Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

Paper | Supplementary | Talk | 2024 Challenge | Leaderboard v2 | Warmup Leaderboard v2

NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

Daniel Dauner^1,2, Marcel Hallgarten^1,5, Tianyu Li³, Xinshuo Weng⁴, Zhiyu Huang^4,6, Zetong Yang³
Hongyang Li³, Igor Gilitschenski^7,8, Boris Ivanovic⁴, Marco Pavone^4,9, Andreas Geiger^1,2, and Kashyap Chitta^1,2

¹University of Tübingen, ²Tübingen AI Center, ³OpenDriveLab at Shanghai AI Lab, ⁴NVIDIA Research
⁵Robert Bosch GmbH, ⁶Nanyang Technological University, ⁷University of Toronto, ⁸Vector Institute, ⁹Stanford University

Advances in Neural Information Processing Systems (NeurIPS), 2024
Track on Datasets and Benchmarks

Highlights

🔥 NAVSIM gathers simulation-based metrics (such as progress and time to collision) for end-to-end driving by unrolling simplified bird's eye view abstractions of scenes for a short simulation horizon. It operates under the condition that the policy has limited influence on the environment, which enables efficient, open-loop metric computation while being better aligned with closed-loop evaluations than traditional displacement errors.

This branch contains the code for NAVSIM v2, used in the 2025 NAVSIM challenge. For NAVSIM v1, as well as its navtest leaderboard, please check the v1.1 branch.

Table of Contents

1. Highlights
2. Getting started
3. Changelog
4. License and citation
5. Other resources

Getting started

• Download and installation
• Understanding and creating agents
• Understanding the data format and classes
• Dataset splits vs. filtered training / test splits
• Understanding the Extended PDM Score
• Understanding the traffic simulation
• Submitting to the Leaderboard

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Changelog

• [2025/04/28] NAVSIM v2.2 release (official devkit version for AGC 2025)
  • Release of private_test_hard dataset (see splits) for the HuggingFace NAVSIM v2 End-to-End Driving Challenge 2025 Leaderboard.
    • The submission deadline is 2025-05-11 00:00:00 UTC
    • You are limited to one upload per day on the challenge leaderboard, which should take approximately 2 hours to evaluate after a succesful submission.
  • Fixed bug in openscene_meta_datas for navhard and warmup
    • ⚠️ IMPORTANT: If you used navhard_two_stage/openscene_meta_datas or warmup_two_stage/openscene_meta_datas to evaluate your model, please re-download and use the new data.
• [2025/04/24] NAVSIM v2.1.2 release
  • Release of navhard_two_stage dataset (see splits)
  • Updated Extended Predictive Driver Model Score (EPDMS) for the Hugging Face Warmup leaderboard. See see metrics for details regarding the implementation.
• [2025/04/13] NAVSIM v2.1.1 release
  • Updated dataset for the warmup leaderboard with minor fixes
• [2025/04/08] NAVSIM v2.1 release
  • Added new dataset for the Hugging Face Warmup leaderboard (see submission)
  • Introduced support for two-stage reactive traffic agents (see traffic simulation)
• [2025/02/28] NAVSIM v2.0 release
  • Extends the PDM Score with more metrics and penalties (see metrics)
  • Adds a new two-stage pseudo closed-loop simulation (see metrics)
  • Adds support for reactive traffic agent policies (see traffic simulation)
• [2024/09/03] NAVSIM v1.1 release
  • Leaderboard for navtest on Hugging Face
  • Release of baseline checkpoints on Hugging Face
  • Updated docs for submission and paper
• [2024/04/21] NAVSIM v1.0 release (official devkit version for AGC 2024)
  • Parallelization of metric caching / evaluation
  • Adds Transfuser baseline (see agents)
  • Adds standardized training and test filtered splits (see splits)
  • Visualization tools (see tutorial_visualization.ipynb)
• [2024/04/03] NAVSIM v0.4 release
  • Support for test phase frames of competition
  • Download script for trainval
  • Egostatus MLP Agent and training pipeline
• [2024/03/25] NAVSIM v0.3 release
  • Adds code for Leaderboard submission
• [2024/03/11] NAVSIM v0.2 release
  • Easier installation and download
  • mini and test data split integration
  • Privileged Human agent
• [2024/02/20] NAVSIM v0.1 release (initial demo)
  • OpenScene-mini sensor blobs and annotation logs
  • Naive ConstantVelocity agent

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License and citation

All assets and code in this repository are under the Apache 2.0 license unless specified otherwise. The datasets (including nuPlan and OpenScene) inherit their own distribution licenses. Please consider citing our paper and project if they help your research.

@inproceedings{Dauner2024NEURIPS,
	author = {Daniel Dauner and Marcel Hallgarten and Tianyu Li and Xinshuo Weng and Zhiyu Huang and Zetong Yang and Hongyang Li and Igor Gilitschenski and Boris Ivanovic and Marco Pavone and Andreas Geiger and Kashyap Chitta},
	title = {NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking},
	booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
	year = {2024},
}

@misc{Contributors2024navsim,
    title={NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking},
    author={NAVSIM Contributors},
    howpublished={\url{https://github.com/autonomousvision/navsim}},
    year={2024}
}

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Other resources

• SLEDGE | tuPlan garage | CARLA garage | Survey on E2EAD
• PlanT | KING | TransFuser | NEAT

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