A high-definition map creation method implemented by an electronic device, the high-definition map creation method comprising: obtaining point cloud data collected with respect to a target region, the point cloud data comprising K frames of point clouds and an initial pose of each frame of point cloud, K being an integer greater than 1; associating the K frames of point clouds with each other in accordance with the initial pose, so as to obtain a first point cloud relation graph of the K frames of point clouds; performing point cloud registration on the K frames of point clouds in accordance with the first point cloud relation graph and the initial pose, so as to obtain a target relative pose of each frame of point cloud in the K frames of point clouds; and splicing the K frames of point clouds in accordance with the target relative pose, so as to obtain a point cloud map of the target region, wherein the associating the K frames of point clouds with each other in accordance with the initial pose so as to obtain the first point cloud relation graph of the K frames of point clouds comprises: dividing the K frames of point clouds into M blocks in accordance with the initial pose, adjacent blocks comprising at least one same frame of point cloud, M being a positive integer; associating the frames of point clouds in each block with each other, so as to obtain a second point cloud relation graph of the block; and associating the M second point cloud relation graphs of the M blocks with each other in accordance with the at least one same frame of point cloud, so as to obtain the first point cloud relation graph. obtaining point cloud data collected with respect to a target region, the point cloud data comprising K frames of point clouds and an initial pose of each frame of point cloud, K being an integer greater than 1; associating the K frames of point clouds with each other in accordance with the initial pose, so as to obtain a first point cloud relation graph of the K frames of point clouds; performing point cloud registration on the K frames of point clouds in accordance with the first point cloud relation graph and the initial pose, so as to obtain a target relative pose of each frame of point cloud in the K frames of point clouds; and splicing the K frames of point clouds in accordance with the target relative pose, so as to obtain a point cloud map of the target region, wherein the associating the K frames of point clouds with each other in accordance with the initial pose so as to obtain the first point cloud relation graph of the K frames of point clouds comprises: dividing the K frames of point clouds into M blocks in accordance with the initial pose, adjacent blocks comprising at least one same frame of point cloud, M being a positive integer; associating the frames of point clouds in each block with each other, so as to obtain a second point cloud relation graph of the block; and associating the M second point cloud relation graphs of the M blocks with each other in accordance with the at least one same frame of point cloud, so as to obtain the first point cloud relation graph. dividing the K frames of point clouds into M blocks in accordance with the initial pose, adjacent blocks comprising at least one same frame of point cloud, M being a positive integer; associating the frames of point clouds in each block with each other, so as to obtain a second point cloud relation graph of the block; and associating the M second point cloud relation graphs of the M blocks with each other in accordance with the at least one same frame of point cloud, so as to obtain the first point cloud relation graph.