Mobileye is bringing its autonomous vehicle test fleets to at least four more cities in 2021 – ClearTips

Mobileye, a subsidiary of Intel, is expanding its autonomous vehicle program and plans to launch test fleets in at least four more cities over the next several months, including Detroit, Paris, Shanghai and Tokyo.

Amano Shashua, president and CEO of Mobileye said on Monday during the Virtual 2021 CES Tech Trade suggests that if the company can get regulatory approval it will begin testing on public roads in New York City.

The announcement of the expansion, along with details about a new LIDAR system on the chip product that is under development and will hit the market in 2025, shows Mobile’s ambitions for the commercialization of automated vehicle technology.

The selection of cities and countries is based on two factors: the customer and regulatory environment, according to Jack White, a senior chief engineer at Intel and vice president of automated vehicle standards at Mobileye.

“So we put our cars in Silicon Valley in the US instead of Silicon Valley,” Vestat said in an interview on Monday, as Peugeot Renault is in Paris and Toyota and Nissan are in Japan. “Our selection of cities was a lot for our customers to own vehicles, so that they all had the opportunity to experience technology as we expect our OEM customers to continue to be an important part of our business. , Even when we supply a complete self driving system. “

According to the company, a test fleet is already on the road in Detroit. Mobileye launched its first test fleet in Jerusalem in 2018 and added one in Munich in 2020.

Mobileye combines a complete self-driving stack that is taking a three-pronged strategy to develop and deploy automated vehicle technology – including redundant sensing subsystems based on camera, radar and LIDAR technology – with its REM mapping system and with a Rule-based responsibility-sensitive security (RSS) driving policy. Mobileye’s REM mapping system essentially crowdsources data by tapping into nearly 1 million vehicles equipped with its technology to create high-definition maps, which can be used to support ADAS and autonomous driving systems. Shashua said that mobile technology can now automatically map the world and track approximately 8 million kilometers daily and a distance of about 1 billion kilometers has been completed.

Shashua said that this strategy would allow the company to launch and operate commercial robotaxi services efficiently and at the same time bring the technology to consumer passenger vehicles by 2025.

Mobileye has long dominated a niche in the automotive world as a developer of computer vision sensor systems that help prevent collisions. In 2018, the company expanded its focus beyond being the only supplier to become a robotxy operator; It is now aiming to bring autonomous vehicle technology to passenger cars by developing its computer vision technology with the new LIDAR SoC, which is developing with Intel.

Mobileye has already partnered with Luminar to supply LIDAR for its Robotaxis. However, Mobileye revealed more about the Lidar SoC that it says will be ready for passenger vehicles by 2025. Neither Shashua nor Weast would say that if it planned to end its partnership with Lumineer, its own Lidar SoC was ready for the market.

LIDAR, which will use Intel’s exclusive Silicon Photonics fab, is notable because Mobileye is known for its camera-based technology. And yet it is not retreating from that camera-first approach. Shashua explained that Mobileye believes the best technical and business approach is to develop a camera-first system and use LIDAR and radar as add-ons for redundancy.

“The idea is that you have this camera subsystem,” Shashua said. “Since it’s camera-based, it’s at the consumer price level. So now you have scalable thinking. And this scalable thinking is really a treat to maintain for a long time until level four becomes ubiquitous.”

Shashua pointed to his long-term high-volume agreement with Geely Auto for advanced driver-assistance systems, for example how the camera-first approach could be adapted later. Lidar and radar can be combined to support more automation capabilities once the market is ready.

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