Variables | |
graph = gtsam.NonlinearFactorGraph() | |
initial_estimate = gtsam.Values() | |
L1 = L(4) | |
L2 = L(5) | |
marginals = gtsam.Marginals(graph, result) | |
MEASUREMENT_NOISE = gtsam.noiseModel.Diagonal.Sigmas(np.array([0.1, 0.2])) | |
ODOMETRY_NOISE = gtsam.noiseModel.Diagonal.Sigmas(np.array([0.2, 0.2, 0.1])) | |
optimizer = gtsam.LevenbergMarquardtOptimizer(graph, initial_estimate, params) | |
params = gtsam.LevenbergMarquardtParams() | |
PRIOR_NOISE = gtsam.noiseModel.Diagonal.Sigmas(np.array([0.3, 0.3, 0.1])) | |
result = optimizer.optimize() | |
X1 = X(1) | |
X2 = X(2) | |
X3 = X(3) | |
GTSAM Copyright 2010-2018, Georgia Tech Research Corporation, Atlanta, Georgia 30332-0415 All Rights Reserved Authors: Frank Dellaert, et al. (see THANKS for the full author list) See LICENSE for the license information Simple robotics example using odometry measurements and bearing-range (laser) measurements Author: Alex Cunningham (C++), Kevin Deng & Frank Dellaert (Python)
gtsam.examples.PlanarSLAMExample.graph = gtsam.NonlinearFactorGraph() |
Definition at line 27 of file PlanarSLAMExample.py.
gtsam.examples.PlanarSLAMExample.initial_estimate = gtsam.Values() |
Definition at line 57 of file PlanarSLAMExample.py.
gtsam.examples.PlanarSLAMExample.L1 = L(4) |
Definition at line 33 of file PlanarSLAMExample.py.
gtsam.examples.PlanarSLAMExample.L2 = L(5) |
Definition at line 34 of file PlanarSLAMExample.py.
gtsam.examples.PlanarSLAMExample.marginals = gtsam.Marginals(graph, result) |
Definition at line 79 of file PlanarSLAMExample.py.
gtsam.examples.PlanarSLAMExample.MEASUREMENT_NOISE = gtsam.noiseModel.Diagonal.Sigmas(np.array([0.1, 0.2])) |
Definition at line 24 of file PlanarSLAMExample.py.
gtsam.examples.PlanarSLAMExample.ODOMETRY_NOISE = gtsam.noiseModel.Diagonal.Sigmas(np.array([0.2, 0.2, 0.1])) |
Definition at line 23 of file PlanarSLAMExample.py.
gtsam.examples.PlanarSLAMExample.optimizer = gtsam.LevenbergMarquardtOptimizer(graph, initial_estimate, params) |
Definition at line 74 of file PlanarSLAMExample.py.
gtsam.examples.PlanarSLAMExample.params = gtsam.LevenbergMarquardtParams() |
Definition at line 73 of file PlanarSLAMExample.py.
gtsam.examples.PlanarSLAMExample.PRIOR_NOISE = gtsam.noiseModel.Diagonal.Sigmas(np.array([0.3, 0.3, 0.1])) |
Definition at line 22 of file PlanarSLAMExample.py.
gtsam.examples.PlanarSLAMExample.result = optimizer.optimize() |
Definition at line 75 of file PlanarSLAMExample.py.
gtsam.examples.PlanarSLAMExample.X1 = X(1) |
Definition at line 30 of file PlanarSLAMExample.py.
gtsam.examples.PlanarSLAMExample.X2 = X(2) |
Definition at line 31 of file PlanarSLAMExample.py.
gtsam.examples.PlanarSLAMExample.X3 = X(3) |
Definition at line 32 of file PlanarSLAMExample.py.