New Stereo Camera uses Machine Learning to provide Automatic Emergency Braking (AEB) for Improved Safety

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New Stereo Camera uses Machine Learning to provide Automatic Emergency Braking (AEB) for Improved Safety

Hitachi Automotive has developed a stereo camera that enables Automatic Emergency Braking (AEB) at intersections. The newly designed camera offers an increased range of detection by widening the horizontal range of the stereo camera, unlike the conventional stereo cameras. Several features like centralized binocular detection through binocular vision, three-dimensional object detection through time-series image processing provided by the monocular vision in the periphery, the storage of identification patterns using machine learning methods are seamlessly integrated for the enhanced safety.

This newly launched stereo camera is designed to cater to the ever-growing need for technologies in the automobile sector to enhance driving safety, specifically at the intersections. The angle of view of the camera is three times wider compared to conventional stereo cameras and enables Automatic Emergency Braking when turning at intersections and maintains the Adaptive Cruise Control too.  The cruise control employs compatible distant object detection eliminating the need for a large increase in sensor pixels.

As of 2020, Automatic Emergency Braking (AEB) will be one of the main criteria in leading automotive safety performance assessment of the NCAP (New Car Assessment Programme). Sensor technologies with a horizontal, wide-angle view are important as they help in detecting pedestrians thereby avoiding the accidents when an automobile turns at an intersection. It is important to continuously detect vehicles ahead and a CMOS (Complementary Metal Oxide Semiconductor) with consistently high pixilation, the camera sensor, a combination of multiple sensors, including radar which detects objects in the surrounding area or at the distance.

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