We review the use of factor graphs for the modeling and solving of large-scale inference problems in robotics. Factor graphs are a family of probabilistic graphical models, other examples of which are Bayesian networks and Markov random fields, well

Factor Graphs for Robot Perception.pdf Factor Graphs for Robot Perception.pdf Factor Graphs for Robot Perception.pdf Factor Graphs for Robot Perception.pdf Factor Graphs for Robot Perception.pdf Factor Graphs for Robot Perception.pdf