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
Need AI/ML support?Whether you have an AI/ML question for our team, or you're interested in one of our AI/ML solutions, you can get in touch with our experts here. |