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VAD
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VAD

[ICCV 2023 & ICLR 2026] VAD: Vectorized Scene Representation for Efficient Autonomous Driving

by hustvl · GitHub
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autonomous-drivingend-to-endApache-2.0Python
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Develop efficient self-driving car systems using advanced scene representation techniques.

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1 3431 342
2026-07-202026-08-31
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📄 About

[ICCV 2023 & ICLR 2026] VAD: Vectorized Scene Representation for Efficient Autonomous Driving

VAD has 1.3k stars on GitHub. It has been forked 167 times. VAD is written mainly in Python. It has been in active development since 2023. VAD is available under the Apache-2.0 license. Its main topics are autonomous-driving, end-to-end.

Frequently asked questions

What is VAD?

[ICCV 2023 & ICLR 2026] VAD: Vectorized Scene Representation for Efficient Autonomous Driving

Is VAD open source?

VAD is an open-source project. It is released under the Apache-2.0 license.

Is VAD free?

Yes. VAD is free and open source — you can use, modify and self-host it.

What license does VAD use?

VAD is available under the Apache-2.0 license.

What language is VAD written in?

VAD is written mainly in Python.

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