A new shortcut developed by the researchers at the University of Michigan could allow the researchers to potentially bypass millions of testing miles thereby saving 99.9 percent in time and cost. Dubbed as ‘accelerated evaluation’, the researchers from Mcity developed a process which breaks down real-world driving situations into components that can be tested repeatedly exposing the vehicles to a condensed set of driving challenges. This method takes thousands of miles of real-world driving data and simulate it with the driverless cars in order to “eliminates the many miles of uneventful driving activity to filter out only the potentially dangerous driving situations where an automated vehicle needs to respond.” The study was carried out by Ding Zhao and Huei Peng and stressing on the importance of their method, Peng said, ” If you don’t accelerate your testing process, it will be a lot of time and money. I think our method may be very useful.”
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