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Comment: other problems: quality / systems engineering (Score 1) 646

by xristo70 (#21966410) Attached to: GM Says Driverless Cars Will Be Ready By 2018
Like others have said, the algorithms are already quite robust, but problems are the price of sensors and also legal issues.

But also quality management and systems engineering will be a problem with "intelligent" vehicles:
- Cars continue evolving AFTER the production line
- Even worse: all cars will evolve in a seperate ways

So obviously normal Six Sigma works based on normal statistical distribution go out of the window.
And who will analyze the problems? workshop mechanics (controlling algoritms??)? GM workers following every car remotely (huge costs, data overload and privacy concerns, anyone?)?? How can one in the concept phase design for characteristics which will be emergent?

And many more such issues. Long way to go then before it can really be used in mass-produced cars designed by regular project teams.

There is nothing so easy but that it becomes difficult when you do it reluctantly. -- Publius Terentius Afer (Terence)

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