A RFID-enabled positioning system in automated guided vehicle for smart factories

Lu, Shao-Ping; Xu, Chen; Zhong, Ray Y.; Wang, Lihui

doi:10.1016/j.jmsy.2017.03.009

Cited by 111 publications

(50 citation statements)

References 33 publications

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“…Accurate positioning systems are required for a wide variety of applications such as guided museum tours [7], navigation in large malls [8] or office spaces, see-in-the-dark capabilities for firefighters and law enforcement, IoT device tracking [9], personnel tracking, and accurate positioning of equipment for automation in smart factories [10], [11].…”

Section: Introductionmentioning

confidence: 99%

Position Locationing for Millimeter Wave Systems

Kanhere¹,

Rappaport²

2018

2018 IEEE Global Communications Conference (GLOBECOM)

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The vast amount of spectrum available for millimeter wave (mmWave) wireless communication systems will support accurate real-time positioning concurrent with communication signaling. This paper demonstrates that accurate estimates of the position of an unknown node can be determined using estimates of time of arrival (ToA), angle of arrival (AoA), as well as data fusion or machine learning. Real-world data at 28 GHz and 73 GHz is used to show that AoA-based localization techniques will need to be augmented with other positioning techniques. The fusion of AoA-based positioning with received power measurements for RXs in an office which has dimensions of 35 m by 65.5 m is shown to provide location accuracies ranging from 16 cm to 3.25 m, indicating promise for accurate positioning capabilities in future networks. Received signal strength intensity (RSSI) based positioning techniques that exploit the ordering of the received power can be used to determine rough estimates of user position. Prediction of received signal characteristics is done using 2-D ray tracing.

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Section: Introductionmentioning

confidence: 99%

Position Locationing for Millimeter Wave Systems

Kanhere¹,

Rappaport²

2018

2018 IEEE Global Communications Conference (GLOBECOM)

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“…RFID technology is commonly used for inventory tracking and less frequently for localization and positioning applications. Researchers in [26] and [27], studied and developed RFID-based indoor location tracking systems for AGVs. For positioning applications, location information can be stored on the RFID tags, which can be placed on the floors, ceilings, and throughout the area where UVs are operating.…”

Section: Radio Frequency Identification (Rfid)mentioning

confidence: 99%

Enabling Communication Technologies for Automated Unmanned Vehicles in Industry 4.0

Fellan

Schellenberger

Zimmermann

et al. 2018

2018 International Conference on Information and Communication Technology Convergence (ICTC)

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Within the context of Industry 4.0, mobile robot systems such as automated guided vehicles (AGVs) and unmanned aerial vehicles (UAVs) are one of the major areas challenging current communication and localization technologies. Due to stringent requirements on latency and reliability, several of the existing solutions are not capable of meeting the performance required by industrial automation applications. Additionally, the disparity in types and applications of unmanned vehicle (UV) calls for more flexible communication technologies in order to address their specific requirements. In this paper, we propose several use cases for UVs within the context of Industry 4.0 and consider their respective requirements. We also identify wireless technologies that support the deployment of UVs as envisioned in Industry 4.0 scenarios.

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“…In this process, localization is essential to the autonomous navigation of the AGV. Therefore, designing a set of AGV real-time localization system is of great significance to realize the automation of the AGV and improve its flexibility and reliability [2,3].…”

Section: Introductionmentioning

confidence: 99%

AGV Localization System Based on Ultra-Wideband and Vision Guidance

Luo

Jiang

2020

Electronics

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Aiming at the problems of low localization accuracy and complicated localization methods of the automatic guided vehicle (AGV) in the current automatic storage and transportation process, a combined localization method based on the ultra-wideband (UWB) and the visual guidance is proposed. Both the UWB localization method and the monocular vision localization method are applied to the indoor location of the AGV. According to the corner points of an ArUco code fixed on the AGV body, the monocular vision localization method can solve the pose information of the AGV by the PnP algorithm in real-time. As an auxiliary localization method, the UWB localization method is called to locate the AGV coordinates. The distance from the tag on the AGV body to the surrounding anchors is measured by the time of flight (TOF) ranging algorithm, and the actual coordinates of the AGV are calculated by the trilateral centroid localization algorithm. Then, the localization data of the UWB is corrected by the mean compensation method to obtain a consistent and accurate localization trajectory. The experiment result shows that this localization system has an error of 15mm, which meets the needs of AGV location in the process of automated storage and transportation.Electronics 2020, 9, 448 2 of 15 continuous development of the field of intelligent manufacturing, higher requirements for AGV localization accuracy and flexible configuration were introduced, navigation methods such as visual navigation [11][12][13], QR code navigation [14][15][16], and SLAM navigation [17][18][19] have appeared. Zhang Jianpeng [20] and He Zhen et al. [21] position AGV with visual guidance. Literature [20] proposed a multi-window real-time ranging and localization method using a circular mark on the ground as a localization identifier, with high localization accuracy. Literature [21] proposed a method to measure the pose of AGV by using binocular vision. It can predict and locate the circular landmarks on the edge of the ground guideline with high accuracy. Zhang Haoyue et al. [22] established a large-capacity QR code as an artificial landmark, matched the vision sensor to achieve accurate AGV localization, and had small repeat errors.The method described above can achieve AGV localization only use a single localization technique. Based on the existing navigation methods, two or more navigation methods are merged to realize a complementary advantage of different navigation methods. This hybrid method becomes increasingly normalized in order to accurately navigate for the AGV localization. Literature [23] proposed a novel adaptive fault-tolerant multisensor navigation strategy for automated vehicles on the automated highway system. Literature [24] proposed an AGV navigation system based on GPS/DR information fusion, making GPS signal and DR signal mutually compensate for each other.The localization of the AGV dedicated to the state-of-the-art is SLAM. It can help the AGV to build an indoor environment map for the completely unknown indoor environment through co...

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A RFID-enabled positioning system in automated guided vehicle for smart factories

Cited by 111 publications

References 33 publications

Position Locationing for Millimeter Wave Systems

Position Locationing for Millimeter Wave Systems

Enabling Communication Technologies for Automated Unmanned Vehicles in Industry 4.0

AGV Localization System Based on Ultra-Wideband and Vision Guidance

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