Skip to content

elliotjo/mapviz

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

45 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

mapviz

Mapviz is a ROS based visualization tool with a plug-in system similar to RVIZ focused on visualizing 2D data.

Mapviz currently depends on the marti_common, marti_messages, and lapackpp repositories for some utility functions and message definitions.

Mapviz should be compatible with Ubuntu 12.04 through Ubuntu 14.04 and ROS Fuerte, Groovy, Hydro, and Indigo. The master branch uses the rosbuild make system and the catkin branch uses catkin.

Installing ROS Fuerte, Groovy, Hydro, or Indigo

Additional Ubuntu dependencies beyond ROS base for mapviz:

$ sudo apt-get install ros-XXXX-tf ros-XXXX-common-msgs ros-XXXX-plugin-lib ros-XXXX-gps-umd \
    ros-XXXX-nodelet ros-XXXX-cv-bridge ros-XXXX-image-geometry ros-XXXX-angles \
    ros-XXXX-camera-calibration-parsers ros-XXXX-image-transport

$ sudo apt-get install yaml-cpp libboost-random-dev libblas-dev liblapack-dev libproj-dev \
    libglew-dev freeglut3-dev libxmu-dev libgeos++-dev qt4-dev-tools

Plug-ins

Disparity

Overlays a sensor_msgs::DisparityImage onto the display using the ''jet'' color map.

Parameters

  • Topic: The disparity topic name
  • Anchor: (top left | top center | top right | center left | center | center right | bottom left | bottom center | bottom right)
  • Offset X: Display offset from the left
  • Offset Y: Display offset from the top
  • Width: Display width
  • Height: Display height
  • Units: (pixels | percent of window)

Grid

Projects a 2D grid into the scene.

Parameters

  • Frame: Coordinate frame of the grid
  • Color: Color of the grid
  • Alpha: Alpha transparency of the grid
  • X: X offset of the grid from the specified coordinate frame origin
  • Y: Y offset of the grid from the specified coordinate frame origin
  • Size: Size of each grid cell
  • Rows: Number of grid rows
  • Columns: Number of grid columns

Image

Overlays a sensor_msgs::Image onto the display.

Parameters

  • Topic: The image topic name
  • Anchor: (top left | top center | top right | center left | center | center right | bottom left | bottom center | bottom right)
  • Offset X: Display offset from the left
  • Offset Y: Display offset from the top
  • Width: Display width
  • Height: Display height
  • Units: (pixels | percent of window)

Marker

Projects a visualization_msgs::Marker or visualization_msgs::MarkerArray into the scene.

Markers are the most flexible display type and more or less mirror the OpenGL primitives.

Parameters

  • Topic: The marker topic

Multi-res Image

Projects a geo-referenced multi-resolution image tile map into the scene. The concept is the same as the Google Maps style pan/zoom satellite imagery.

Parameters

  • Geo File: Path to the geo-referenced map tiles.

A custom format is currently used to store the map tiles and geo-reference. The geo-file has the following format:

image_path: "."        # The relative path to the map tiles
image_width: 29184     # The full pixel width of the map
image_height: 15872    # The full pixel height of the map
tile_size: 512         # The pixel size of the individual tiles

datum: "wgs84"         # Datum is currently ignored
projection: "utm"      # (utm|wgs84)

                       # At least 2 tie points are required for 
                       # scale, and 3 for orientation.
tiepoints:             #   [pixel x, pixel y, geo x, geo y]
 - point: [4799, 209, 535674.5, 3258382.5]
 - point: [2336, 15596, 535329.5, 3256198.5]
 - point: [26925, 15457, 538837.5, 3256233.5]
 - point: [29133, 84, 539142.5, 3258416.5]

The map tiles are stored in directories for each resolution starting with layer0, the full resolution. In subsequent layers the resolution is halved until the entire map fits within a single tile.

Tiles are named using the following format:

tile%05dx%05d.png % (row, column)

Odometry

Projects nav_msgs::Odometry message data into the scene.

Parameters

  • Topic: The odometry topic
  • Color: The color of the odometry data
  • Draw Style: (lines | points | arrows)
  • Show Covariance: Draw covariance ellipse around latest data
  • Position Tolerance: Distance threshold for adding new odometry points to visualization
  • Buffer Size: Size of circular buffer of odometry points

Path

Projects nav_msgs::Path message data into the scene.

Parameters

  • Topic: The path topic

Robot Image

Projects an image loaded from file into the scene to represent the robot platform.

Parameters

  • Image File: Path to the image file
  • Frame: Frame to tie the image to
  • Width: The physical width represented by the image
  • Height: The physical height represented by the image

Textured Marker

Projects marti_visualization_msgs::TexturedMarker and marti_visualization_msgs::TexturedMarkerArray message data into the scene.

Textured markers follow the same general approach as traditional markers, but can be used to texture dense image data onto a quad which is projected into the scene.

Parameters

  • Topic: The textured marker topic

Tile Map

Projects a geo-referenced multi-resolution image tile map into the scene. Data is automatically streamed from OpenMapQuest (satellite and roads) or [Stamen Design] (http://maps.stamen.com/) (terrain, watercolor, and toner). Custom or local map servers can also be specified. Map data is cached to disk which enables some limited use completely offline.

Parameters

  • Source: The source of the tile data.

TF Frame

Projects Tf data into the scene similar to the Odometry plug-in.

Parameters

  • Frame: The Tf frame
  • Color: The color of the Tf data
  • Draw Style: (lines | points | arrows)
  • Position Tolerance: Distance threshold for adding new Tf points to visualization
  • Buffer Size: Size of circular buffer of Tf points

About

Modular ROS visualization tool for 2D data.

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • C++ 97.6%
  • CMake 2.3%
  • Other 0.1%