Fusion SLAM
Home
  • OVERVIEW AND INTRODUCTION
  • INSTALLING
  • DATASETS
  • TUTORIALS FOR ROVIOLI (ONLINE FRONTEND)
  • TUTORIALS FOR USING MAPLAB (OFFLINE TOOLS) - BASICS
  • TUTORIALS FOR USING MAPLAB (OFFLINE TOOLS) - USE-CASES
  • TUTORIALS FOR USING MAPLAB SERVER (ONLINE)
  • HARDWARE INTEGRATION AND SENSOR CALIBRATION
  • TUTORIALS FOR EXTENDING MAPLAB
  • DEVELOPEMENT GUIDELINES
  • ADDITIONAL FORMATS
Project
  • 简体中文
  • English
Home
  • OVERVIEW AND INTRODUCTION
  • INSTALLING
  • DATASETS
  • TUTORIALS FOR ROVIOLI (ONLINE FRONTEND)
  • TUTORIALS FOR USING MAPLAB (OFFLINE TOOLS) - BASICS
  • TUTORIALS FOR USING MAPLAB (OFFLINE TOOLS) - USE-CASES
  • TUTORIALS FOR USING MAPLAB SERVER (ONLINE)
  • HARDWARE INTEGRATION AND SENSOR CALIBRATION
  • TUTORIALS FOR EXTENDING MAPLAB
  • DEVELOPEMENT GUIDELINES
  • ADDITIONAL FORMATS
Project
  • 简体中文
  • English
  • OVERVIEW AND INTRODUCTION

    • Introduction to the Maplab Framework
    • Main Papers
    • Additional Citations
    • Related Research
    • FAQ
    • Known Issues
  • INSTALLING

    • Installing on Ubuntu
    • Compilation and Debugging
  • DATASETS
  • TUTORIALS FOR ROVIOLI (ONLINE FRONTEND)

    • ROVIOLI Introduction
    • Running ROVIOLI in VIO mode: calibartion files, rostopics, bag/topic mode, visualization
    • Running ROVIOLI in Localization mode
    • Multi-session mapping with ROVIOLI
  • TUTORIALS FOR USING MAPLAB (OFFLINE TOOLS) - BASICS

    • Basic Console Usage
    • Parameters (Gflags)
    • Console map management: load, save, basic visualization
    • Inspecting and visualizing a map
    • Map visualization: see your map in RViz!
    • Preparing a single session map: optimization, loop-closure
    • Understanding loop-closure
    • Optimizing VI-Maps
    • Preparing a multi-session map: map anchoring, loop-closure, pose-graph relaxation
    • Dense Reconstruction: attaching resources to map, available reconstruction tools
    • Resource Importer
  • TUTORIALS FOR USING MAPLAB (OFFLINE TOOLS) - USE-CASES

    • Multi-session use case: CLA, multi-floor use-case
    • Map sparsification: make your mapping more efficient
    • Stereo Dense Reconstruction: EuRoC, multi-session reconstruction use-case
    • External Features
  • TUTORIALS FOR USING MAPLAB SERVER (ONLINE)
  • HARDWARE INTEGRATION AND SENSOR CALIBRATION

    • Sensor Calibration Format: ncamera, imu-sigmas
    • Initial sensor calibration with Kalibr
    • Sensor calibration refinement
    • Intel RealSense ZR300
    • VersaVIS
  • TUTORIALS FOR EXTENDING MAPLAB

    • Using the MapManager
    • Using Timing and Statistics
    • /maplab/docs/pages/tutorials-extending-maplab/C_Coding-Examples:-Creating-a-custom-console-plugin.html
    • /maplab/docs/pages/tutorials-extending-maplab/D_Coding-Examples:-Working-with-the-VI-Map.html
    • Console Plugin System
  • DEVELOPEMENT GUIDELINES

    • Importing maplab to Eclipse
    • Contributing to maplab
    • Header Include Guide
    • Debugging applications
    • Expressing frame transformations in code
    • Verbosity Policy
  • ADDITIONAL FORMATS

Initial sensor calibration with Kalibr

Kalibr can be used to get ncamera calibration file necessary for maplab and ROVIOLI.

  1. Create a new catkin workspace, clone and build Kalibr using the installation instructions from the Kalibr wiki.
  2. Calibrate your sensor and obtain a Kalibr camchain yaml file. Check with the Kalibr wiki on how to do that. The relevant tutorials for a VI sensor: [1] camera calibration, [2] camera-IMU calibration
  3. Convert the Kalibr output into the maplab format. Run the following command:
rosrun kalibr kalibr_maplab_config --to-ncamera \
    --label <your_label> \
    --cam <your_cam_chain_yaml>

where <your_label> is an arbitrary string to identify your ncamera setup and <your_cam_chain_yaml> refers to the file you receive from Kalibr in step 2.

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Sensor Calibration Format: ncamera, imu-sigmas
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Sensor calibration refinement