Use a simulator to create a virtual environment for training a digital twin for autonomous vehicles. The simulator can be used to create a variety of environments and weather conditions. A combination of real-world and simulated data can be used to train the autonomous vehicle Twins. By using simulations, control systems can experience situations and we can create highly effective & mature assets.
- Simulated environments are more cost-effective and efficient than testing on real infrastructure.
- Efficient algorithms can be identified and tested through iterative evolution.
- 3D models of digital twins can be evolved over time.
Note: This approach can be used for any product that is cost-sensitive to upgrade.