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RoSi is a full end-to-end simulation platform, designed for the development, validation, and testing of Autonomous Driving software, especially for confined areas use cases. Thanks to highly optimized and scalable architecture, it is a perfect solution for simulating a fleet of autonomous vehicles. RoSi can be applied to productivity assessment and optimization, safety validation, and generation of synthetic data for ML models training and evaluation.
For proper simulation of the target environment, we created a semi-automatic pipeline for the creation of a digital copy of the scene based on 3D scans and architectural plans. To improve the realism of the scene, geodata, satellite images, and video recordings are used as well.
RoSi simulation is based on Unity3D engine. With the created Digital Twin of the environment and simulation of a variety of sensors, test scenarios can be tested to accurately evaluate AV software before or in addition to the real-world testing.
To validate the system, it is critical to measure performance and quality. We provide the set of safety and productivity-related metrics which are calculated during experiments execution. We can also add more metrics if needed.
For easier use of our RoSi Simulation Platform, we created a graphical user interface for the simple creation of configuration files, experiments execution, and monitoring and analysis of experiments results.
