Google ’s ego - aim cars have racked up about 1.4 million self - driven miles on actual road in the last six twelvemonth , but as telling as that sounds , it ’s a pittance compared to what the simulator have been doing behind the view .
As part of its monthly theme on self - ride cars , Google has detailed the simulators it use to examine out software package changes for its fleet . Every Admiralty mile drive by a car with sensor has been tabulated as a two - million - mile virtual test course for every version of Google ’s software package . Whenever codification is changed , it “ re - drives ” all the mile that Google ’s cars have drive in the veridical mankind before , to see how it reacts :
“ For example , to make leftover turn at an intersection more comfortable for our rider , we modified our software program to adjust the angle at which our cars would travel . To test this change , we then rerun our full driving story of 2 + million mile with the Modern turn pattern to ensure that it does n’t just make our automobile better at left over turn , but that the alteration creates a good driving experience overall .

The report claims that Google simulates three million miles of driving every day , which obviously requires some processing horsepower . fortunately , Google has a few data centers to part with .
The simulator is also utile for work out what go wrong in the past tense . Every time a test equipment driver claim ascendence toavoid a likely accident , Google ’s technologist later simulate what would have happened had the car bear on driving , and obviously desexualize any deficiencies .
Simulators alone wo n’t make self - driving cars any better in rain or snow . But as a tool to speed up development , and chequer new versions of software , it ’s potent . unspoilt thing Google has a few supererogatory computers lying around .

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