C-V2X Supported Automated Driving

M. Kutila, P. Pyykönen, Qing Huang, Wei Deng, Wenhui Lei, Emmanuel Pollakis
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引用次数: 14

Abstract

Automated driving is expected to improve road safety and traffic efficiency. Host vehicle onboard sensing systems typically sense the environment up to 250 m ahead of the vehicle. Today's LiDARs can see approximately 120 m, and recognition of small objects, such as animals or dropped cargo, however, today reliably drop when range is more than 50m. Connected driving adds an electronic horizon to the onboard sensing system which could extend the sensing range and greatly improves the efficiency. Therefore, collaborative sensing in which the vehicle exchanges not only status messages but also real data has recently been intensively discussed. Current cellular 3G/4G networks have enhanced the downlink capacity for sharing large data blocks. However, uplink is limited and therefore vehicles are unable to share point clouds of what they see in front. This article investigates the opportunities of 5G-based cellular vehicle-to-everything (C-V2X) collaborative sensing based on the results of trials conducted at test sites in China and Finland. The results indicate that the round-trip is stable (< 60 ms) even when exchanging 1 MB/s between vehicles. Finally, the automotive industry perspective is taken into account in identifying and prioritizing potential use case scenarios for utilizing 5G based connected driving applications.
C-V2X支持自动驾驶
自动驾驶有望提高道路安全和交通效率。主机车载传感系统通常可以感知车辆前方250米的环境。如今的激光雷达可以看到大约120米的范围,而对小物体(如动物或掉落的货物)的识别能力在超过50米的范围内就会下降。网联驾驶在车载传感系统中加入了电子地平线,扩大了传感范围,大大提高了效率。因此,车辆不仅交换状态信息,而且交换真实数据的协同传感最近得到了广泛的讨论。目前的蜂窝3G/4G网络已经增强了共享大数据块的下行容量。然而,上行链路是有限的,因此车辆无法共享他们前面看到的点云。本文基于在中国和芬兰测试站点进行的试验结果,研究了基于5g的蜂窝车对一切(C-V2X)协同传感的机会。结果表明,即使在车辆之间交换1 MB/s的情况下,往返也很稳定(< 60 ms)。最后,在确定和优先考虑利用基于5G的互联驾驶应用的潜在用例场景时,考虑了汽车行业的观点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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