Artificial Intelligence & Machine Learning

Automotive on S32V234 Title (MT)

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Deep Learning in Automotive on S32V234 Embedded Processors

Automotive on S32V234 main content (LC)

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Develop Deep Learning automotive solutions with eIQ Auto toolkit on the S32V234 Automotive Vision Processors

Features

  • Deep learning in Automotive Applications with automotive grade machine learning inference engines for the NXP S32V processing devices
  • Supported by eIQ Auto toolkit (machine learning software development environment), based on inference engines developed with open-source tools to convert Deep Neural Network model formats such as TensorFlow, ONNX, Caffe, Pytorch
  • eIQ Auto toolkit helps enable seamless standards conformance for safety-critical automotive applications
  • Automotive SPICE compliance to ensure that the eIQ Auto toolkit meets international automotive development standards

Applications / Use Cases

  • Mirror Replacement (e-Mirror)
  • Advanced Driver-Assistance Systems (ADAS)
  • Driver Monitoring System (DMS)
  • In-Cabin Monitoring
NXP S32V234 Embedded Processor and eIQ Auto logo

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