MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry

Introduces metric-aware uncertainty to stereo visual odometry. Learned covariance guides keypoint selection and residual weighting, connecting image-matching reliability with pose-graph optimization.

Introduces metric-aware uncertainty to stereo visual odometry. Learned covariance guides keypoint selection and residual weighting, connecting image-matching reliability with pose-graph optimization.

When reading the original paper, identify its problem, inputs, outputs, and methodological assumptions.

Introduces metric-aware uncertainty to stereo visual odometry. Learned covariance guides keypoint selection and residual weighting, connecting image-matching reliability with pose-graph optimization.

Check the baselines, datasets, evaluation protocol, and ablations in the original paper. This directory overview does not provide an independent evaluation or experimental results table.