You also won’t be able to use it with robots running ROS these bits of software simply don’t work together. A very fast Nvidia GPU and a fast CPU are required for good results. If you’re thinking about using a Raspberry Pi to take Kintinuous on the road, you might want to look at the hardware requirements. So far, this is the only software stack that does it on a large scale If there’s a future in virtual reality, we’re need a way to capture real life and make it digital. With the introduction of the Oculus Rift, inhabiting these virtual scanned spaces became even cooler. We’ve seen Kintinuous a few times before – first in 2012 where the possibilities for mapping large areas with a Kinect were shown off, then an improvement that mapped a 300 meter long path though a building. Now, the source for this technology, Kintinuous and ElasticFusion, are available on Github, free for everyone to (non-commercially) use. This is the future of VR, but a proper distribution has been held up by licenses and a general IP rights rigamarole. A few years ago, and many times since then, we’ve seen a bit of research that turned a Kinect into a 3D mapping camera for extremely large areas.
While this is great for post-docs and their grant-writing abilities, it’s not the best system for people who want to use this technology.
Almost by definition, the coolest technology and bleeding-edge research is locked away in universities.
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