Difference between revisions of "Hokuyo URG-04LX-UG01"

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==Use the Lidar with [[Robot Operating System|ROS]]==[[File:lidar1.JPG |frame]]
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==Use the Lidar with [[Robot Operating System|ROS]]==[[File:lidar1.JPG |thumb | 400px]]
   
 
A dedicated ROS node exists. To use it, a tutorial is available on ROS [http://www.ros.org/wiki/hokuyo_node/Tutorials/UsingTheHokuyoNode website]. If you are using ROS on a recent environment (Ubuntu version >= 12.10 & ROS version >= Groovy) some changes have to be made.
 
A dedicated ROS node exists. To use it, a tutorial is available on ROS [http://www.ros.org/wiki/hokuyo_node/Tutorials/UsingTheHokuyoNode website]. If you are using ROS on a recent environment (Ubuntu version >= 12.10 & ROS version >= Groovy) some changes have to be made.

Revision as of 07:17, 11 April 2013

Hokuyo URG-04LX-UG01 installed on the WifiBot

LIDaR (LIght Detection and Ranging or Laser Imaging Detection and Ranging) is an optical remote sensing technology that can measure the distance to, or other properties of, targets by illuminating the target with laser light and analyzing the backscattered light. [Wikipédia]

http://www.robotshop.com/eu/capteur-distance-laser-urg-04lx-ug01-hokuyo-eu-2.html

http://www.hokuyo-aut.jp/02sensor/07scanner/urg_04lx_ug01.html

Hokuyo URG Programming Ressources http://www.hokuyo-aut.jp/02sensor/07scanner/download/urg_programs_en/


==Use the Lidar with ROS==

Lidar1.JPG

A dedicated ROS node exists. To use it, a tutorial is available on ROS website. If you are using ROS on a recent environment (Ubuntu version >= 12.10 & ROS version >= Groovy) some changes have to be made.

  • For the installation, point 1.1 of the tutorial. You get the hokuyo_node package by the command: sudo apt-get install ros-groovy-laser-drivers
  • For viewing the data, point 1.7 of the tutorial. You monitor the data into the rviz tool with these commands: rosrun rviz rviz -l then, add a new LaserScan Interface and fill the following informations :

Fixed frame: /laser
Target frame: /laser
Topic: /scan

Now you can see

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