The obstacle was hidden from an unmanned vehicle using a laser

An international team of scientists has demonstrated for the first time the ability to remove obstacle information from

using laser from lidar data. This vulnerability affects the security of using autonomous vehicles.

In their work, scientists have shown thatArtfully timed lasers aimed at an approaching lidar system can create a blind spot in front of a vehicle large enough to completely obscure moving pedestrians and other obstacles.

Attack scheme. Sara Rampazzi, University of Florida

The deleted data makes cars think the road is safe and they can keep going. As a result of such an attack, all objects located in the blind zone are endangered.

Lidar works by emitting laser light andcapturing reflections to calculate distances, much like bat echolocation uses sonic echoes. The attack creates false reflections, and the system can be configured so that it will perceive only false signals, ignoring incoming information about the real obstacle. 

During the experiments, the researchers were able todelete data, both static and moving objects. At the same time, when receiving a false signal, the unmanned vehicle actually continued to move, ignoring the “pedestrians”.


Removing pedestrian data using lidar attack. Video: Sara Rampazzi, University of Florida

Scientists believe that the vulnerability can be fixed with small software updates that will teach the system to detect and ignore fake signals.

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