Exploring Latent Pathways: Enhancing the Interpretability of Autonomous Driving with a Variational Autoencoder

Autonomous driving presents a complex challenge, which is usually addressed with artificial intelligence models that are end-to-end or modular in nature. Within the landscape of modular approaches, a bio-inspired neural circuit policy model has emerged as an innovative control module, offering a com...

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Veröffentlicht in:	arXiv.org 2024-04
Hauptverfasser:	Bairouk, Anass, Maras, Mirjana, Herlin, Simon, Amini, Alexander, Blanchon, Marc, Hasani, Ramin, Chareyre, Patrick, Rus, Daniela
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Artificial neural networks Biomimetics Feature extraction Perturbation Steering wheels
Online-Zugang:	Volltext
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