A State-of-the-Art Review on Attacks and Defense Mechanisms for LiDAR on Autonomous Vehicles

被引：0

作者：

Salguero-Luna, Sergio Alberto ^{[1
]}

Ramirez-Gutierrez, Kelsey Alejandra ^{[2
,3
]}

Martinez-Cruz, Alfonso ^{[2
,3
]}

机构：

[1] Inst Nacl Astrofis Opt & Electr, Comp Sci Dept, Puebla 72840, Mexico

[2] Inst Nacl Astrofis Opt & Electr, Consejo Nacl Human Ciencia & Tecnol CONAHCYT, Puebla 72840, Mexico

[3] Inst Nacl Astrofis Opt & Electr, Comp Sci Dept, Puebla 72840, Mexico

来源：

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS | 2025年 / 26卷 / 01期

关键词：

Laser radar; Sensors; Autonomous vehicles; Surveys; Cameras; Photodetectors; Global Positioning System; Reviews; Sensor systems; Semiconductor lasers; LiDAR; LiDAR attacks; LiDAR datasets; autonomous vehicles; security; CHALLENGES; PERCEPTION; SYSTEMS; VISION;

D O I：

10.1109/TITS.2024.3488432

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

Autonomous vehicles rely on their perception systems to understand their surroundings. However, the evolution of autonomous navigation technologies has led to new security issues. LiDAR sensors are crucial for autonomous vehicles, and this paper presents the first study that focuses exclusively on attacks and defense mechanisms on this device. This survey comparatively analyzes the attacks and mitigation techniques in state-of-the-art according to their complexity and robustness. The main LiDAR datasets in the literature are described, and trending approaches for future research directions based on the included solutions are discussed. Overall, this work provides a comprehensive overview of LiDAR attacks and their potential threats. It is an essential contribution to LiDAR security and will help to inform the development of countermeasures.

引用

页码：22 / 42

页数：21

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