ALGORITHM TO DETECT AND MITIGATE REAL-TIME PERCEPTUAL ADVERSIAL ATTACKS ON AUTONOMOUS VEHICLES

A method for mitigating an adversarial attack includes receiving input data. The input data includes sensor data from a plurality of sensors and map data. The method further includes monitoring, in real time, an environment around an autonomous vehicle to identify a region that is possibly subject t...

Full description

Saved in:
Bibliographic Details
Main Authors Jafari Tafti, Sayyed Rouhollah, Bond, Jacob Alan
Format Patent
LanguageEnglish
Published 06.06.2024
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:A method for mitigating an adversarial attack includes receiving input data. The input data includes sensor data from a plurality of sensors and map data. The method further includes monitoring, in real time, an environment around an autonomous vehicle to identify a region that is possibly subject to an adversarial attack and determining a probability of the adversarial attack in the region. The method further includes determining whether the probability of the adversarial attack in the region that is possibly subject to the adversarial attack is greater than a predetermined threshold and, in response, planning a motion of the autonomous vehicle by taking into account the adversarial attack to generate a planned motion. The method further includes controlling a host vehicle to move in accordance with the planned motion.
Bibliography:Application Number: US202218061098