Remote Attacks on Automated Vehicles Sensors : Experiments on Camera and LiDAR

By Jonathan Petit, Bas Stottelaar, Michael Feiri. 2015

461 citations recorded by the source corpus.

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Citations in the corpus

A survey of data fusion in smart city applications (2019, background): “Examples of such techniques can be found in [50], [207].”
RoboADS: Anomaly Detection Against Sensor and Actuator Misbehaviors in Mobile Robots (2018, background): “Firstly, for heterogeneous sensors, holding a vulnerability and a corresponding exploit which targets one sensing workﬂow is already costly [6], [9], not to mention corrupting all.”
Internet of vehicles in big data era (2018, background): “The IoV data security and privacy issues can also be a big concern for autonomous vehicles, as investigated in [136]−[138].”
Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving (2019, methodology): “attack can be performed by replaying the LiDAR laser pulses from a different position to create fake points further than the location of the spoofer [42].”
Edge Computing for Autonomous Driving: Opportunities and Challenges (2019, methodology): “The cameras are also interfered with infrared so the attackers use highbrightness IR laser to blind the cameras, thus preventing these cameras from providing effective images for the perception stage [103], [104].”
A Survey of IoT-Enabled Cyberattacks: Assessing Attack Paths to Critical Infrastructures and Services (2018, background): “Veriﬁed attacks in this category include [143] and [144].”
A Survey of Intrusion Detection for In-Vehicle Networks (2020, methodology): “presented remote cyberattacks on a camera-based system and LiDAR using commodity hardware [29].”