Why car manufacturers should rely on AI-based vehicle software intelligence

Why car manufacturers should rely on AI-based vehicle software intelligence

Many industries have already undergone upheaval due to new technologies. The automotive industry is currently experiencing a major change due to software. A comment from Zohar Fox, CEO of Aurora Labs.

Demands on workers, lifecycles of vehicles, business models for manufacturers – all this is turned upside down when car manufacturers transform into software companies. If OEMs want to lead the competition, they will not be able to avoid Vehicle Software Intelligence (VSI). VSI is a category of solutions based on AI that provide detailed insights into the vehicle software. Vehicle Software Intelligence solutions map the dependencies between different software systems in the vehicle and thus help to increase software quality and security. We present three use cases for which car manufacturers should rely on vehicle software intelligence solutions.

1. Understand software dependencies

A current study by the Technical University of Munich in cooperation with the BMW Group examines the dependencies of a modern vehicle software system. This shows that there are 1,451 dependencies between the 94 software systems.

Vehicle software intelligence not only uncovers these interdependencies, but also analyzes the behavior of the software systems. This allows vehicle manufacturers to keep track of how changes in one system affect every line of code in dependent other systems. This transparency is crucial for proactive maintenance, vehicle safety and to be able to implement new regulations.

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2. Discover superfluous code

Much of the vehicle software is developed by the open source community. Some vehicles still run software code that was developed many years ago. In addition, the manufacturer’s own software interacts with the systems of numerous suppliers. As a result, it is often difficult for car manufacturers to obtain ASIL-D (Automotive Safety Integrity Level) certification, which stipulates that no superfluous code may run on vehicles.

Vehicle Software Intelligence solutions enable manufacturers to track down and delete redundant code, increasing safety and simplifying ASIL-D certification.

3. Document software updates

According to our current Automotive Software Survey, every vehicle will receive between two and six over-the-air (OTA) updates per year from 2025 onwards. The guidelines of the World Forum for the Harmonization of Vehicle Regulations (UNECE WP.29) stipulate that in future vehicles will only retain their type approval without additional tests if the manufacturer can prove that an update fixes an error or it is a security patch .

With the help of AI-based vehicle software intelligence, vehicle manufacturers can prove which lines of code and which functions are affected by a software update. This speeds up the type approval process and reduces the associated costs.

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