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The domain of autonomous vehicle computing systems is changing rapidly under the pressure of an intense competition, the continuous emergence of new markets and players. Research and development in autonomous vehicles poses many challenges and opportunities both in hardware and software across the Digital Continuum: from sensors at the Edge to HPC resources in the Cloud. Hardware requirements range from specific processor architectures, efficient SIMD processing on graphics processors, and efficient memory hierarchy. Similarly, software requirements range from operating system support and specialized image processing kernels, to efficient deep learning algorithms for scene and object detection. Special attention is paid to power limitations, cost for mass production, and safety. |
