Uber grounded its self-driving cars because of an accident, where the algorithms failed to account for a real world condition. But...
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Self-driving car algorithms are nothing that aerospace didn't already study 30 years ago. They're more advanced, more compute available...
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... but the endemic problem of non-verifiability has remained unsolved.
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My former company flew a reconfigurable neural net flight controller on the VISTA F-16 in the 90s/00s. That tech still isn't fielded.
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It worked fantastically! But V&V requirements were too huge. And flight is a simpler case than driving.
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Convolutional NN stuff is great for object detection and classification, but ultimately it's a controls problem to solve. And that's hard.
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