G2O (General Graph Optimization)

G2O (General Graph Optimization) is a computational method used to improve the accuracy of complex systems by optimizing connections between various data points. It models the problem as a graph, where nodes represent different variables or states, and edges represent the relationships or constraints between them. By adjusting the nodes to best fit all the constraints simultaneously, G2O refines the overall solution, making it more consistent and reliable. This approach is widely used in fields like robotics, computer vision, and navigation to achieve precise results from noisy or incomplete data.