| ROS Resources: Documentation | Support | Discussion Forum | Index | Service Status | ros @ Robotics Stack Exchange |
What is the best way to use multiple laser scanners on a robot? Currently I have two hokuyo scanners, one facing forward, and one facing backwards. I'd like to do slam as efficiently as possible using data from both scanners.
I don't believe the current slam-gmapping implementation in ROS directly supports laser scans coming from lasers with different frames.
A quick solution: You could try to combine your two 180-deg lasers scans into one 360-deg laser scan. Compute the x-y coordinates from both the laser scans, then calculate the distance from each beam endpoint to a virtual laser scanner, and output the result as a LaserScan.
This would work best if you align your sensors well, ie, exactly 180 degrees apart from each other. Also, try to get the optical centers of the lasers as close as possible. The laser scan structure assumes the angular gap between two scan beams is constant, so hacking two laser scans into one might introduce some distortions in the data. Nevertheless, it will probably be minimal, if you are careful with the settings of your scanners.
Now, for a more correct solution: slam-gmapping (as well as other laser tools, such as canonical_scan_matcher) don't algorithmically require that the input data is in polar coordinates. In fact, they take the (r, theta) readings from the laser, and covert them to (x, y) coordinates internally. What would be best is to rewrite the wrappers to accept (x, y) coordinates directly. Then, you would be able to combine any number of laser scans, regardless of their physical configuration. All you would have to do is convert the LaserScans to PointClouds, and then merge the PointClouds together. You would also be able to use non-laser sources of data (like the Kinect) without having to go through a clunky PointCloud-To-LaserScan conversion.
What is the latest regarding this? Is there really no established way to use more than one laser scanner together with gmapping? There definitely seems to be a demand for this functionality (several people asking independently on ROS answers, including myself).
"@Brian Gerkey": Considering move_base (which I use in conjunction with gmapping) can handle multiple laser scanners for building its costmaps, it would great if gmapping also could be configured to use more than one laser scanner.
have you managed to do a SLAM with 2 lasers? I've got a Pioneer p3-dx robot, with 2 LMS100 lasers facing back-to-back.. I'd like to do the mapping with them (slam) but no luck so far in connecting the two lasers into one "dummy laser". any help? thanks
Hi,
I want to do the same thing that you propose, in fact I have 3 laser sensor and I want to combine their data, so I would like to change "slam_gmapping" to accepet "point_cloud", I wanted to know before embarking on, did you managed to get some results ?
I work on the control of a wheelchair at the Polytechnic of Montreal, and I have already managed to build a map from a laser sensor.
Thank you,
Hello all, I also have the same problem. Any luck so far? I found the mailing list thread, but it seems inactive. As long as I couldn't found any solution, I'll try on my own and keep you posted. Comments are welcome.
Last version of slam_gmapping can manage laser scans from different sensors. You just have to publish both laserscans into the same topic. Gmapping handles transformations on its own.
I have used a modified version of stage simulator for ros (from Gonçalo Cabrita) and gmapping to test it. Gmapping maps are built using both simulated lasers, so I guess it is ok.
I did this for a class project. Gmapping won't in fact accept the data from both. It will latch onto the transform used in the first scan it receives, and then will only accept data from the same transform.
iralabdisco's ira_laser_tools provides a laserscan merger which does what you want.
It is based on converting the scans to pointcloud and merging the pointcloud
Asked: 2011-03-05 05:32:29 -0600
Seen: 7,536 times
Last updated: Mar 11 '20
ROS Answers is licensed under Creative Commons Attribution 3.0 Content on this site is licensed under a Creative Commons Attribution Share Alike 3.0 license.
