Discover and resolve issues faster to deliver reliable software.
Enable effective teamwork through cloud collaboration.
Use simulation at scale to decrease costs compared to other test methods.
In ADAS and AD development, large-scale testing refers to the comprehensive evaluation of systems through thousands of simulated scenarios that replicate real-world conditions. This method tests a system’s behavior across a wide range of variables to ensure reliability and performance under diverse circumstances.
Large-scale testing significantly enhances the reliability of ADAS and AD systems by exposing these systems to numerous scenarios and edge cases, which helps in identifying and rectifying potential issues. This process ensures that a system performs consistently and safely in various real-world situations.
Cloud technology enables the scaling of simulation tests, allowing for the simultaneous execution of multiple tests. This increases efficiency and coverage, providing the computational power to handle extensive data and complex simulations, which are crucial for ADAS and AD development.
Ensuring comprehensive coverage in large-scale testing involves using a combination of randomly generated and meticulously designed scenarios to test every aspect of a system’s functionality. This includes variations in environmental conditions, pedestrian interactions, and other dynamic elements.
By using large-scale testing, developers can quickly identify and address defects, optimize system performance, and validate safety requirements, which accelerates the overall development process. This approach reduces the need for time-consuming real-world tests and helps bring products to market faster.