From the series:Implementation
Jon Zeosky和塞巴斯蒂安·卡斯特罗讨论如何algorithms designed in MATLAB®可以deployed as standalone CUDA®code to target NVIDIA®GPUs, and how this standalone code can be used in a development process involving Robot Operating System (ROS).
In the software demonstration, Jon and Sebastian first use a pretrained neural network in MATLAB to create a deep learning classification algorithm. Then, they use GPU Coder™ to generate a standalone library from this algorithm and deploy it to an NVIDIA Jetson™ platform. Finally, they integrate the generated library into a ROS node developed in C++ to connect with other software nodes running on the network.
Download the example files used in this video fromMATLAB Central File Exchange.
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