The LiAuto Autonomous Driving (AD) Team is at the forefront of revolutionizing transportation through cutting-edge autonomous driving technologies. Our mission is to develop innovative solutions that enhance safety, efficiency, and sustainability in the mobility sector. This repository serves as a central hub for our groundbreaking projects, including advancements in Large Language Models (LLM) for AD, World Models for AD simulation, 3D Geometric Scene (3DGS) understanding for city scenes, and comprehensive End-to-End Neural Network (NN) Models for autonomous driving systems.
We leverage the power of LLMs to interpret and understand complex driving scenarios, enabling more intelligent and responsive autonomous vehicles.
Our World Models project aims to simulate realistic driving environments for testing and improving autonomous driving algorithms under various conditions.
The 3DGS project focuses on creating detailed 3D maps of urban environments, enhancing the perception systems of autonomous vehicles for better navigation and decision-making.
We are pioneering the development of comprehensive End-to-End NN models that streamline the processing pipeline of autonomous driving systems, from perception to actuation.
To get started with our projects:
- Clone the repository: Use
git clone <repository-url>to clone the repo to your local machine. - Install dependencies: Follow the installation instructions provided in the specific project directories.
- Explore the documentation: Each project comes with detailed documentation on its setup, usage, and contribution guidelines.
We have several open-source repositories that showcase our work and provide resources for the community. Below is a list of our currently available repositories:
We welcome contributions from the community! Whether you're interested in fixing bugs, adding new features, or improving documentation, your help is appreciated. Please refer to our CONTRIBUTING.md file for more details on how to contribute.
- Join our Community: Stay connected with the LiAuto AD Team and other contributors by joining our community forum or Slack channel (links provided in the repository).
- Report Issues: If you encounter any issues or have suggestions, please use the Issues tab to let us know.
Our projects are open-sourced under BSD / MIT / Apache Licence. Please refer to the LICENSE file in the repository for more details.
For any inquiries, please contact us at name@lixiang.com. Follow us on social media links to stay updated with our latest advancements.