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Mobileye CEO Shashua expects more self-driving cars to be on the road within two years due to advances in technology

Mobileye CEO Shashua expects more self-driving cars to be on the road within two years due to advances in technology


DETROIT (AP) – Six years ago, automakers and tech companies thought they were putting thousands of self-driving robotaxis on the road to ferry passengers without human drivers.

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Later, Uber's self-driving test vehicle hit and killed a pedestrian in Arizona, Tesla's partially automated system encountered multiple problems, and General Motors' Cruise robotaxi ran into trouble in San Francisco. .

Still, technology is advancing, said Amnon Shashua, Mobileye co-founder and CEO. Mobileye, an Israeli public company majority-owned by Intel, is pioneering partially autonomous driver assistance systems and fully autonomous driving technology.

Mobileye's systems are already operating in vehicles that perform some driving functions such as steering and braking, but humans still need to be ready to take over. Systems that allow drivers to take their eyes off the road and fully autonomous driving systems are expected to arrive within about two years.

Shashua spoke to The Associated Press about the next steps toward self-driving cars. The interview has been edited for length and clarity.

A: When we talk about self-driving cars, the companies that immediately come to mind are Waymo, Cruise, and robotaxis. But the story is more nuanced. It really reveals what the future of the auto industry will be. It's not just robotaxis. I would frame it as three stories. The first is safety. Today we have front-facing cameras and sometimes front-facing radar. There are features that can help you avoid accidents. Safety can be further increased by installing multiple cameras around the car, providing a higher level of safety. Accidents are extremely rare.

The second story is to add redundant sensors, such as front-facing lidar (lasers) like imaging radar, and start enabling eyes-off systems that provide hands-free eyes-off. It is legal to not be careful or responsible for driving on certain roads. You can also start with a highway and add secondary roads. This is a value proposition that buys back productivity, or time. If you drive from San Francisco to Los Angeles, you'll be on the interstate 90% of the time. You can relax and legally do something else, like work on your smartphone.

And this third story follows. This is a robotaxi without a driver. We're using cars to a higher level, and because we don't have drivers, we're making it more efficient and economical to move people around, like Uber and Lyft.

A: Mobileye's SuperVision, which is currently installed in approximately 200,000 vehicles in China and will begin expanding to Europe and the United States this year, has 11 cameras around the vehicle and is hands-free. While providing the icing system. The second episode of the Eyes Off Highway system is already in development. Mobileye announced that it is partnering with global Western he OEMs (original equipment manufacturers). We call this system the driver. Add front lidar and image radar, and add his 9 car models scheduled to be released in 2026.

Third story: If you look at Waymo's success, the challenges aren't technical. How you scale and build your business matters. The adoption of this type of robotaxis has been slower than originally expected five years ago. But that's what's happening. Mobileye is collaborating with Volkswagen regarding his ID. Buzz (van) will begin fielding thousands of similar vehicles in 2026.

A: If a driver is working on a smartphone and an accident occurs, you can come to the driver and say, “I made you do something else, so you're responsible.'' I can't go. This means that the system's performance metrics (we call it the mean time between failures) are very high, much higher than human statistics. It is an accountability system handled between suppliers and car manufacturers.

A: Tesla's technological capabilities are extremely high. It will be interesting to see if this type of system using only cameras will eventually become a reality. I say goodbye here. I believe additional sensors are needed for redundancy. It's not just a matter of improving algorithms and adding more compute. You need to create redundancy from a sensor perspective and from a computing perspective.




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