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

VersaVIS

VersaVIS provides a complete, open-source hardware, firmware and software bundle to perform time synchronization of multiple cameras with an IMU featuring exposure compensation, host clock translation and independent and stereo camera triggering.

It enables visual-inertial mapping using your own custom setup of cameras and IMU by triggering and time synchronization all sensors. Please follow the instructions on the GitHub page or refer to the paper.

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Intel RealSense ZR300