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Ford Establishes Latitude AI to Develop Automated Driving Tech

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Ford Motor Co. has established Latitude AI, a wholly owned subsidiary focused on developing a hands-free, eyes-off-the-road automated driving system. The formation of the company comes as Ford continues making advancements to its hands-free highway driving feature, Ford BlueCruise, which already has accumulated more than 50 million miles of hands-free driving, the company said.

Establishing Latitude supports Ford’s strategic shift last year to focus on automated driving technologies for personally owned vehicles, the company said. Ford hired about 550 employees formerly of Argo AI across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems, and safety engineering. The Latitude team has applied much of its experience in automated driving, including software development tools and infrastructure, in the pivot to work on advanced driver assist systems (ADAS).

Sammy Omari, executive director of ADAS Technologies at Ford, will serve as the CEO of Latitude. Peter Carr has been appointed CTO, and David Gollob has been named president.
Sammy Omari. Courtesy of Ford,
Sammy Omari, who serves as executive director of ADAS Technologies at Ford, will serve as the CEO of Latitude. Ford established the company as a wholly owned subsidiary focused on developing a hands-free, eyes-off-the-road automated driving system. Courtesy of Ford.
Latitude is headquartered in Pittsburgh with additional engineering hubs in Dearborn, Mich., and Palo Alto, Calif. The company also will operate a highway-speed test track facility in Greenville, S.C.
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Published: March 2023
Glossary
artificial intelligence
The ability of a machine to perform certain complex functions normally associated with human intelligence, such as judgment, pattern recognition, understanding, learning, planning, and problem solving.
machine vision
Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...
BusinessAutonomous drivingartificial intelligenceautonomous vehiclesFordautopilotADASeyes-off-the-roadLevel 4machine visionAmericasSensor fusion

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