| CPC G06V 10/82 (2022.01) [G01S 7/4808 (2013.01); G06T 3/06 (2024.01); G06V 10/764 (2022.01); G06V 10/776 (2022.01); G06V 20/10 (2022.01); G06V 20/41 (2022.01); G06V 20/56 (2022.01); G06V 20/64 (2022.01); G01S 17/89 (2013.01)] | 20 Claims |

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1. A computer-implemented method of semantic segmentation, the method comprising:
obtaining sensor data comprising three-dimensional data associated with an environment;
determining data indicative of a two-dimensional voxel representation associated with the environment based at least in part on the three-dimensional data and a voxel grid, wherein the two-dimensional voxel representation is associated with one or more voxels;
determining a voxel classification for respective voxels of the one or more voxels associated with the two-dimensional voxel representation, based at least in part on the two-dimensional voxel representation; and
determining a classification for respective points of a plurality of points within the three-dimensional data based at least in part on the voxel classification for the respective voxels.
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