C Talk | Mobileye: Driving the future mobility revolution with AI in its DNA

As artificial intelligence intertwines with the automotive industry, autonomous driving technology is reshaping the future of mobility in profoundly disruptive ways. In this global technological race, Mobileye—steered by computer scientist Prof. Amnon Shashua—has persistently propelled the boundaries of innovation with its high-performance technologies. From pioneering vision-based ADAS systems to its soon-to-be-mass-produced "eyes-off" autonomous solution Chauffeur, Mobileye's 25-year journey demonstrates that true transformation demands not only algorithmic breakthroughs but an ultimate equilibrium between cost, safety, and global scalability. 

In an exclusive interview with Gasgoo's C Talk series on January 8, 2025, Prof. Amnon Shashua, blending academic rigor with entrepreneurial pragmatism, unveiled Mobileye's dual-edged strategy of ambition and pragmatic execution.

EyeQ: The Brain Behind Autonomous Driving Evolution

At its core lies the EyeQ chip family, which redefines computational efficiency through real-world metrics like frames per second rather than theoretical TOPS benchmarks. Frames per second represents the actual output you seek from the chip, indicating how many frames per second are processed while running a specific algorithm. The latest EyeQ6H chip delivers a tenfold performance leap, powering the second-generation SuperVision multi-camera system in mass production. For its Chauffeur platform targeting L3-L4 "eyes-off" highway autonomous driving by 2027, Mobileye employs a "redundancy philosophy"—integrating imaging radars, road intelligence technologies, and multi-sensor subsystems to minimize failure rates while maintaining cost efficiency. 

Mobileye's Approach - Compound AI System vs. End to End

Amid industry fixation on end-to-end smart driving solutions, Mobileye stakes its claim through Compound AI Systems. What sets Mobileye apart from companies pursuing "end-to-end" solutions is its philosophy: while there is rhetoric that end-to-end systems alone can solve all problems, Mobileye believes redundancy is essential. End-to-end could be one path in Mobileye's integrated approach, but it is not sufficient, as additional paths are also needed to create parallel subsystems to achieve redundancy. This involves not only diverse sensors but also distinct algorithms. Thus, "end-to-end" is just one element in the Compound AI System defined by Mobileye.

A Hidden Bridge for Chinese Auto Brands Going Global

With China's auto market surging as both innovation hub and export powerhouse, Mobileye has deepened collaborations with many Chinese local auto brands, integrating its solutions into mass-produced vehicles while serving as a "hidden bridge" for Chinese automakers' global expansion. "This year, we are going to have about 40% growth in China, in terms of our ADAS offering," Prof. Amnon Shashua emphasizes. 

Anchored in "Physical AI"

Looking beyond the automotive industry, the professor-entrepreneur—whose ventures span multiple AI frontiers—positions Mobileye at the forefront of "Physical AI".

"AI is really in our DNA," Prof. Amnon Shashua stresses. As artificial intelligence permeates the physical world, the company eyes expansion into broader domains, including robotics. Within a decade, the professor predicts, "eyes-off" autonomous driving will transition from novelty to norm, rewriting human-machine collaboration—a revolution already embedded in Mobileye's technological foundation. 

In this episode of Gasgoo C Talk, we will engage in a discussion with Prof. Amnon Shashua to explore Mobileye's strategic positioning both globally and in China, how the company helps Chinese automakers balance cost and performance, and how it enables them to take on challenges on the world stage. We will also delve into Mobileye's ten-year technological roadmap and examine how it leverages cutting-edge AI technologies to drive continuous innovation in smart mobility, helping automakers achieve true competitive differentiation.