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Published in 2017 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2016.2521413
Abstract: State of the art approaches for visual-inertial sensor fusion use filter-based or optimization-based algorithms. Due to the nonlinearity of the system, a poor initialization can have a dramatic impact on the performance of these estimation…
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Keywords:
gyroscope bias;
state;
initialization;
performance ... See more keywords
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Published in 2024 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2025.3544522
Abstract: Accurate and robust initialization is essential for Visual-Inertial Odometry (VIO), as poor initialization can severely degrade pose accuracy. During initialization, it is crucial to estimate parameters such as accelerometer bias, gyroscope bias, initial velocity, gravity,…
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Keywords:
gravity;
initialization;
normal epipolar;
probabilistic normal ... See more keywords