{"id":28573363,"url":"https://github.com/opendrivelab/eta","last_synced_at":"2025-06-14T00:00:38.879Z","repository":{"id":298274231,"uuid":"998015564","full_name":"OpenDriveLab/ETA","owner":"OpenDriveLab","description":"ETA: Efficiency through Thinking Ahead, A Dual Approach to Self-Driving with Large Models","archived":false,"fork":false,"pushed_at":"2025-06-10T08:55:58.000Z","size":566,"stargazers_count":12,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-06-10T09:25:14.746Z","etag":null,"topics":["autonomous-driving","dual-system"],"latest_commit_sha":null,"homepage":"https://arxiv.org/abs/2506.07725","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/OpenDriveLab.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":".github/FUNDING.yml","license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null},"funding":{"github":["OpenDriveLab"],"patreon":null,"open_collective":null,"ko_fi":null,"tidelift":null,"community_bridge":null,"liberapay":null,"issuehunt":null,"otechie":null,"lfx_crowdfunding":null,"custom":null}},"created_at":"2025-06-07T17:28:38.000Z","updated_at":"2025-06-10T09:16:05.000Z","dependencies_parsed_at":"2025-06-10T09:26:03.766Z","dependency_job_id":"ef3b7bcd-6b23-4afd-be7e-b46be8df1c2e","html_url":"https://github.com/OpenDriveLab/ETA","commit_stats":null,"previous_names":["opendrivelab/eta"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/OpenDriveLab%2FETA","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/OpenDriveLab%2FETA/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/OpenDriveLab%2FETA/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/OpenDriveLab%2FETA/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/OpenDriveLab","download_url":"https://codeload.github.com/OpenDriveLab/ETA/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/OpenDriveLab%2FETA/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":259152773,"owners_count":22813223,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["autonomous-driving","dual-system"],"created_at":"2025-06-10T21:17:26.551Z","updated_at":"2025-06-10T21:17:27.273Z","avatar_url":"https://github.com/OpenDriveLab.png","language":"Python","funding_links":["https://github.com/sponsors/OpenDriveLab"],"categories":[],"sub_categories":[],"readme":"# 🤔 ETA\n\n## Highlight \u003ca name=\"highlight\"\u003e\u003c/a\u003e\nWe propose \"**E**fficiency through **T**hinking **A**head\" (ETA), an asynchronous dual-system that pre-processes information from past frames using a large model in tandem with processing the current information with a small model to enable real-time decisions with strong performance.\n\u003cimg width=\"800\" alt=\"CarFormer overview\" src=\"assets/overview.png\"\u003e\n\n## News \u003ca name=\"news\"\u003e\u003c/a\u003e\n- **`[2025/06/10]`** [ETA](https://arxiv.org/abs/2506.07725) paper and code release! \n\n## Results\n\u003cimg width=\"800\" alt=\"CarFormer overview\" src=\"assets/results.png\"\u003e\n\n\n## Table of Contents\n1. [Highlights](#highlight)\n2. [News](#news)\n3. [Results](#results)\n2. [Getting Started](#gettingstarted)\n   - [Training](docs/TRAIN_EVAL.md#trainingsetup)  \n   - [Evaluation](docs/TRAIN_EVAL.md#evalsetup)\n4. [TODO List](#todolist)\n6. [License and Citation](#licenseandcitation)\n7. [Other Resources](#otherresources)\n\n## Getting Started \u003ca name=\"gettingstarted\"\u003e\u003c/a\u003e\n\nTo get started with ETA:\n- Training\n  - [Download Bench2Drive Data](docs/TRAIN_EVAL.md#b2ddata)  \n  - [Setup other prerequisites](docs/TRAIN_EVAL.md#trainingsetup)\n  - [Start training](docs/TRAIN_EVAL.md#training)\n- Evaluation\n  - [Setup Bench2Drive](docs/TRAIN_EVAL.md#evalsetup)\n  - [Setup files and configs](docs/TRAIN_EVAL.md#evalfilesetup)\n  - [Download checkpoints](docs/TRAIN_EVAL.md#evalcheckpoints)\n  - [Run evaluation](docs/TRAIN_EVAL.md#runeval)\n\n## TODO List\n- [x] ETA Training code\n- [x] ETA Evaluation\n  - [x] Inference Code\n  - [ ] Checkpoints\n\n## Acknowledgements\n\nThis codebase builds on open sourced code from [CARLA Garage](git@github.com:autonomousvision/carla_garage.git) and [Bench2DriveZoo](https://github.com/Thinklab-SJTU/Bench2DriveZoo/) among others. We thank the authors for their contributions. This project is funded by the European Union (ERC, ENSURE, 101116486) with additional compute support from Leonardo Booster (EuroHPC Joint Undertaking, EHPC-AI-2024A01-060). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them. This study is also supported by National Natural Science Foundation of China (62206172) and Shanghai Committee of Science and Technology (23YF1462000).\n\n## License and Citation \u003ca name=\"licenseandcitation\"\u003e\u003c/a\u003e\nThis project is released under the [MIT License](LICENSE). If you find our project useful for your research, please consider citing our paper with the following BibTeX:\n\n\n```bibtex\n@article{hamdan2025eta,\n  title={ETA: Efficiency through Thinking Ahead, A Dual Approach to Self-Driving with Large Models},\n  author={Hamdan, Shadi and Sima, Chonghao and Yang, Zetong and Li, Hongyang and G{\\\"u}ney, Fatma},\n  journal={arXiv preprint arXiv:2506.07725},\n  year={2025}\n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fopendrivelab%2Feta","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fopendrivelab%2Feta","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fopendrivelab%2Feta/lists"}