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> They collected all this data for one task, lane keeping. They subdivided the problem of autonomous driving, and managed to solve one small subproblem (the easiest subproblem of autonomous driving, solved for decades already). They avoided the need for annotators, but only because they used specialized purpose-built cameras to augment the data.

So why not several autonomous subsystems that use specialized purpose-built cameras and don't need annotators? I'm not saying that like it's easy - obviously it's not. Just seems scalable.




The solution was specific to that subproblem. The left/right-offset cameras were for the sole purpose of providing examples of what it would look like if the car was deviating off path. The same trick would not work for any other problems. Can you think of similar camera data augmentation tricks for obstacle detection, drivable path segmentation, bicyclist signaling/intention, pedestrian detection, and so on?




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