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Keyframe-based visual-inertial odometry using nonlinear optimization
Stefan Leutenegger
, Simon Lynen
, Michael Bosse
, Roland Siegwart
, Paul Furgale
Imperial College London
ETH Zurich
Research output
:
Contribution to journal
›
Article
›
peer-review
1716
Scopus citations
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Dive into the research topics of 'Keyframe-based visual-inertial odometry using nonlinear optimization'. Together they form a unique fingerprint.
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Keyphrases
Visual-inertial Odometry
100%
Nonlinear Optimization
100%
Keyframe-based
100%
Inertial Term
66%
Simultaneous Localization and Mapping
33%
Mobile Robotics
33%
Stereo
33%
Superior Performance
33%
Reprojection Error
33%
Accelerometer
33%
Inertial Measurement
33%
Evaluation Results
33%
Sense Modalities
33%
Tightly Coupled
33%
Real-time Operation
33%
Sparsity
33%
Reference Implementation
33%
Complementary Characteristics
33%
Visual Estimation
33%
Visual Measurement
33%
Gyroscope
33%
Marginalization
33%
Sliding Filter
33%
Probabilistic Cost Analysis
33%
Popular
33%
Visual-inertial
33%
Superior Accuracy
33%
Stochastic Cloning
33%
Stereo Visual
33%
Computer Science
Odometry
100%
Mobile Robotics
33%
Superior Performance
33%
Evaluation Result
33%
Sliding Window
33%
Sparsity
33%
Reference Implementation
33%
Simultaneous localization and mapping
33%
Computer Hardware
33%
Social Exclusion
33%