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Automobile Control Research Opens Door to New Safety Features

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lane detection visualization

NCSU researchers have written a program that uses algorithms to sort visual data and make decisions related to finding the lanes of a road, detecting how those lanes change as a car is moving, and controlling the car to stay in the correct lane.

Credit: North Carolina State University

North Carolina State University researchers have developed a computer vision program and plan to use it to drive a car. The program would enable a computer to make sense of the traffic in multiple road lanes that a video camera records, and keep a vehicle within a lane.

Professor Wesley Snyder and colleagues use algorithms to sort visual data and make decisions on finding the correct lanes, which might change as a car moves. "This research has many potential uses, such as the development of military applications related to surveillance, reconnaissance, and transportation of materials," Snyder says.

"This computer vision technology will also enable the development of new automobile safety features, including systems that can allow cars to stay in their lane, avoid traffic and gracefully react to emergency situations—such as those where a driver has fallen asleep at the wheel, had a heart attack or gone into diabetic shock," she says.

From NCSU News
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