Enhancing Interpretability in Autonomous Driving through a Variational Autoencoder and Neural Circuit Policy Framework

A novel framework combining a variational autoencoder (VAE) and a neural circuit policy (NCP) to generate interpretable steering commands from input images, with an automatic latent perturbation tool to enhance the interpretability of the VAE's latent space.