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Stereo visual odometry algorithm which relies on tracking features independently in the left and right images
and then matching those tracks together.
Full 6-DOF visual odometry where a ranging device is assumed for pixels in the primary view and the motion is estimated
using a
Estimate1ofPnP
.
Estimates the motion of a monocular camera using the known transform between the camera and the ground plane.
Estimates camera ego-motion by assuming the camera is viewing a flat plane and that off plane points are at infinity.
Stereo visual odometry algorithm which associates image features across two stereo pairs for a total of four images.
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Base class for all visual odometry algorithms based on PNP and use bundle adjustment.
Contains the camera's lens distortion model