Visual-inertial odometry: Difference between revisions

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Visual inertial odometry is a method used in 3D tracking. It is a method by which a camera-connected computer system can use visual data from the camera to determine how the camera moves. It involves estimating the position and orientation of a moving sensor, often a camera, by combining visual data from the camera with inertial measurements from an inertial measurement unit (IMU).

It is related to SLAM.

Implementations

Basalt^[1]^[2]

References

[i845-1] "Visual-inertial tracking for Monado". 2022-04-05. https://www.collabora.com/news-and-blog/blog/2022/04/05/visual-inertial-tracking-support-for-monado-openxr/.

[e287-2] "Vladyslav Usenko / basalt · GitLab". 2024-08-15. https://gitlab.com/VladyslavUsenko/basalt.

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[2]

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	'''Visual inertial odometry''' is a method used in 3D tracking. It is a method by which a camera-connected computer system can use visual data from the camera to determine how the camera moves. It involves estimating the [[position]] and [[orientation]] of a moving sensor, often a camera, by combining visual data from the camera with inertial measurements from an [[inertial measurement unit]] (IMU).		'''Visual inertial odometry''' is a method used in 3D tracking. It is a method by which a camera-connected computer system can use visual data from the camera to determine how the camera moves. It involves estimating the [[position]] and [[orientation]] of a moving sensor, often a camera, by combining visual data from the camera with inertial measurements from an [[inertial measurement unit]] (IMU).