协同自适应巡航控制的攻击弹性传感器融合

Pengyuan Lu, Limin Zhang, B. Park, Lu Feng
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引用次数: 6

摘要

协作式自适应巡航控制(CACC)有可能实现车辆列队行驶,并实现包括提高公路吞吐量和降低能耗在内的诸多好处。然而,传感器干扰或数据注入等恶意攻击会导致车辆队列的安全漏洞,并导致灾难性的碰撞。本文提出了一种基于CACC的车辆队列攻击弹性传感器融合方法,该方法利用多辆车辆提供的空间信息并结合传感器读数来实现更精确的估计。我们在一组具有不同CACC控制器和恶意攻击的模拟车辆队列实验中证明了该方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Attack-Resilient Sensor Fusion for Cooperative Adaptive Cruise Control
Cooperative adaptive cruise control (CACC) has the potential to enable vehicle platooning and achieve benefits including improved highway throughput and reduced energy consumption. However, malicious attacks such as sensor jamming or data injection can lead to security vulnerabilities of vehicle platooning and cause catastrophic crashes. We present a novel attack-resilience sensor fusion method for vehicle platooning with CACC, which exploits spatial information provided by multiple vehicles and combines sensor readings to achieve more precise estimation. We demonstrate the feasibility of our method in a set of simulated vehicle platooning experiments with different CACC controllers and malicious attacks.
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