February 20, 2007, 9:30 pm
I ran across this site while doing research for a different post. For =
those that are interested in computer vision, localization & mapping:
http://openslam.org/
Here's an excerpt to whet the whistle:
SLAM is the abbreviation for Simultaneous Localization And Mapping.
Mapping is the problem of integrating the information gathered with the =
robot's sensors into a given representation. It can be described by the =
question ``What does the world look like?'' Central aspects in mapping =
are the representation of the environment and the interpretation of =
sensor data. ... ( more found on the web site mentioned above ... )
JCD
those that are interested in computer vision, localization & mapping:
http://openslam.org/
Here's an excerpt to whet the whistle:
SLAM is the abbreviation for Simultaneous Localization And Mapping.
Mapping is the problem of integrating the information gathered with the =
robot's sensors into a given representation. It can be described by the =
question ``What does the world look like?'' Central aspects in mapping =
are the representation of the environment and the interpretation of =
sensor data. ... ( more found on the web site mentioned above ... )
JCD
Re: OpenSLAM
Right. Now this is the kind of stuff hobbyist robotics people
need to be paying attention to. Instead of trying to use 1980s
sonar technology, low end BASIC STAMPS, and bumpers, it's time
to be using algorithms like this. Because the hardware isn't a
problem any more. You can get cheap cameras. You can put enough
computer power on board. You can get inertial units. It's actually
possible to do this stuff cheaply now.
Yes, the math is hard. But more people are figuring it out,
and there's more software available. And this stuff actually works
now. After decades of vision-based algorithms that don't work, we finally
have ones that do.
John Nagle
Animats
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