Insight: Artificial Intelligence in Automotive, Can Compound AI Compete Against End-to-End AI?

Explore the paradox of autonomous driving: balancing complexity and affordability with AI solutions like E2E and Compound AI Systems for safer, scalable vehicles.

There is a paradox in the development of autonomous driving systems. It is complicated and time-consuming, but commercialization requires affordability and rapid scaling. Artificial Intelligence is needed to limit the vast amount of memory and programming required to identify and react to all driving scenarios using a purely rules-based approach. Many developments involve the use of End-to-End (E2E) AI models. However, some claim that Compound AI System (CAIS) models offer a more efficient and safer alternative. This insight report provides information on CAIS and automakers’ preferences.