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The codes of the paper The Mobile Robot SLAM Simulation with Multi Measurement Update

MATLAB 100.00%

islam_simulation's Introduction

islam_simulation

The codes of the paper The Mobile Robot SLAM Simulation with Multi Measurement Update.

If the paper is useful for you, please cite it.

@article{许亚芳2015基于多次测量更新的移动机器人SLAM仿真,
  title =   {基于多次测量更新的移动机器人SLAM仿真},
  author =  {许亚芳 and 孙作雷 and 曾连荪 and 张波},
  journal = {系统仿真学报},
  year =    {2015}
}

About the project

Run the script "run.m", and you can see the demo of EKF-SLAM or IEKF-SLAM by setting the switches. Also, you can change the configurations and other switches in "run.m" to get different results.

Note:

Before run the script "run.m", you should set the path by hand. In the Matlab menu, just click Home->Set path->Add folder, and select the path of the file "IEKF and EKF Feature-based SLAM".

The following files mean :

Data

Data about the robot surroundings and experiments.

  • rollerCoaster.mat : waypoints and landmarks.
  • xTrue.mat : ground truth.
  • idList.mat : corresponding list.
  • ekfdata.mat : experimental data of EKF-SLAM.
  • iekfdata.mat : experimental data of IEKF-SLAM.

Filter

It contains the filter codes for SLAM execution.

  • main.m : main loop of feature-based SLAM.
  • predictEKF.m : predict step of EKF and IEKF SLAM.
  • updateEKF.m : update step of EKF-SLAM.
  • updateIEKF.m and iterate.m : update step of IEKF-SLAM.
  • augmentState.m : augment step, that is add new features to the map.

Models

It contains all the models of filter.

  • conNoise.m : add random noise to control vector.
  • vehicleModel.m : generate ground truth and include motion model.
  • obsModel.m : observation model.

Utilities

Tools for SLAM Demo.

  • compound.m : complete the estimating uncertain spatial relationships in robotics.
  • corresponding.m : classify features with known corresponding.
  • dataStore.m : store online data.
  • piTopi.m : make sure the angle is in [-pi, pi].

Visualization

Functions for animation.

  • vis.m : the main function for animation.
  • getLandmark.m : get the landmarks within robot's laser range.
  • getSigmaEllipse.m : for drawing the sigma ellipse which represents the uncertainty.
  • makeFcov.m : make features' covariance ecllipse.
  • makeLines.m : make sets of line segments for laser range-bearing measurements.

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