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This is incredibly cool, and I'd love to enter, but despite having one of the races in Sydney, the actual DeepRacer hardware doesn't ship outside of the United

This is incredibly cool, and I'd love to enter, but despite having one of the races in Sydney, the actual DeepRacer hardware doesn't ship outside of the United States. Baffling from a company that has a local presence in Australia. If anyone from AWS is reading, I'd love to buy one!

cr0sh 8y ago
Any idea if you can enter your own homebrew system? I mean, the hardware listed isn't really all that special. You could probably take this: https://blog.davidsingleton.org/nnrccar/ https://blog.davidsingleton.org/nnrccar/ Slap it on new-ish Samsung or Apple phone, coupled to a cheap-ish RC car... That'd probably get you 80% of the way; also, check out NVidia's "End-to-End" self-driving vehicle paper: https://images.nvidia.com/content/tegra/automotive/images/2016/solutions/pdf/end-to-end-dl-using-px.pdf https://images.nvidia.com/content/tegra/automotive/images/20... I built a tensorflow model from that trained on a 750 TI for the Udacity Self-Driving Car Engineer Nanodegree (it was part of the course to build such a thing that ran on a virtual track), and after training it did quite well - at least on a virtual track. A few tweaks to the model, maybe using the TensorFlowLite package or something on the phone - probably work fine for 99.9% of the runs...
- JimmyAustin 8y ago
  I actually completed the Udacity SDC course as well and implemented the same Nvidia NN. I looked into building my own implementation, but decided against it. I'm not particularly interested in the hardware, just the algorithms that drive it, and the amount of time spent getting the hardware working (not to mention a simulator ) would have been nontrivial. Perhaps I'll grab a Donkey.
- Calms 8y ago
  I'm not with Amazon and as much as I'd like to do the same, I suspect not. The whole idea of the competition would be to use the same hardware so it's a level playing field from a hardware perspective which turns it into a software competition, right?
endorphone 8y ago
I assume it'll appear in the local Amazon instances soon enough. It doesn't ship until April 15th so plenty of time.

cr0sh 8y ago

Any idea if you can enter your own homebrew system? I mean, the hardware listed isn't really all that special. You could probably take this: https://blog.davidsingleton.org/nnrccar/ https://blog.davidsingleton.org/nnrccar/ Slap it on new-ish Samsung or Apple phone, coupled to a cheap-ish RC car... That'd probably get you 80% of the way; also, check out NVidia's "End-to-End" self-driving vehicle paper: https://images.nvidia.com/content/tegra/automotive/images/2016/solutions/pdf/end-to-end-dl-using-px.pdf https://images.nvidia.com/content/tegra/automotive/images/20... I built a tensorflow model from that trained on a 750 TI for the Udacity Self-Driving Car Engineer Nanodegree (it was part of the course to build such a thing that ran on a virtual track), and after training it did quite well - at least on a virtual track. A few tweaks to the model, maybe using the TensorFlowLite package or something on the phone - probably work fine for 99.9% of the runs...

JimmyAustin 8y ago
I actually completed the Udacity SDC course as well and implemented the same Nvidia NN. I looked into building my own implementation, but decided against it. I'm not particularly interested in the hardware, just the algorithms that drive it, and the amount of time spent getting the hardware working (not to mention a simulator ) would have been nontrivial. Perhaps I'll grab a Donkey.
Calms 8y ago
I'm not with Amazon and as much as I'd like to do the same, I suspect not. The whole idea of the competition would be to use the same hardware so it's a level playing field from a hardware perspective which turns it into a software competition, right?

endorphone 8y ago

I assume it'll appear in the local Amazon instances soon enough. It doesn't ship until April 15th so plenty of time.