Automotive Artificial Intelligence provides the AAI ReplicaR platform, a simulation environment for validating and homologating highly automated driving (HAD) systems through closed and open loop testing. This platform enables engineers to efficiently create, execute, and analyze test scenarios, ensuring compliance with safety guidelines while enhancing test coverage and reducing development costs.
Funding
Funding not disclosed
Founders
Product
Problem
Validating and homologating highly automated driving (HAD) systems requires extensive testing, which can be inefficient, costly, and time-consuming using traditional physical testing methods. Ensuring compliance with safety guidelines and achieving comprehensive test coverage poses significant challenges for automotive engineers.
Solution
AAI ReplicaR is a simulation platform designed for the virtual validation and homologation of HAD systems through closed and open-loop testing. The platform provides a holistic synthetic environment, enabling engineers to create, execute, and analyze test scenarios efficiently. It supports both manual and automated scenario generation, leveraging real-world data and synthetic environments to enhance test suites and increase test case coverage. AAI ReplicaR facilitates seamless integration with Hardware-in-the-Loop (HiL) systems and other simulation platforms, offering flexibility in executing scenarios tailored to specific requirements. Interactive dashboards provide a concise and intuitive way to analyze data sets from simulated and digitized physical test drives, allowing for customized data visualization.
Target Audience
The primary users are automotive engineers and developers involved in the development, validation, and homologation of highly automated driving systems.
Features
- Closed and open-loop testing capabilities for comprehensive HAD system validation
- Modular and flexible deployment options to suit various testing needs
- Scalable and traceable testing methodology for efficient development and homologation
- Compliant with established safety guidelines to ensure regulatory adherence
- Support for both manual and automated scenario generation using real-world data and synthetic environments
- Seamless integration with Hardware-in-the-Loop (HiL) systems and other simulation platforms
- Interactive dashboards for concise and intuitive data analysis and visualization
- Tools for defining Operational Design Domains (ODDs) with access to a representative set of real-world highway and city maps