Originally granted in 2020, aiSim was the world’s first simulator for ADAS/AD to achieve this certification.
TÜV Nord has confirmed that aiSim 5 complies with ISO 26262:2018 standards for automotive safety integrity level D (ASIL D). The certification emphasises the simulator's physics-based aspects, complete determinism, and adherence to an end-to-end ISO 26262-compliant development process.
It covers 33 customer use cases of scenario-based verification and validation, including the simulation of major sensor modalities and all APIs to enable seamless integration with other tools and models.
The complexity of the solutions needed for automated driving in the automotive industry can only be solved by relying on the results of massive simulations. It’s important that aiSim 5's ISO 26262 certification streamlines the validation process for customers and by integrating aiSim into their validation pipelines, customers can benefit from simplified compliance with ISO standards, saving time, resources, and costs.
“From the first day of aiSim’s development, we had two goals: on the one hand, to create a tool that closely correlates with real-world testing, from the sensors to the entire vehicle dynamics. On the other hand, to make aiSim automotive-compliant so our customers can rely on an efficient environment simulation with open interfaces covered by the highest safety standards, making the results bit-by-bit reproducible and trustworthy,” explained Szabolcs Janky, SVP of Product for aiMotive’s software tools.
Launched in January 2024, aiSim 5 represents a significant advancement in simulation technology.
Powered by AI-based content creation, optimised sensor simulation, and deterministic, reproducible environments, aiSim 5 is also infused with Automotive General Intelligence (AutoGI) to enable an unprecedented scale of virtual contents and environments available for simulation.
The certified simulator covers the most versatile use cases, from L4 automated truck sensor simulation and electric vehicle ADAS development, to complex real-time HiL simulation and adaptive scenario-based verification and validation.
