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