Abstract: The present disclosure discloses a method and an apparatus for point cloud registration. The method includes: segmenting a source point cloud and a destination point cloud respectively into different categories of attribute features based on semantic; segmenting the source point cloud and the destination point cloud into a plurality of grids based on the attribute features; calculating a current similarity between the source point cloud and the destination point cloud based on the plurality of grids; determining whether the current similarity and a current iterative number satisfy a preset condition; when the current similarity and the current iterative number satisfy the preset condition, performing a registration on the source point cloud and the destination point cloud to obtain a registered result; and based on the registered result, adjusting a position of the source point cloud, updating the current iterative number.

Abstract: Example embodiments of the present disclosure provide a map updating method and apparatus, a device and a computer-readable storage medium, which may be applied to a field of autonomous driving. The map updating method includes determining that there is an interruption on a road edge of a road on a map, the road edge representing a boundary of a part of the road available for vehicles. The method further includes determining, based on the map, a reference distance between an existing part of the road edge and a division line, the existing part being within a predetermined distance from the interruption, and the division line representing a division between different traveling directions of the road. The method further includes generating a supplementary part for the interruption on the map based on the reference distance and the division line.

Abstract: The present disclosure discloses a method and an apparatus for point cloud registration. The method includes: segmenting a source point cloud and a destination point cloud respectively into different categories of attribute features based on semantic; segmenting the source point cloud and the destination point cloud into a plurality of grids based on the attribute features; calculating a current similarity between the source point cloud and the destination point cloud based on the plurality of grids; determining whether the current similarity and a current iterative number satisfy a preset condition; when the current similarity and the current iterative number satisfy the preset condition, performing a registration on the source point cloud and the destination point cloud to obtain a registered result; and based on the registered result, adjusting a position of the source point cloud, updating the current iterative number.