"Autonomous Vehicle Technology Vulnerable to Road Object Spoofing and Vanishing Attacks"

A research team led by the University of California, Irvine (UCI) has demonstrated potentially dangerous vulnerabilities in Light Detection and Ranging (LiDAR) technology, which many autonomous vehicles use to navigate streets, roads, and highways. They showed how to use lasers to trick LiDAR into "seeing" objects that are not present while missing those that are. Lead author Takami Sato, a UCI Ph.D. candidate in computer science, and his colleagues investigated spoofing attacks on nine commercially available LiDAR systems. They found that first-generation and later-generation versions have security flaws. This article continues to discuss the team's findings regarding security flaws in first- and next-generation LiDAR systems.

The University of California reports "Autonomous Vehicle Technology Vulnerable to Road Object Spoofing and Vanishing Attacks"

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