Intel’s Mobileye to build a fleet of autonomous vehicles for testing



After completing its tender offer for Mobileye, Intel says that it is “poised to accelerate its autonomous driving business from car-to-cloud,” with the announcement that Mobileye will start building a fleet of fully autonomous (level 4 SAE) vehicles.

The initial vehicles will be deployed later on this year, and eventually, the fleet will expand to more than 100 automobiles.

The vehicles will be tested in the United States, Israel and Europe.

“Building cars and testing them in real-world conditions provides immediate feedback and will accelerate delivery of technologies and solutions for highly and fully autonomous vehicles,” says soon-to-be senior vice president of Intel Corporation and future CEO/CTO of Mobileye, Amnon Shashua.

“Our goal is to develop autonomous vehicle technology that can be deployed anywhere, which means we need to test and train the vehicles in varying locations.”

In an effort to deliver a complete “car-to-cloud” system, Mobileye's proprietary capabilities, which include computer vision, sensing, fusion, mapping and driving policy, will be combined with Intel’s “open compute platforms and expertise in data center and 5G communication technologies.”

To demonstrate the technology’s “agnostic nature,” multiple car brands and vehicle types will be included in the fleet.

“Delivering 100 test cars very quickly will demonstrate how this hybrid system can be adapted to meet customer needs,” Shashua adds.

The test fleet will provide current and prospective customers the opportunity to see how the hybrid system based on Mobileye and Intel technology functions in a real-world landscape.

The fleet will also serve as a “base to interact directly with regulators,” and it will “showcase novel concepts of mapping and safety validation,” both of which are geared towards scalability.

“Our customers will benefit from our ability to use this fleet to accelerate our technology development,” Shashua says.

“We want to enable automakers to deliver driverless cars faster while reducing costs – data we collect will save our customers significant costs.”

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