This new companion computer from Volta costs just $299 but brings a huge amount of power to Pixhawk-based drones. It's designed to compete with the DJI Manifold at a lower price, and it's open source. OpenCV-based computer vision, streaming HD video, 4G wireless and a 30-second installation with Pixhawk. Impressive!
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Silvio,
Nice work on advancing the companion computer integration (and 4G communication!). We are counting on you. :)
Total hardware cost will be around $100.- You can buy even a nice case as well.
@ http://www.hardkernel.com/main/products/prdt_info.php
Imagine the setup complexity for all software on Volta, this will take additional cost.
But, I hope Vota to shrink the gap significantly :-)
If the later odroids adopt a kickass GPU, it will be super impressive. Most people (me included) who want a companion computer want to experiment with caffe/object ID, SLAM, 3D. I find the TK1 super useful, but the form factor of the Odroid is better.
Better still would be something life the 3DR solo companion computer with added mini pcie slot & HDMI -in.
@Aldo, but it has a cool looking case.
Is this not just an odroid XU-4??
I have one and I payed 80 usd for it... http://www.hardkernel.com/main/products/prdt_info.php?g_code=G14345...
Ouch, a fan ? Never ever ever use a fan in a small and dense product with LTE or other radios.
Come on, this is on board of a plane/multirotor, a simple heatsink should be enough given the airspeed that flows in the structures !
The DJI Manifold will run accelerated deep learning. But will the Volta ?
The DJI Manifold runs a tweaked version of Ubuntu and has a GPU supported by deep learning tools such as Caffe, Theano, Torch etc.
So it has a large amount of open source (The slide above puts a question mark). Also, the slide above does not show the DJI Manifold running MAVproxy. But as the Manifold runs Ubuntu, it will run MAVproxy.
A key question is whether the Volta GPU is going to be supported by the main deep learning tools. I can find no support from Caffe, Theano, or Torch for accleration via the MALI T628 GPU on the Arm chip used by the Volta. If someone else can see that, then I would love to know.
This DIY Drones discussion, is looking at how to put a GPU that supports accelerated deep learning in a plane or copter.
Here is a link to Nvidia's Drive PX2 presentation at CES2016 to show where the deep learning technology is moving in relations to driver assisted cars, which will move down to planes and copters as the tech is miniaturised.