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- % Create graph container and add factors to it
- graph = NonlinearFactorGraph;
- % Create keys for variables
- i1 = symbol('x',1); i2 = symbol('x',2); i3 = symbol('x',3);
- j1 = symbol('l',1); j2 = symbol('l',2);
- % Add prior
- priorMean = Pose2(0.0, 0.0, 0.0); % prior at origin
- priorNoise = noiseModel.Diagonal.Sigmas([0.3; 0.3; 0.1]);
- % add directly to graph
- graph.add(PriorFactorPose2(i1, priorMean, priorNoise));
- % Add odometry
- odometry = Pose2(2.0, 0.0, 0.0);
- odometryNoise = noiseModel.Diagonal.Sigmas([0.2; 0.2; 0.1]);
- graph.add(BetweenFactorPose2(i1, i2, odometry, odometryNoise));
- graph.add(BetweenFactorPose2(i2, i3, odometry, odometryNoise));
- % Add bearing/range measurement factors
- degrees = pi/180;
- brNoise = noiseModel.Diagonal.Sigmas([0.1; 0.2]);
- graph.add(BearingRangeFactor2D(i1, j1, Rot2(45*degrees), sqrt(8), brNoise));
- graph.add(BearingRangeFactor2D(i2, j1, Rot2(90*degrees), 2, brNoise));
- graph.add(BearingRangeFactor2D(i3, j2, Rot2(90*degrees), 2, brNoise));
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