Artificial Intelligence (AI) has played a key role in transitioning autonomous vehicles from abstract concept to the very core of most Original Equipment Manufacturer (OEM) strategies for the next decade. The widespread adoption of neural networks, running on high compute platforms–enabled OEMs and other autonomous vehicle developers, learn from experience, bypassing the need for the time-consuming and ultimately impossible task of anticipating and hardcoding for every possible scenario that the autonomous vehicle may need to navigate.
However, the adoption of the AI approach has had the side effect of requiring developers to accrue an exceptional number of driverless miles to validate an autonomous system. A 2016 study from the RAND Corporation determined that between 1 billion or even 100 billion miles would be necessary to demonstrate that an autonomous system was significantly safer than a manually controlled vehicle. Since the core marketing message for autonomous vehicles has been one of safety, OEMs are keen to have confidence in their autonomous vehicles before…
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