Graph-Based SLAM

A SLAM formulation where robot poses and landmarks are nodes in a graph, and sensor measurements between them are edges with associated constraints. SLAM is solved by optimizing the graph to find the configuration of nodes that best satisfies all constraints. Graph optimization backends include g2o, GTSAM, and iSAM2. Most modern visual and LiDAR SLAM systems use graph-based formulations.