G2O solver

G2O (General Graph Optimization) is a software framework used to solve complex problems involving many variables and relationships, such as mapping a robot’s position or reconstructing 3D scenes. It models these problems as graphs, with nodes representing unknowns (like positions) and edges representing constraints or measurements. Using advanced mathematical algorithms, G2O adjusts the nodes to find the most consistent solution that best fits all the measurements simultaneously. This process helps improve accuracy and consistency in applications like robotics, computer vision, and autonomous navigation by efficiently optimizing these interconnected data points.