Architectural Components

Lesson 39 of 7410 min readPremium lesson preview
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Architectural Components

Use a simplified architecture to place segmentation between sensor input and downstream action prediction. Trace the separate training and inference paths, and identify which information must be carried across video frames.

Overall architecture for self-driving vehicle

Let’s discuss a simplified, high-level architecture for building a self-driving car. Our discussion entails the important learning problems to be solved and how different learning models can fit together, as shown below.

High-level architecture (CNN: Convolutional neural network, RNN: Recurrent neural network, LSTM: Long short-term memory)
High-level architecture (CNN: Convolutional neural network, RNN: Recurrent neural network, LSTM: Long short-term memory)

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