Beyond 5G-assisted Automatic Guided Vehicles in Seaport Environments

被引：1

作者：

Torsoli, Gianluca ^{[1
,2
]}

Stracca, Stefano ^{[3
]}

Puleri, Marzio ^{[3
]}

Win, Moe Z. ^{[4
]}

Conti, Andrea ^{[1
,2
]}

机构：

[1] Univ Ferrara, Dept Engn, Via Saragat 1, I-44122 Ferrara, Italy

[2] Univ Ferrara, CNIT, Via Saragat 1, I-44122 Ferrara, Italy

[3] Ericsson Res, Via Giuseppe Moruzzi 1, I-56124 Pisa, Italy

[4] MIT, Lab Informat & Decis Syst, 77 Massachusetts Ave, Cambridge, MA 02139 USA

来源：

2023 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS, ICC WORKSHOPS | 2023年

基金：

美国国家科学基金会;

关键词：

5G; autonomous vehicles; localization; seaport; digital twin; LOCALIZATION;

D O I：

10.1109/ICCWORKSHOPS57953.2023.10283590

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Location awareness is vital for several fifth generation (5G) and beyond wireless applications. In particular, the use of 5G localization to assist or control automatic guided vehicles (AGVs) in seaport environments is a relevant use case conceived by the 3rd Generation Partnership Project (3GPP) standardization body. However, AGVs control systems require accurate localization, which is challenging in dynamic and cluttered environments like seaports. This paper proposes the use of soft information (SI)based localization for providing location awareness to assist the motion of AGVs. The localization and navigation performance is determined considering the digital twin of a real seaport environment. Results show that SI-based localization can provide reliable AGVs navigation in 5G and beyond seaport environments.

引用

页码：1038 / 1043

页数：6

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