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GM Tests Mobileye Mapping, Pushing Autonomous Driving

January 05, 2016

Photo courtesy of the General Motors.
Photo courtesy of the General Motors.

General Motors is testing new mapping technology from Mobileye that can use crowd-sourced real-time data collected by OnStar for localization and high definition lane data that could support fully autonomous driving.

GM is Mobileye’s largest customer and is engaged with Mobileye's Road Experience Management (REM) program to create a continuously updated road map. Mobileye’s existing EyeQ processing platforms extract landmarks and roadway information at extremely low bandwidth of about 10kb per kilometer.

GM uses Mobileye software on cameras that support existing safety technologies like forward collision alert. 

“Cameras are the most natural sensors for creating maps because they are already available in most new car models as part of the trend toward growing driver assistance deployment,” said Amnon Shashua, co-founder, chairman and chief technical officer of Mobileye. “Creating and updating maps using on-board camera technology supplies the missing link between on-board sensing and the requirement for full redundancy to enable safe autonomous driving.”

Mobileye expects to eventually achieve localization at an accuracy of about 10 centimeters compared with today’s GPS, which can pinpoint to about 10 meters.

GM has collaborated on camera technology with Mobileye for a decade beginning with lane departure warning systems launched in 2007.

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