Eye care

Unnoticed eye movements can be key for better self-driving cars, says study – Prothom Alo English

However, classification improved significantly after training the network with shifted images, as long as the direction and size of the eye movements that resulted in the shift were also included.

In particular, adding the eye movements and their motor copies to the network model allowed the system to better cope with visual noise in the images. “This advancement will help avoid dangerous mistakes in machine vision,” said Benucci.

“With more efficient and robust machine vision, it is less likely that pixel alterations, also known as ‘adversarial attacks’, will cause, for example, self-driving cars to label a stop sign as a light pole, or military drones to misclassify a hospital building as an enemy target”, Benucci added.

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