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Stereo-visual-odometry

Determine 6-D pose of the camera by using stereo image sequences using datasets from KITTI

Determine static features using FAST algorithm
Feature matching and tracking using LK optical flow
Optimize using Levenberg-Marquardt nonlinear least squares minimization to get the rotation and translation matrix (6D pose of the vehicle)

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  • Python 100.0%