> It's almost as if you've never developed software.
I do develop software. In fact I do develop self driving car software.
Yes it is not easy. Just talking about this particular case. Are the cars not remaining stationary because the legally prescribed behaviour is not coded down? Or are they going around school busses because the "is_school_bus" classifier or the "is_stop_arm_deployed" classifier having false negative issues? If we fix/implement those classifiers will we see issues caused by false positives? Will we cause issues where the vehicles suddenly stop when they think they see a stop arm but there isn't one actually? Will we cause issues if a bus deploys a stop arm as we are overtaking them? What about if they deploy the stop arm while we are 10 meter behind them? 20? 30? 40? 100?
And that's just one feature. How does this feature interact with other features? Will we block emergency vehicles sometimes? What should we do if a police person is signalling us to proceed, but the school bus's stop arm is stopping us? If we add this one more classifier will the GPU run out of vram? Will we cause thread thrashing? Surely not, unless we implement it wrong. In which case definitely. Did we implement it right? Do we have enough labeled data about stop arms of school buses? Is our sensor resolution good enough to see them far enough? Even in darkness? What about fog? Or blinding light? Do every state/country uses the same rules about school busses?
I do develop software. In fact I do develop self driving car software.
Yes it is not easy. Just talking about this particular case. Are the cars not remaining stationary because the legally prescribed behaviour is not coded down? Or are they going around school busses because the "is_school_bus" classifier or the "is_stop_arm_deployed" classifier having false negative issues? If we fix/implement those classifiers will we see issues caused by false positives? Will we cause issues where the vehicles suddenly stop when they think they see a stop arm but there isn't one actually? Will we cause issues if a bus deploys a stop arm as we are overtaking them? What about if they deploy the stop arm while we are 10 meter behind them? 20? 30? 40? 100?
And that's just one feature. How does this feature interact with other features? Will we block emergency vehicles sometimes? What should we do if a police person is signalling us to proceed, but the school bus's stop arm is stopping us? If we add this one more classifier will the GPU run out of vram? Will we cause thread thrashing? Surely not, unless we implement it wrong. In which case definitely. Did we implement it right? Do we have enough labeled data about stop arms of school buses? Is our sensor resolution good enough to see them far enough? Even in darkness? What about fog? Or blinding light? Do every state/country uses the same rules about school busses?
> I am curious about Waymo's testing
They do publish a lot. This one is nice overview but not too technical: https://downloads.ctfassets.net/sv23gofxcuiz/4gZ7ZUxd4SRj1D1...
Or if you want more juicy details read their papers: https://waymo.com/safety/research/