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

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

26 March 2024
Junhao Zheng
Chenhao Lin
Jiahao Sun
Zhengyu Zhao
Qian Li
Chao Shen
ArXivPDFHTML

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

5 / 5 papers shown
Title
LMDepth: Lightweight Mamba-based Monocular Depth Estimation for Real-World Deployment
LMDepth: Lightweight Mamba-based Monocular Depth Estimation for Real-World Deployment
Jiahuan Long
Xin Zhou
MDE
56
0
0
02 May 2025
Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios
Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios
Jingzheng Li
X. Liu
Shikui Wei
Zhijun Chen
Yangqiu Song
Qing-Wu Guo
Xianqi Yang
Yanjun Pu
Jiakai Wang
AAML
ELM
74
0
0
31 Mar 2025
Survey on Monocular Metric Depth Estimation
Survey on Monocular Metric Depth Estimation
Jiuling Zhang
VLM
69
0
0
21 Jan 2025
Camouflaged Object Tracking: A Benchmark
Camouflaged Object Tracking: A Benchmark
Xiaoyu Guo
Pengzhi Zhong
Hao Zhang
Ling Huang
Huikai Shao
Qijun Zhao
Shuiwang Li
57
2
0
25 Aug 2024
Dual Attention Suppression Attack: Generate Adversarial Camouflage in
  Physical World
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World
Jiakai Wang
Aishan Liu
Zixin Yin
Shunchang Liu
Shiyu Tang
Xianglong Liu
AAML
143
194
0
01 Mar 2021
1