Method Makes More Data Available for Training Self-Driving Cars (IMAGE)

Carnegie Mellon University

Method Makes More Data Available for Training Self-Driving Cars

Caption

A technique called scene flow can be used to predict the future position of a cyclist by comparing the current lidar point cloud of a street scene, in green, with the point cloud from the previous time step in the sequence, shown in red. Carnegie Mellon University researchers have developed a method that increases the amount of data available for training such systems.

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Carnegie Mellon University

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