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  • Li Auto’s Autonomous Driving Ambitions Hit a Roadblock: Key ‘End-to-End’ Model Lead Departs
  • Automotive & Technology

Li Auto’s Autonomous Driving Ambitions Hit a Roadblock: Key ‘End-to-End’ Model Lead Departs

Key Li Auto exec Xia Zhongpu, in charge of 'end-to-end' autonomous driving, is reportedly departing. This raises questions about the future of the company's self-driving plans.
benny 2025-05-21 2 min read

Hold onto your hats, folks, because we’ve got some potentially unsettling news coming out of Li Auto. Sources are whispering that Xia Zhongpu, the head of Li Auto’s crucial ‘end-to-end’ autonomous driving model development, is on his way out. Yes, you heard that right.


Photo source:cnevpost.com

Xia, a high-ranking 21-level employee reporting directly to VP of Autonomous Driving Research and Development Lang Xianpeng, has reportedly already stepped away from the VLA (Vehicle Longitudinal and Lateral Acceleration) project – Li Auto’s latest and most ambitious attempt at full self-driving. His absence has been practically deafening in recent weeks, with several missed key meetings.

Now, before we descend into full-blown panic, Li Auto hasn’t officially commented. But the scuttlebutt is strong. Xia joined Li Auto in 2023, bringing with him a solid background from Baidu’s autonomous driving division. His departure raises serious questions about the trajectory of Li Auto’s self-driving tech.

Here’s a quick breakdown of what this all really means:

End-to-end models represent a pivotal shift in autonomous driving. Traditionally, self-driving systems relied on meticulously programmed rules. End-to-end learning lets AI learn directly from raw data.

This approach drastically reduces the need for hand-coded rules, potentially leading to more flexible and robust systems that handle complex real-world scenarios more effectively.

However, end-to-end models require massive datasets and substantial computational power. They’re complex to develop and validate, and depend heavily on talent.

The rumor mill suggests a potential change in technical direction at Li Auto may be a contributing factor. This could point to internal disagreements about the best pathway to achieve truly autonomous driving capabilities. It’s a critical moment for Li Auto, and a clear signal that the road to self-driving isn’t paved with algorithms alone – it’s paved with the people building those algorithms.



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