Awesome
<p align="center"> <img alt="sledge" src="assets/sledge_logo_transparent.png" width="500"> <h1 align="center">Generative Simulation for Vehicle Motion Planning </h1> <h3 align="center"><a href="https://arxiv.org/abs/2403.17933">Paper</a> | <a href="https://danieldauner.github.io/assets/pdf/Chitta2024ARXIV_supplementary.pdf">Supplementary</a> | <a href="https://youtu.be/YGxcg2WmkWo?si=-r_6yObHs7H9xJEn&t=28483">Talk</a> </h3> </p> <br/>SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic <br> Kashyap Chitta, Daniel Dauner, and Andreas Geiger <br> University of Tübingen, Tübingen AI Center
European Conference on Computer Vision (ECCV), 2024 <br>
This 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).
<br/>https://github.com/autonomousvision/sledge/assets/50077664/1c653fda-6e44-4018-ae98-2ab3d0439cad
News 📰
18 Aug, 2024: We released v0.1 of the SLEDGE code!01 Jul, 2024: Our paper was accepted at ECCV 2024 🇮🇹27 Mar, 2024: We released our paper on arXiv!
Table of Contents 📜
Getting started 🚀 <a name="gettingstarted"></a>
- Installation and download
- Running the autoencoder
- Running the diffusion model
- Simulation and visualization
Changelog 🛷 <a name="changelog"></a>
[2024/08/18]SLEDGE v0.1 release- Scripts for pre-processing and downloads
- Raster-vector autoencoder (training & latent caching)
- Latent diffusion models (training & scenario generation)
- Simple simulations
- SledgeBoard
TODO 📋<a name="todo"></a>
- Add videos and talks
- Release checkpoints
- Metrics & complete simulation code
- SLEDGE v0.1 & camera ready release
- Initial repository & preprint release
Contact ✉ <a name="contact"></a>
If you have any questions or suggestions, please feel free to open an issue or contact us (daniel.dauner@uni-tuebingen.de).
Citation 📎 <a name="citation"></a>
If you find SLEDGE useful, please consider giving us a star 🌟 and citing our paper with the following BibTeX entry.
@InProceedings{Chitta2024ECCV,
title = {SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic},
author = {Kashyap Chitta and Daniel Dauner and Andreas Geiger},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2024},
}
Other resources 💡 <a name="otherresources"></a>
<a href="https://twitter.com/AutoVisionGroup" target="_blank"> <img alt="Twitter Follow" src="https://img.shields.io/twitter/follow/Awesome Vision Group?style=social&color=brightgreen&logo=twitter" /> </a> <a href="https://twitter.com/kashyap7x" target="_blank"> <img alt="Twitter Follow" src="https://img.shields.io/twitter/follow/Kashyap Chitta?style=social&color=brightgreen&logo=twitter" /> </a> <a href="https://twitter.com/DanielDauner" target="_blank"> <img alt="Twitter Follow" src="https://img.shields.io/twitter/follow/Daniel Dauner?style=social&color=brightgreen&logo=twitter" /> </a>- Special thanks to Agniv Sharma for his reimplementation of HDMapGen which we used as a baseline!
- NAVSIM | tuPlan garage | CARLA garage | Survey on E2EAD
- PlanT | KING | TransFuser | NEAT