimization
- Vehicles
- Advanced driver assistance systems
- Feature extraction
Publication and Content Type
- ref (subject category)
- kon (subject category)
Find in a library
To the university's database