Functions | Variables
gtsam.examples.Pose2SLAMExample_lago Namespace Reference

Functions

None run (Namespace args)
 

Variables

 args = parser.parse_args()
 
 help
 
 parser
 

Detailed Description

GTSAM Copyright 2010, 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

A 2D Pose SLAM example that reads input from g2o, and solve the Pose2 problem
using LAGO (Linear Approximation for Graph Optimization).
Output is written to a file, in g2o format

Reference:
L. Carlone, R. Aragues, J. Castellanos, and B. Bona, A fast and accurate
approximation for planar pose graph optimization, IJRR, 2014.

L. Carlone, R. Aragues, J.A. Castellanos, and B. Bona, A linear approximation
for graph-based simultaneous localization and mapping, RSS, 2011.

Author: Luca Carlone (C++), John Lambert (Python)

Function Documentation

◆ run()

None gtsam.examples.Pose2SLAMExample_lago.run ( Namespace  args)
Run LAGO on input data stored in g2o file.

Definition at line 31 of file Pose2SLAMExample_lago.py.

Variable Documentation

◆ args

gtsam.examples.Pose2SLAMExample_lago.args = parser.parse_args()

Definition at line 66 of file Pose2SLAMExample_lago.py.

◆ help

gtsam.examples.Pose2SLAMExample_lago.help

Definition at line 64 of file Pose2SLAMExample_lago.py.

◆ parser

gtsam.examples.Pose2SLAMExample_lago.parser
Initial value:
1 = argparse.ArgumentParser(
2  description="A 2D Pose SLAM example that reads input from g2o, "
3  "converts it to a factor graph and does the optimization. "
4  "Output is written on a file, in g2o format"
5  )

Definition at line 59 of file Pose2SLAMExample_lago.py.



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autogenerated on Fri Nov 1 2024 03:52:55