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Hybrid Visual Odometry: RAFT + ORB

A confidence selector can turn deep and classical visual odometry branches into a more robust research architecture.

RAFT provides dense optical flow, while ORB provides a classic feature-based signal. A hybrid visual odometry system can compare confidence and consistency across both branches before selecting a pose estimate.

The interesting engineering problem is not just model accuracy; it is deciding when each branch should be trusted.