Pranav-chib/End-to-End-Autonomous-Driving
A collection of recent resources on End-to-End Autonomous Driving [survey accepted in IEEE TIV]
This collection helps researchers and developers in autonomous driving by curating resources on 'End-to-End Autonomous Driving' using deep learning. It brings together academic papers and their open-source implementations, transforming scattered information into a centralized, chronologically organized list. The primary users are researchers, engineers, and scientists focused on developing or improving self-driving car systems, particularly those interested in streamlining complex, modular architectures.
242 stars. No commits in the last 6 months.
Use this if you are researching or developing end-to-end autonomous driving systems and need a comprehensive, up-to-date catalog of relevant academic papers and associated code.
Not ideal if you are looking for a plug-and-play software library or a ready-to-deploy autonomous driving solution for immediate use.
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Feb 16, 2025
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