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i have used gmapping for SLAM for one robot. do you have any idea how to build a global map in which both robots will be localized and merge their local maps. is their any algorithem in ros for this?.
You might wanna give the mapstitch package (http:// www.ros.org/wiki/mapstitch) a try.
It uses opencv's estimateRigidTransform method to calculate rotation and translation between two maps. The estimation works best the larger the maps are, that's why mapstitch actually needs three topics of published maps: map, world and align. The map on the align topic will be rotated/translated to the world map and this transformation will be published whenever the map topic gets updated.
We aligned maps after they have been completely build (which was enough in our use case), while replaying the original dataset. It might however also work in a setup with incomplete maps.
You need to test. In principle you publish one robot's map on /world and remap /align to /map for the mapstitch process. Then whenever there are enough ORB feature matches in both maps a tf between both maps will be published, i.e. you localize one robot relative to the other one.
This is a nontrivial topic... The first question would be: what global coordinate system do you have? GPS? Or none at all and you want the robots to localize each other relatively?
That decides a bit in which direction of research you have to look... Anyway I'm not confident that there exists a finished solution in ROS for your problem. An approximate solution could be to just merge the maps into one using GPS... or try to do cross correlation or something to adjust position errors.
Asked: 2013-02-20 00:43:35 -0500
Seen: 582 times
Last updated: Feb 28 '13
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