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Mobileye CEO Expects More Driverless Vehicles on the Road Within 2 Years - Carrier Management

Feb 13, 2024 - carriermanagement.com
Amnon Shashua, CEO of Mobileye, an Israeli company majority-owned by Intel, discusses the future of autonomous vehicles in an interview with The Associated Press. Shashua believes the future of the car industry is not just about robotaxis, but also about safety and productivity. He envisions a future where cars have multiple cameras and sensors for accident avoidance, and systems that allow drivers to legally not pay attention on certain roads, increasing productivity. He also sees the potential for robotaxis without drivers, which could make services like Uber and Lyft more efficient and economical.

Mobileye's SuperVision system, which provides a hands-free but eyes-on system, is already on about 200,000 vehicles in China and will expand to Europe and the U.S. this year. The company is also working on an eyes-off system for highways, with nine car models to be launched in 2026. Mobileye is also collaborating with Volkswagen on the ID. Buzz van to deploy thousands of such vehicles in 2026. Shashua also discusses the legal responsibility in case of an accident with an eyes-off system, stating that it would be handled between the supplier and the automaker.

Key takeaways:

  • Mobileye, an Israeli company majority owned by Intel, is developing partially automated driver-assist systems and fully autonomous technology, with systems already in use that handle some driving functions.
  • CEO Amnon Shashua sees the future of autonomous vehicles as a three-part story: improving safety with multiple cameras, enabling an eyes-off system with redundant sensors, and the advent of robotaxis.
  • Mobileye's SuperVision, a hands-free but eyes-on system, is already on about 200,000 vehicles in China and will expand to Europe and the U.S. this year. An eyes-off system and robotaxis are expected to be launched in 2026.
  • Shashua believes that Tesla's Autopilot and Full Self-Driving systems need additional sensors for redundancy, and that it's not just about improving algorithms and adding more compute.
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