系统梳理自动驾驶全链路安全问题，指明研究空白与未来方向。
Achieving the Safety and Security of the End-to-End AV Pipeline
- 从感知到控制全链路分析安全风险，分模块梳理关键问题。
- 指出物理攻击防御与车辆控制安全间存在研究断层。
- 适合刚入局的学者快速掌握领域脉络与核心挑战。
当前自动驾驶（AV）安全与安全研究面临诸多孤立问题，因缺乏统一评估标准，多个重要研究议题相互矛盾。例如，虽有大量研究聚焦于欺骗感知系统的物理攻击，但对有效防御机制及安全车辆控制的下游影响关注不足。本文全面描述了当前自动驾驶安全与安全研究的现状，分别探讨了车辆监控、传感器系统可靠性、自动驾驶栈安全性、算法鲁棒性以及安全环境交互等核心问题。每个部分末尾提出尚未解决的关键研究问题。本文旨在为新手与资深研究者提供该领域的入门指南与研究指引。
原文摘要 · Abstract (English)
In the current landscape of autonomous vehicle (AV) safety and security research, there are multiple isolated problems being tackled by the community at large. Due to the lack of common evaluation criteria, several important research questions are at odds with one another. For instance, while much research has been conducted on physical attacks deceiving AV perception systems, there is often inadequate investigations on working defenses and on the downstream effects of safe vehicle control. This paper provides a thorough description of the current state of AV safety and security research. We provide individual sections for the primary research questions that concern this research area, including AV surveillance, sensor system reliability, security of the AV stack, algorithmic robustness, and safe environment interaction. We wrap up the paper with a discussion of the issues that concern the interactions of these separate problems. At the conclusion of each section, we propose future research questions that still lack conclusive answers. This position article will serve as an entry point to novice and veteran researchers seeking to partake in this research domain.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。