Connectionists: CVVT 2017 – 8th international Workshop on Computer Vision in Vehicle Technology
David Vazquez
dvazquez at cvc.uab.es
Tue Mar 7 04:35:22 EST 2017
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CfP - Apologies for multiple copies
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CVVT 2017 – 8th international Workshop on Computer Vision in Vehicle Technology
Honolulu, Hawaii, 21th July 2017
In conjunction with CVPR 2017
Web: http://adas.cvc.uab.es/cvvt2017
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IMPORTANT DATES
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Submission deadline: 18th March 2017
Author notification: 18th April 2017
Camera-ready: 15th May 2017
Workshop: 21th July 2017
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CALL FOR PAPERS
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The 8th international Workshop on Computer Vision in Vehicle Technology aims to
get together researchers in computer vision to promote discussion and debate on
its application to assisted driving, exploration rovers, aerial vehicles and
underwater vehicles.
We invite the submission of original research contributions in computer vision
addressed to:
- Autonomous navigation and exploration
- Vision-based advanced driver assistance systems
- Vision-based underwater and unmanned aerial vehicles
- Visual driver monitoring and driver-vehicle interfaces
- On-board camera calibration
- Performance evaluation of vehicular applications
- Machine learning techniques for vehicle technology
- Vision based geo-localization
The workshop will also host invited talks on assisted driving, exploratory
rovers, aerial vehicles and underwater vehicles.
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SUBMISSION
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Authors should take into account the following:
- The submission site is https://cmt.research.microsoft.com/CVVT2017/.
- The maximum paper length is 8 pages (plus references). The format of the
papers is the same as the CVPR main conference.
- We accept dual submissions to CVPR 2017 and CVVT 2017, but the manuscript must
contain substantial original contents not submitted to another conference,
workshop or journal.
- Submissions will be rejected without review if they: contain more than 8 pages
(excluding references), violate the double-blind policy or violate the
dual-submission policy.
- Manuscript templates can be found at the main conference
website:<http://cvpr2017.thecvf.com/>
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BEST PAPER
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The CVVT will award the best student paper of the workshop, voted by the program
committee. More details will be provided in the workshop web page.
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Contact
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cvvtconference at gmail.com
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