Achieving the Safety and Security of the End-to-End AV Pipeline
<|reference_start|>Achieving the Safety and Security of the End-to-End AV Pipeline: 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.<|reference_end|>
@article{curran2024achieving,
    title={Achieving the Safety and Security of the End-to-End AV Pipeline},
    author={Noah T. Curran, Minkyoung Cho, Ryan Feng, Liangkai Liu, Brian Jay
  Tang, Pedram MohajerAnsari, Alkim Domeke, Mert D. Pes'e, Kang G. Shin},
    journal={arXiv preprint arXiv:2409.03899},
    year={2024},
    doi={10.1145/3689936.3694694},
    archivePrefix={arXiv},
    eprint={2409.03899},
    primaryClass={cs.RO cs.CR}
}