Invisible for both camera and lidar: Security of multi-sensor fusion based perception in autonomous driving under physical-world attacks

Y Cao, N Wang, C Xiao, D Yang, J Fang… - … IEEE symposium on …, 2021 - ieeexplore.ieee.org
In Autonomous Driving (AD) systems, perception is both security and safety critical. Despite
various prior studies on its security issues, all of them only consider attacks on camera-or …
被引用次数：177 相关文章

Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks

Y Cao, N Wang, C Xiao, D Yang, J Fang… - 2021 IEEE Symposium …, 2021 - computer.org
Abstract In Autonomous Driving (AD) systems, perception is both security and safety critical.
Despite various prior studies on its security issues, all of them only consider attacks on …

[引用][C] Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks

Y Cao, N Wang, C Xiao, D Yang, J Fang… - 2021 IEEE Symposium …, 2021 - cir.nii.ac.jp
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in
Autonomous Driving Under Physical-World Attacks | CiNii Research CiNii 国立情報学研究所 …

Invisible for both Camera and LiDAR: Security of multi-sensor fusion based perception in autonomous driving under physical-world attacks

Y Cao, N Wang, C Xiao, D Yang, J Fang… - … IEEE Symposium on …, 2021 - experts.illinois.edu
Abstract In Autonomous Driving (AD) systems, perception is both security and safety critical.
Despite various prior studies on its security issues, all of them only consider attacks on …

Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks

J Fang, R Yang, QA Chen, M Liu, B Li - arXiv preprint arXiv:2106.09249, 2021 - arxiv.org
In Autonomous Driving (AD) systems, perception is both security and safety critical. Despite
various prior studies on its security issues, all of them only consider attacks on camera-or …

Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks

Y Cao, N Wang, C Xiao, D Yang, J Fang, R Yang… - 2021 - openreview.net
In Autonomous Driving (AD) systems, perception is both security and safety critical. Despite
various prior studies on its security issues, all of them only consider attacks on cameraor …

Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks

Y Cao, N Wang, C Xiao, D Yang, J Fang… - IEEE Symposium on …, 2021 - par.nsf.gov
In Autonomous Driving (AD) systems, perception is both security and safety critical. Despite
various prior studies on its security issues, all of them only consider attacks on cameraor …

Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks

J Fang, R Yang, QA Chen, M Liu, B Li - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Abstract In Autonomous Driving (AD) systems, perception is both security and safety critical.
Despite various prior studies on its security issues, all of them only consider attacks on …

Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks

Y Cao, N Wang, C Xiao, D Yang, J Fang… - 2021 IEEE Symposium …, 2021 - computer.org
Abstract In Autonomous Driving (AD) systems, perception is both security and safety critical.
Despite various prior studies on its security issues, all of them only consider attacks on …

Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks

Y Cao, N Wang, C Xiao, D Yang, J Fang, R Yang… - 2021 - openreview.net
In Autonomous Driving (AD) systems, perception is both security and safety critical. Despite
various prior studies on its security issues, all of them only consider attacks on cameraor …