most citedPhysical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CV2024★ 2 cited

Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving

Junhao Zheng, Chenhao Lin, Jiahao Sun +3

Deep learning-based monocular depth estimation (MDE), extensively applied in autonomous driving, is known to be vulnerable to adversarial attacks. Previous physical attacks against…