基于激光雷达的点云目标检测安全性综述

项圣; 廖丹芯; 陈晋音; 郑海斌

doi:10.11959/j.issn.2096-109x.2025004

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基于激光雷达的点云目标检测安全性综述

综述 | 更新时间：2025-03-20

- 基于激光雷达的点云目标检测安全性综述
- Review on the safety of LIDAR-based point cloud object detection
- 网络与信息安全学报 2025年11卷第1期页码：20-39
- 作者机构：
  
  1.浙江工业大学信息工程学院，浙江杭州 310023
  2.浙江工业大学网络安全研究院，浙江杭州 310023
- 作者简介：
  
  [ "项圣（1993- ），男，浙江台州人，浙江工业大学讲师，主要研究方向为机器视觉、人工智能安全。" ]
  [ "廖丹芯（2000- ），女，广西北海人，浙江工业大学硕士生，主要研究方向为深度学习和人工智能安全。" ]
  [ "陈晋音（1982- ），女，浙江象山人，浙江工业大学教授，主要研究方向为人工智能安全、图数据挖掘和进化计算。" ]
  [ "郑海斌（1995- ），男，浙江台州人，浙江工业大学讲师，主要研究方向为深度学习、人工智能安全和图像识别。" ]
- 基金信息：
  
  浙江省自然科学基金(LDQ23F020001);国家自然科学基金(62072406;62406286);国家重点研发计划(2018AAA0100801)
- DOI：10.11959/j.issn.2096-109x.2025004
  中图分类号： TP183
- 收稿：2024-04-07，
  
  修回：2024-08-22，
  
  纸质出版：2025-02-25
- 稿件说明：
移动端阅览
项圣, 廖丹芯, 陈晋音, 等. 基于激光雷达的点云目标检测安全性综述[J]. 网络与信息安全学报, 2025, 11(1): 20-39.

XIANG S, LIAO D X, CHEN J Y, et al. Review on the safety of LIDAR-based point cloud object detection[J]. Chinese Journal of Network and Information Security, 2025, 11(1): 20-39.
项圣, 廖丹芯, 陈晋音, 等. 基于激光雷达的点云目标检测安全性综述[J]. 网络与信息安全学报, 2025, 11(1): 20-39. DOI： 10.11959/j.issn.2096-109x.2025004.

XIANG S, LIAO D X, CHEN J Y, et al. Review on the safety of LIDAR-based point cloud object detection[J]. Chinese Journal of Network and Information Security, 2025, 11(1): 20-39. DOI： 10.11959/j.issn.2096-109x.2025004.

摘要

激光雷达技术在自动驾驶、智能交通和环境感知等领域有着广泛应用。在自动驾驶系统中，利用机载摄像头和激光雷达等对周围环境进行感知，点云目标检测技术在环境感知方面发挥着重要的作用。近年来的研究指出，基于激光雷达的点云目标检测系统容易遭受欺骗攻击。然而，目前对基于激光雷达的点云目标检测的安全性问题的研究相对零散，设计的安全威胁场景、攻击方法和防御策略相互独立。基于现有研究工作，首次对基于激光雷达的点云目标检测的安全性进行了综述，主要关注该技术在实际应用中可能面临的安全挑战和解决方案。首先，全面回顾了基于激光雷达的目标检测和攻防理论；其次，从数字域和物理域双重视角分析了攻击方法，并对现有的防御策略进行了详尽的分类和总结；接着，介绍了该领域目前常用的数据集及评价标准；最后，结合面临的挑战和机遇，对基于激光雷达的目标检测安全的未来研究方向进行了总结和展望，为基于激光雷达的点云目标检测的安全研究的发展和应用提供参考。

Abstract

LiDAR technology has been widely applied in fields such as autonomous driving

intelligent traffic

and environmental perception. In autonomous driving systems

the surrounding environment was perceived using onboard cameras and LiDAR

with point cloud object detection playing a crucial role. Recent studies have indicated that point cloud object detection based on LiDAR was susceptible to deception attacks. However

research on the security issues of LiDAR-based object detection has been relatively scattered

with security threat scenarios

attack methods

and defense strategies being addressed independently. Based on existing research

the first comprehensive review of the security of LiDAR-based point cloud object detection was presented

focusing on the security challenges and solutions that the technology may face in practical applications. The theory of object detection and the principles of attack and defense based on LiDAR were comprehensively reviewed. Attack methods were analyzed from both the digital and physical domains

and existing defense strategies were classified and summarized in detail. Then

the commonly used datasets and evaluation criteria in this field were introduced. And considering the challenges and opportunities

a summary and outlook on future research directions in the security of LiDAR-based detection were provided

offering valuable insights for the development and application of secure research in LiDAR-based point cloud object detection.

关键词

Keywords

references

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