![]() |
Autonomous Robotic Mapping
Does anyone know of any way to create an accurate mapping system for a small area outdoor autonomous robot? I was thinking GPS but they can be off by 3 meters. Then I was thinking some sort of triangulation localization technique but I figured Id put it out there to see if anyone has any ideas.
Thanks, mreda |
Re: Autonomous Robotic Mapping
Perhaps this might be of interest to you https://github.com/JacisNonsense/Pathfinder
|
Re: Autonomous Robotic Mapping
Quote:
|
Re: Autonomous Robotic Mapping
Quote:
Some variables to consider: - You said that 3m is too much error, but what sort of resolution are you looking for? - How large of an area are you dealing with? 10s of meters, 100s of meters, 1000s of meters? - Is it a fixed workspace (i.e. you can set up beacons) or are you moving into an unknown territory? - What's the line-of-sight visibility like? Is it a fairly open space, or are there frequently objects which can occlude the robot's sensors? If there are occluders, are they large and metallic (i.e. would block radio frequencies)? - How much money do you want to spend? If it's an unknown space, you're going to need something like SLAM. There are many prebuilt libraries available for this (check out some of the ones that are available through ROS for example). If you have a workspace that you control, here's a few solutions for several settings of the above parameters: - Use a single camera and use the position and apparent size of a target(s) to determine 3d pose. This is how most FIRST vision systems work, and how the Oculus Rift tracking camera works. For a fairly out-of-the-box solution, take a look at some of the fiducial tracking libraries, such as AprilTags. - Use several different cameras and track a target(s) and triangulate the pose. This is how motion capture cameras work. - Use a Microsoft Kinect or other RGBD camera - One of the magnetic position sensing systems from Sixense - Use one of the UWB (Ultra-wideband radio-frequency) localization systems. I have one of the kits from Decawave sitting on my desk waiting for when I have enough time to play with it more. - Use a differential GPS system. - Place a whole bunch of RFID tags with unique IDs around the space and use an RFID reader to scan the nearest tag to determine your position. - Mount several string pots to your robot and connect the ends to various points around the space and trilaterate your position. As long as your workspace is very open, you have an instant, high accuracy estimate of your robot's position with very little processing required. |
Re: Autonomous Robotic Mapping
Quote:
|
Re: Autonomous Robotic Mapping
Quote:
Thanks |
Re: Autonomous Robotic Mapping
Quote:
|
Re: Autonomous Robotic Mapping
Quote:
|
Re: Autonomous Robotic Mapping
Quote:
Another method I've heard used is to point a camera at the ceiling and use identifiable features on the ceiling to localize. QR codes on the ceiling would make that even easier. |
Re: Autonomous Robotic Mapping
Quote:
|
Re: Autonomous Robotic Mapping
Quote:
|
Re: Autonomous Robotic Mapping
Quote:
|
Re: Autonomous Robotic Mapping
Quote:
I think your best bet might be to place visible beacons in known locations around the area, with a 360 degree camera view tracking the direction to each beacon in order to do inverse triangulation. |
Re: Autonomous Robotic Mapping
|
Re: Autonomous Robotic Mapping
Quote:
|
| All times are GMT -5. The time now is 09:21. |
Powered by vBulletin® Version 3.6.4
Copyright ©2000 - 2017, Jelsoft Enterprises Ltd.
Copyright © Chief Delphi