Sparse autoencoders decompose the latent space of end-to-end autonomous driving models into interpretable concepts whose causal influence on trajectory scoring can be measured and intervened upon to improve driving performance.
Explainable ai for safe and trustworthy autonomous driving: A system- atic review,
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Driving the Wrong Way: Leveraging Interpretability in End2End Autonomous Driving Models
Sparse autoencoders decompose the latent space of end-to-end autonomous driving models into interpretable concepts whose causal influence on trajectory scoring can be measured and intervened upon to improve driving performance.