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There's a saying that neural networks are the second-best way to do everything. Don't be disappointed when their trajectory flattens out. And, as for their rol
by hahajk 10y ago
There's a saying that neural networks are the second-best way to do everything. Don't be disappointed when their trajectory flattens out.
And, as for their role in autonomous vehicles, I don't think they play a primary role (although I don't design autonomous cars so I wouldn't know for sure.) You can see in this Tesla video that a lot of the computer vision isn't even reliant on neural networks: https://www.youtube.com/watch?v=BLlwm5Dq7Is https://www.youtube.com/watch?v=BLlwm5Dq7Is
- mathattack 10y agoThere's a saying that neural networks are the second-best way to do everything. Don't be disappointed when their trajectory flattens out. Outstanding quote! I'm going to reapply it.
- Eridrus 10y agoWhy do you think that video shows that Tesla isn't reliant on neural networks? Neural nets outputting bounding boxes is pretty normal. Despite NVIDIA's papers, end-to-end neural nets for self-driving cars are dumb, but for the initial perception based on sensor data, neural nets are the only game in town.
- hahajk 10y agoI was looking at the optical flow indicators and the road-tracking. Afaik any NN solution to those are immature if they work reliably at all. Your probably right that that the bounding boxes are probably NNs.