July 6, 2026 -
By 36kr.com
The development of Advanced Driver Assistance Systems (ADAS) and Autonomous Driving (AD) in the automotive industry is entering a new stage, and generative AI is becoming the core feature of this stage.
Today, generative AI is accelerating the industry's transformation towards an AI-native end-to-end (E2E) architecture, which can directly learn driving behaviors from massive datasets. Compared with traditional systems, end-to-end systems can adapt to unfamiliar environments more efficiently, handle more complex driving scenarios, and the speed of capability iteration significantly accelerates as the data processing volume increases.
These technological changes are rewriting the business logic of ADAS and autonomous driving. The competitive advantage in the industry is no longer limited to building vehicles with better performance but is shifting towards enterprises with AI models, semiconductors, cloud infrastructure, large-scale data collection, and the ability to efficiently verify software and hardware integrated systems. This transformation is taking place against the backdrop of increasing consumer attention and continuous growth in investment in the autonomous driving field.