Bringing Open Standards for Safety Critical to the Automotive Industry

The next-generation of advanced driver-assistance systems (ADAS) support in vehicles needs to compute vast amounts of data using sensor fusion applications with decision-making capabilities in order to make sense of the environment in which vehicles operate and make safe tactical maneuvers and decisions. This presents a growing need for neural network processing and multi-layer data compute stacks to receive and consume vast amounts of data from things like sensors, cameras, GPS, LiDAR 3D point data, ultrasonics, and V2X or V2V communication. Moreover, there is a need for the layers in these systems to not only be technically efficient, but also compatible with existing automotive safety standards.

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