Scalable graph SLAM for HD maps
Abstract:
A method of solving a graph simultaneous localization and mapping (graph SLAM) for HD maps using a computing system includes partitioning a graph into a plurality of subgraphs, each of the subgraphs having all of the vertices of the graph and a subset of the edges of the graph. Constrained and non-constrained vertices are defined for the subgraphs. An alternating direction method of multipliers (ADMM) formulation for Graph SLAM is defined using the partitioned graph. A distributed Graph SLAM algorithm is then defined in terms of the constrained and non-constrained vertices based on the ADMM formulation. The distributed Graph SLAM algorithm is then used to solve the Graph SLAM problem for HD maps.
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