丢包和时延对V2X数据融合的影响

Tzu-Kuang Lee, Jen-Jee Chen, Y. Tseng, Cheng-Kuan Lin
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引用次数: 4

摘要

传感数据融合是自动驾驶领域的重要技术之一。它的性能取决于先进的通信技术。蜂窝车对一切(C-V2X)在3GPP第14版中最初被定义为LTE V2X,是一种车辆通信解决方案,包括车辆对基础设施(V2I)、车辆对人(V2P)和车辆对车辆(V2V)。虽然4G LTE和5G提供高速传输,但丢包和延迟仍然不可避免。丢包和时延影响自动驾驶的安全性,特别是对紧急情况的判断。本文在模拟平台CALAR上,比较了不同丢包率和广播频率下的数据融合精度。我们提出一种技巧来提高准确性。实验表明,该技术显著缓解了通信丢包和时延对V2X数据融合精度的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effect of Packet Loss and Delay on V2X Data Fusion
Sensing data fusion is one of the most important technologies in autonomous driving. Its performance depends on advance communication technology. Cellular-Vehicle to Everything (C-V2X) initially defined as LTE V2X in 3GPP Release 14 is a solution for vehicle communication that includes Vehicle-to-Infrastructure (V2I), Vehicle-to-person (V2P), and Vehicle-to-Vehicle (V2V). Although 4G LTE and 5G provides high-speed transmission, packet loss and delay are still inevitable. Packet loss and delay affect the safety of autonomous driving, especially for the judgment of emergency. In this paper, we compare the accuracy of data fusion under different rate of packet loss and broadcast frequency on the simulated platform CALAR. And we propose a skill to improve accuracy. Experiments show that the proposed skill significantly alleviates the effect of communication packet loss and delay on the accuracy of V2X data fusion.
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