CorrelationFlow: A Training-Free Geometric Approach for LiDAR Scene Flow Estimation
CorrelationFlow estimates LiDAR scene flow, which is motion between sequential point clouds, without needing training data or learning parameters. It reformulates the problem as maximizing correlations between bird's-eye-view images using classical image processing. This training-free method achieved second place in a major challenge, proving that simple geometric operations can outperform learned methods for autonomous driving tasks.