![]() ![]() ![]() So BMW worked with London-based Monolith AI to leverage decades of existing test data to use machine learning to detect patterns that allowed them to more accurately predict and reduce the likelihood of the leg injuries indicated by the tibia index. But doing so led the manufacturer to a place at which physical test results were not very predictable because of the many variables involved. That’s required by global regulating bodies including the NHTSA in the U.S. Because leg injuries can be common in vehicle crashes, the effect of all manner of deformation must be measured in order to predict, with a mathematical formula called the tibia index that predicts how likely knee injuries are in a crash. But if you run pattern recognition over 10,000 tests you can figure out the problem and solve it.”īMW faced a problem. One crash test may look like random noise. ![]()
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