The march towards autonomous vehicles continues to accelerate. While expert opinion differs on the specific timing and use cases that will emerge first, few deny that self-driving cars are in our future. In fact, more than one hundred cities worldwide are testing autonomous vehicles today, and the market for autonomous vehicles and related technologies is growing.
However, "teaching" vehicles to drive themselves in a failsafe manner continues to challenge the best minds across the automotive and technology landscape. This whitepaper outlines the autonomous drive development process and focuses specifically on the data management challenges associated with creating self-driving cars.
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