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The current initialization scheme requires static conditions. If the static conditions are not good, it will drift away later. I plan to use SFM to solve , but with this method, the covariance in the sliding window cannot be obtained, and only the result of the state(ba, bg, pose,v) can be used.
Is there any good initialization scheme for msckf?
The text was updated successfully, but these errors were encountered:
Revisiting visual-inertial structure from motion for odometry and SLAM initialization
Georgios Evangelidis, Branislav Micusik https://arxiv.org/abs/2006.06017
An Analytical Solution to the IMU Initialization Problem for Visual-Inertial Systems
David Zuñiga-Noël, Francisco-Angel Moreno, Javier Gonzalez-Jimenez https://arxiv.org/abs/2103.03389
The current initialization scheme requires static conditions. If the static conditions are not good, it will drift away later. I plan to use SFM to solve , but with this method, the covariance in the sliding window cannot be obtained, and only the result of the state(ba, bg, pose,v) can be used.
Is there any good initialization scheme for msckf?
The text was updated successfully, but these errors were encountered: