Carla & Apollo Co-simulation
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This project aims to provide a data and control bridge for the communication between Carla and Apollo. It was tested with Carla 0.9.14 and the Apollo v8.0.0 (v8.0.0)
Please refer to Getting Started
If you want to delve deeper into using Apollo for simulation in Carla, you can refer to the following information.
We (SYNKROTRON) offer a range of advanced features, including:
Supporting remote scheduling of VTD HIL, Dspace HIL, task management, data import and export, simulation logs, and simulation report retrieval.
Supporting perceptual algorithm testing, regulatory testing, and end-to-end testing of perceptual regulation. The algorithm supports Apollo/ROS/Simulink/C++ access.
Unified management of scene libraries, classification, grouping, and labeling of scene libraries, support for automatic push of scene libraries to HIL SIL simulation software for simulation testing.
Supporting the definition of sensor internal and external parameters for different vehicle models and versions, and supporting the deployment of sensor configurations for a certain vehicle model to the HIL SIL simulation platform.
Supporting different departments and teams to build scenarios through UI and code, making it easy for testing departments to use.
Supporting the testing department to uniformly write testing rules in the cloud for backup.
With the freedom to select scenarios and evaluation rules, sensor models, and tested objects (algorithm software or domain controllers) to initiate simulation tasks, and automatically send back test reports.
Supporting different departments and teams to conduct simulation tasks, scenario building tasks, evaluation rule writing tasks, algorithm code submission tasks, etc. based on different business permissions.
If you wish to try it out, please contact us through one of the following methods.
- email: xiaofei@synkrotron.ai
- email: leili@synkrotron.ai
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contribution you make is greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Distributed under the Apache-2.0 License. See LICENSE for more information.
This work is based on the following open-source projects: