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SLAM localizing methods based on camera?

asked 2018-03-05 09:47:16 -0500

HaroldVD gravatar image

updated 2018-03-05 07:57:25 -0500

Are there any SLAM methods that can create a map from the camera output based on colors in ROS? Im working on a project where I can only get an absolute position by using lines that are drawn on the floor, just like a football field.

Most SLAM methods Ive seen like this one: rely a lot on depth-perception. I am just wondering which slam methods can detect (big & long) lines on the floor. I cant rely on walls or objects being detected mostly because the robot sometimes has to navigate in huge halls where the walls are really far away.

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answered 2018-03-05 16:31:00 -0500

Gayan Brahmanage gravatar image

You are not able to apply Gmapping directly for this application because it does not give a promising result when enough features are not available in the sensor field of view. RGB-D SLAM also will not work as you have repetitive patterns on your RGB images.

I think your problem seems easy than general SLAM problem. You can extract those line segments using a line detector from RGB image. Then use ICP algorithm to align those frames.

If you need a more robust result, you can use the same method with Rao-Blackwellized particle filter that is used in Gmapping. But you need an accurate data association strategy to work with RBPF.

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Asked: 2018-03-05 07:55:56 -0500

Seen: 219 times

Last updated: Mar 05 '18