NOPE combines deep graph matching for overlap detection with cross-attention graph learning for egocentric pose estimation, reporting state-of-the-art results on simulation and real-world connected driving data with 27 KB shared messages.
Relative localizability and localization for multi-robot systems,
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Non-Overlap-Aware Egocentric Pose Estimation for Collaborative Perception in Connected Autonomy
NOPE combines deep graph matching for overlap detection with cross-attention graph learning for egocentric pose estimation, reporting state-of-the-art results on simulation and real-world connected driving data with 27 KB shared messages.