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Compact autonomous vehicle control system with directional relationships

Autoencoder neural network with encoder, bottleneck, and decoder layers for dimensionality reduction

RNN/LSTM architecture for sequence processing with input, hidden, and output layers over time

CNN architecture with convolutional, pooling, and fully connected layers for image classification

Comprehensive ML training with nested repeat loops for optimization

Comprehensive autonomous vehicle system requirements with safety constraints