THE EXPLOSION OF THE ADAS VALIDATION PROBLEM

Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles (AVs) require exhaustive validation prior to production release to ensure the safety of each new vehicle. Validation teams are required to drive millions of actual road-miles while recording the data from on-board cameras and sensors to determine if the systems behave as designed under real-world conditions. This process generates a massive amount of data (petabytes) which must be annotated and analyzed to understand system performance and identify areas for improvement. With increasing levels of driver assistance in each model-year, this problem is becoming untenable and a major source of project delays, cost overruns and potential warranty and legal liability.

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