Hitachi Solutions generative AI development platform links SDV development processes

Hitachi Solutions has introduced a new development approach designed to connect the entire automotive engineering lifecycle through the use of generative artificial intelligence. The initiative aims to improve quality management while significantly increasing development efficiency for modern vehicle software architectures. As vehicles evolve into software-defined platforms, development complexity continues to increase, requiring more advanced digital engineering tools capable of supporting large-scale simulation, validation, and compliance verification throughout the product development process.

Generative AI connects automotive development processes

The newly developed Hitachi Solutions generative AI development platform links previously fragmented development stages, allowing teams to manage design, validation, and documentation workflows within a more unified system. By integrating generative AI capabilities into engineering processes, the platform enables faster iteration and improved traceability across vehicle software programs. This approach is particularly relevant as automakers transition toward software-defined vehicles where large volumes of code, simulation data, and documentation must be handled simultaneously.

AI-driven simulation and compliance automation

One of the most notable capabilities is an extended simulation function that introduces pedestrian behavior prediction into virtual testing environments. By placing a simulated camera viewpoint representing a pedestrian, generative AI autonomously forecasts pedestrian movement patterns, improving scenario realism during development simulations. The platform also addresses Automotive SPICE compliance verification by training AI models on internal engineering knowledge. This allows automated checking of development documentation against the international standard, reducing the substantial expert effort traditionally required for manual compliance validation.