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I saw in the paper that the Bayesian filtering method can be used to fuse the two maps. For example, I used a depth camera and a lidar to build their own maps. I don't quite understand how Bayesian filters fuse maps, because I only know that Bayesian filters can be used to estimate the pose of robots.
You can certainly combine maps using Bayes methods if they are transformed into OccupancyGrid maps, here is an example package:
and a paper "Occupancy Grid Map Merging for Multiple Robot Simultaneous Localization and Mapping":
Some software helps with working with different sensor maps, e.g.
Could you please link the paper you read? Then we could maybe help you more.
@ljaniec The article I read is here https://iopscience.iop.org/article/10... chapter 4.3
Asked: 2022-10-29 07:41:36 -0500
Seen: 66 times
Last updated: Oct 29 '22
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