A graph neural network with staged lane-then-point goal selection cuts the cross-dataset error drop (e.g., b-minFDE6 relative drop 8% vs 20-30%) when moving from Argoverse2 to NuScenes.
Query-centric trajectory prediction,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Goal-based Trajectory Prediction for improved Cross-Dataset Generalization
A graph neural network with staged lane-then-point goal selection cuts the cross-dataset error drop (e.g., b-minFDE6 relative drop 8% vs 20-30%) when moving from Argoverse2 to NuScenes.