演示:攻击自动驾驶中的激光雷达语义分割

Proceedings Fourth International Workshop on Automotive and Autonomous Vehicle Security Pub Date : 1900-01-01 DOI:10.14722/autosec.2022.23022

Yi Zhu, Chenglin Miao, Foad Hajiaghajani, Mengdi Huai, Lu Su, Chunming Qiao

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引用次数: 0

摘要

- LiDAR语义分割是自动驾驶的一项基础任务，旨在提供对驾驶环境的语义理解。我们证明了自动驾驶系统中现有的激光雷达语义分割模型可以通过在道路上放置一些简单的物体(如纸板和交通标志)来很容易地被愚弄。我们展示了这种类型的攻击可以隐藏车辆并将路面改变为路边的植被。

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Demo: Attacking LiDAR Semantic Segmentation in Autonomous Driving

—As a fundamental task in autonomous driving, LiDAR semantic segmentation aims to provide semantic understanding of the driving environment. We demonstrate that existing LiDAR semantic segmentation models in autonomous driving systems can be easily fooled by placing some simple objects on the road, such as cardboard and traffic signs. We show that this type of attack can hide a vehicle and change the road surface to road-side vegetation.

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Proceedings Fourth International Workshop on Automotive and Autonomous Vehicle Security

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