REITS: Reflective Surface for Intelligent Transportation Systems
REITS: Reflective Surface for Intelligent Transportation Systems
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DOI：
10.1145/3446382.3448650
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发表时间：
2020-10
期刊：
影响因子：
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通讯作者：
Zhuqi Li;Can Wu;S. Wagner;J. Sturm;N. Verma;K. Jamieson
中科院分区：
文献类型：
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作者：
Zhuqi Li;Can Wu;S. Wagner;J. Sturm;N. Verma;K. Jamieson
据预测，在可预见的未来，自动驾驶汽车将主导交通行业。安全是自动驾驶系统早期部署的主要挑战之一。为了确保安全，自动驾驶车辆必须准确、稳健和及时地感知和检测人类、其他车辆和道路基础设施。然而，自动驾驶车辆使用的现有传感技术可能并不绝对可靠。在本文中，我们设计了REITS系统，以提高基于射频的自动车辆传感模块的可靠性。对现有射频传感系统可能出现的故障进行了理论分析。在分析的基础上，REITS采用了多天线设计，使得建设性盲波束形成能够在入射方向上返回增强的雷达信号。REITs还可以通过在构造性波束形成状态和破坏性波束形成状态之间切换，让现有雷达系统感知识别信息。初步结果表明，REITS使自动驾驶汽车雷达的探测距离提高了3.63倍。
Autonomous vehicles are predicted to dominate the transportation industry in the foreseeable future. Safety is one of the major challenges to the early deployment of self-driving systems. To ensure safety, self-driving vehicles must sense and detect humans, other vehicles, and road infrastructure accurately, robustly, and timely. However, existing sensing techniques used by self-driving vehicles may not be absolutely reliable. In this paper, we design REITS, a system to improve the reliability of RF-based sensing modules for autonomous vehicles. We conduct theoretical analysis on possible failures of existing RF-based sensing systems. Based on the analysis, REITS adopts a multi-antenna design, which enables constructive blind beamforming to return an enhanced radar signal in the incident direction. REITS can also let the existing radar system sense identification information by switching between constructive beamforming state and destructive beamforming state. Preliminary results show that REITS improves the detection distance of a self-driving car radar by a factor of 3.63.