Sunsetting SVL Simulator

LG has made the difficult decision to suspend active development of SVL Simulator, as of January 1, 2022. There are no plans for any new or bugfix releases of SVL Simulator in 2022. This means you will not see any new source code changes pushed to GitHub, or any reviews or merging of Pull Requests for SVL Simulator or its related plug-ins. Although SVL Simulator will remain accessible, the community should take note of the following details:

Key Points to Consider:

• The WISE cloud service is integral for downloading assets and configuring simulations.
• Existing simulator assets and documentation will be maintained at least until June 30, 2022.
• Open-source code will remain available on GitHub, allowing users to build or modify the simulator.

Questions

• Will SVL Simulator run locally without WISE?

  Latest SVL versions depend on the WISE cloud service. It may be modified to work locally through forking.

• Will LG release the source code for WISE?

  No plans exist currently to release the code for WISE.

• Can users share source code changes?

  Users can fork the project, make changes, and share those freely with the community.

• Can users post technical questions on GitHub?

  Yes, but responses are not guaranteed. Users are encouraged to help one another with issues.

Getting Started with SVL Simulator

LG Electronics America RD Lab has developed an HDRP Unity-based multi-robot simulator designed for autonomous vehicle developers. To dive into the simulator, follow these easy steps:

Recommended System Requirements:

• 4 GHz Quad Core CPU
• Nvidia GTX 1080 with 8GB GPU memory
• Windows 10 64 Bit

Downloading and Starting the Simulator:

1. Download the latest release of the SVL Simulator for your operating system from here.
2. Unzip the downloaded folder and run the executable file.
3. For complete installation, refer to the installation guide.

Building from Source:

If you wish to customize the simulator, you can build it from the source. Here’s the overview:

• Clone the project using Unity Editor and build the project from source.
• For details on how to build from source, check out the building instructions.
• Note: Use release-* branches for stable features and master for previews.

Simulator Instructions

Once you’ve set up your simulator, follow these steps:

1. After starting, click the button to link to the cloud.
2. Create a random traffic simulation.
3. Spawn your vehicle in the selected environment and start testing.
4. Refer to the current keyboard shortcuts and controls.

Troubleshooting

Should you experience any issues while using SVL Simulator, here are some troubleshooting tips:

• Check if you have the latest version of the simulator downloaded.
• Verify your system meets the recommended requirements.
• If the simulator fails to link to the cloud, ensure your internet connection is stable.

Remember, community support is valuable! For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.