Software for "Breaking through safety performance stagnation in autonomous vehicles with dense learning"

Michigan Traffic Lab

doi:10.5281/zenodo.12735669

Published July 13, 2024 | Version v1

Software Open

Software for "Breaking through safety performance stagnation in autonomous vehicles with dense learning"

Michigan Traffic Lab¹

1. University of Michigan–Ann Arbor

Files

Dense-Learning-for-AV-Training.zip

Files (111.8 MB)

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Dense-Learning-for-AV-Training.zip md5:07b30137e5aab8e3e48bc555eb6f150e	111.8 MB	Preview Download

Additional details

Repository URL: https://github.com/michigan-traffic-lab/Dense-Learning-for-AV-Training.git
Programming language: Python
Development Status: Active

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Data volume	670.7 MB	670.7 MB

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Zenodo

License: PolyForm Noncommercial License 1.0.0

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Technical metadata

Created: July 13, 2024
Modified: March 29, 2025

Software for "Breaking through safety performance stagnation in autonomous vehicles with dense learning"

Authors/Creators

Files

Dense-Learning-for-AV-Training.zip

Files (111.8 MB)

Additional details

Software