{"id":18600769,"url":"https://github.com/autonomousvision/sledge","last_synced_at":"2025-04-05T01:04:24.076Z","repository":{"id":229982003,"uuid":"760440786","full_name":"autonomousvision/sledge","owner":"autonomousvision","description":"[ECCV'24] SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic","archived":false,"fork":false,"pushed_at":"2024-10-16T09:16:46.000Z","size":589,"stargazers_count":175,"open_issues_count":3,"forks_count":7,"subscribers_count":13,"default_branch":"main","last_synced_at":"2025-03-29T00:04:53.617Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/autonomousvision.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"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}},"created_at":"2024-02-20T12:31:46.000Z","updated_at":"2025-03-24T02:55:13.000Z","dependencies_parsed_at":"2024-03-27T08:22:48.872Z","dependency_job_id":"fc7427c7-95bd-4cca-be66-5636b509a823","html_url":"https://github.com/autonomousvision/sledge","commit_stats":{"total_commits":16,"total_committers":3,"mean_commits":5.333333333333333,"dds":0.4375,"last_synced_commit":"3d72828a1895d1a467f11a8343988c6a1eb4b684"},"previous_names":["autonomousvision/sledge"],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/autonomousvision%2Fsledge","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/autonomousvision%2Fsledge/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/autonomousvision%2Fsledge/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/autonomousvision%2Fsledge/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/autonomousvision","download_url":"https://codeload.github.com/autonomousvision/sledge/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247271519,"owners_count":20911587,"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":[],"created_at":"2024-11-07T02:05:18.820Z","updated_at":"2025-04-05T01:04:24.058Z","avatar_url":"https://github.com/autonomousvision.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n\u003cp align=\"center\"\u003e\n    \u003cimg alt=\"sledge\" src=\"assets/sledge_logo_transparent.png\" width=\"500\"\u003e\n    \u003ch1 align=\"center\"\u003eGenerative Simulation for Vehicle Motion Planning \u003c/h1\u003e\n    \u003ch3 align=\"center\"\u003e\u003ca href=\"https://arxiv.org/abs/2403.17933\"\u003ePaper\u003c/a\u003e | \u003ca href=\"https://danieldauner.github.io/assets/pdf/Chitta2024ARXIV_supplementary.pdf\"\u003eSupplementary\u003c/a\u003e | \u003ca href=\"https://youtu.be/YGxcg2WmkWo?si=-r_6yObHs7H9xJEn\u0026t=28483\"\u003eTalk\u003c/a\u003e \u003c/h3\u003e\n\u003c/p\u003e\n\n\u003cbr/\u003e\n\n\u003e [**SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic**](https://arxiv.org/abs/2403.17933) \u003cbr\u003e\n\u003e [Kashyap Chitta](https://kashyap7x.github.io/), [Daniel Dauner](https://danieldauner.github.io/), and [Andreas Geiger](https://www.cvlibs.net/) \u003cbr\u003e\n\u003e University of Tübingen, Tübingen AI Center\n\u003e\n\u003e European Conference on Computer Vision (ECCV), 2024\n\u003e \u003cbr\u003e\n\u003e\n\nThis repo contains SLEDGE, the first generative simulator for vehicle motion planning trained on real-world driving logs. We will be publicly releasing our code for simulation, evaluation, and training (including pre-trained checkpoints). \n\n\u003cbr/\u003e\n\nhttps://github.com/autonomousvision/sledge/assets/50077664/1c653fda-6e44-4018-ae98-2ab3d0439cad\n\n## News \u0026#128240; \n* **`18 Aug, 2024`:** We released v0.1 of the SLEDGE code!\n* **`01 Jul, 2024`:** Our paper was accepted at [ECCV 2024](https://eccv.ecva.net/) \u0026#127470;\u0026#127481;\n* **`27 Mar, 2024`:** We released our paper on [arXiv](https://arxiv.org/abs/2403.17933)!\n\n\n## Table of Contents \u0026#128220;\n1. [Getting started](#gettingstarted)\n2. [Changelog](#changelog)\n3. [Contact](#contact)\n4. [Citation](#citation)\n5. [Other resources](#otherresources)\n\n\n## Getting started \u0026#128640; \u003ca name=\"gettingstarted\"\u003e\u003c/a\u003e\n\n- [Installation and download](docs/installation.md)\n- [Running the autoencoder](docs/autoencoder.md) \n- [Running the diffusion model](docs/diffusion.md)\n- [Simulation and visualization](docs/simulation.md)\n\n\n## Changelog \u0026#128759; \u003ca name=\"changelog\"\u003e\u003c/a\u003e\n- **`[2024/08/18]`** SLEDGE v0.1 release\n  - Scripts for pre-processing and downloads\n  - Raster-vector autoencoder (training \u0026 latent caching)\n  - Latent diffusion models (training \u0026 scenario generation)\n  - Simple simulations\n  - SledgeBoard\n\n\n## TODO \u0026#128203;\u003ca name=\"todo\"\u003e\u003c/a\u003e\n- [ ] Add videos and talks\n- [ ] Release checkpoints\n- [ ] Metrics \u0026 complete simulation code\n- [X] SLEDGE v0.1 \u0026 camera ready release\n- [x] Initial repository \u0026 preprint release\n\n\n## Contact \u0026#9993; \u003ca name=\"contact\"\u003e\u003c/a\u003e\nIf you have any questions or suggestions, please feel free to open an issue or contact us (daniel.dauner@uni-tuebingen.de).\n\n## Citation \u0026#128206; \u003ca name=\"citation\"\u003e\u003c/a\u003e\nIf you find SLEDGE useful, please consider giving us a star \u0026#127775; and citing our paper with the following BibTeX entry.\n\n```BibTeX\n@InProceedings{Chitta2024ECCV, \n\ttitle = {SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic}, \n\tauthor = {Kashyap Chitta and Daniel Dauner and Andreas Geiger}, \n\tbooktitle = {European Conference on Computer Vision (ECCV)}, \n\tyear = {2024}, \n}\n```\n\n## Other resources \u0026#128161; \u003ca name=\"otherresources\"\u003e\u003c/a\u003e\n\n\u003ca href=\"https://twitter.com/AutoVisionGroup\" target=\"_blank\"\u003e\n    \u003cimg alt=\"Twitter Follow\" src=\"https://img.shields.io/twitter/follow/Awesome Vision Group?style=social\u0026color=brightgreen\u0026logo=twitter\" /\u003e\n  \u003c/a\u003e\n\u003ca href=\"https://twitter.com/kashyap7x\" target=\"_blank\"\u003e\n    \u003cimg alt=\"Twitter Follow\" src=\"https://img.shields.io/twitter/follow/Kashyap Chitta?style=social\u0026color=brightgreen\u0026logo=twitter\" /\u003e\n  \u003c/a\u003e\n\u003ca href=\"https://twitter.com/DanielDauner\" target=\"_blank\"\u003e\n    \u003cimg alt=\"Twitter Follow\" src=\"https://img.shields.io/twitter/follow/Daniel Dauner?style=social\u0026color=brightgreen\u0026logo=twitter\" /\u003e\n  \u003c/a\u003e\n\n- Special thanks to [Agniv Sharma](https://github.com/agshar96) for his reimplementation of [HDMapGen](https://github.com/agshar96/HDMapGen) which we used as a baseline!\n- [NAVSIM](https://github.com/autonomousvision/navsim) | [tuPlan garage](https://github.com/autonomousvision/sledge) | [CARLA garage](https://github.com/autonomousvision/carla_garage) | [Survey on E2EAD](https://github.com/OpenDriveLab/End-to-end-Autonomous-Driving)\n- [PlanT](https://github.com/autonomousvision/plant) | [KING](https://github.com/autonomousvision/king) | [TransFuser](https://github.com/autonomousvision/transfuser) | [NEAT](https://github.com/autonomousvision/neat)\n\n\u003cp align=\"right\"\u003e(\u003ca href=\"#top\"\u003eback to top\u003c/a\u003e)\u003c/p\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fautonomousvision%2Fsledge","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fautonomousvision%2Fsledge","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fautonomousvision%2Fsledge/lists"}