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Real-time Visual-Inertial Odometry for Event Cameras using Keyframe-based Nonlinear Optimization


Rebecq, Henri; Horstschaefer, Timo; Scaramuzza, Davide (2017). Real-time Visual-Inertial Odometry for Event Cameras using Keyframe-based Nonlinear Optimization. In: British Machine Vision Conference, London, 4 September 2017 - 7 September 2017. s.n., 1-8.

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Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scopus Subject Areas:Physical Sciences > Computer Vision and Pattern Recognition
Language:English
Event End Date:7 September 2017
Deposited On:13 Sep 2017 12:38
Last Modified:10 Dec 2021 08:14
Publisher:s.n.
OA Status:Green
Free access at:Official URL. An embargo period may apply.
Official URL:http://rpg.ifi.uzh.ch/docs/BMVC17_Rebecq.pdf
Other Identification Number:merlin-id:15235