SSF applies sparse 3D convolutions and virtual voxel fusion to estimate scene flow at up to 204.8 m range with lower memory than dense BEV methods.
Scalable scene flow from point clouds in the real world,
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SSF: Sparse Long-Range Scene Flow for Autonomous Driving
SSF applies sparse 3D convolutions and virtual voxel fusion to estimate scene flow at up to 204.8 m range with lower memory than dense BEV methods.