Communication-Efficient Relative Pose Estimation with Vision Foundation Models for Ephemeral Collaborative Perception
CERPE estimates relative robot pose efficiently by using vision foundation models and shared descriptors. It reduces communication by only requesting raw images when visual overlap is likely, using fixed-size descriptors as a proxy for overlap. Non-overlapping encounters are handled by propagating existing relative poses through scaled ego-motion.