RFID aided SINS integrated navigation system for lane applications

Wang, Qi; Yang, Chang song; Wu, Shaoen

doi:10.1504/ijes.2020.108328

Cited by 2 publications

(2 citation statements)

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“…For some functions that can only be realized by 3D GIS technology, they must also be realized by 3D GIS technology. For example, in order to more intuitively understand the results of spatial query and analysis and improve the level of spatial analysis, it is necessary to restore the 3D spatial relationship and carry out perspective display [15]. Combining two-dimensional GIS and three-dimensional GIS, two-dimensional GIS and three-dimensional GIS operate alternately, rather than a single one.…”

Section: Methodsmentioning

confidence: 99%

Application of 3D Virtual Reality Sensor in Tourist Scenic Navigation System

Deng¹

2022

Journal of Sensors

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In order to solve the application of 3D virtual reality technology in the practical development of scenic spot navigation system, this paper proposes a scenic spot navigation system based on multimedia technology and component geographic information system (ComGIS). The system takes Visual Basic 6.0, MapObjectst2.4, and GeoLOD 4.0 as the development platform and develops the tourism navigation system based on component GIS and multimedia technology, which manages nonspatial data with access 2003. The results are as follows: the path length designed by the system in this paper and the three compared navigation apps is 1.56 km, respectively. Although the path designed in this paper is not the shortest, the number of scenic spots passed by this path is up to 6; The accuracy of the navigation system designed in this paper is 97.2%, about 5% higher than that of similar navigation APPs; 55.2% of users felt that the navigation system designed in this paper was excellent. The results show that the system can basically meet the needs of tourists, hoping to promote the information construction of tourism.

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Section: Methodsmentioning

confidence: 99%

Application of 3D Virtual Reality Sensor in Tourist Scenic Navigation System

Deng¹

2022

Journal of Sensors

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“…RFID is a technical means that enables physical objects to communicate with each other in reality, and has a very important position in areas such as positioning targets. Wang et al (2021) [15] deemed that RFID had the advantages of high accuracy, large transmission range, low cost, non-contact, and non-line-of-sight, and was a research object suitable for indoor positioning technology. The research of Unterhuber et al (2020) [16] showed that the accuracy of RFID was higher than that of voltage identification (VID), and the range of discrimination was much greater than that of VID.…”

Section: Adoption Status Of Radio Frequency Identification Technology In Robot Positioningmentioning

confidence: 99%

Tennis Robot Design via Internet of Things and Deep Learning

Wang

2021

IEEE Access

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To efficiently integrate deep learning (DL) and Internet of Things (IoT) with tennis robot research, the concept and characteristics of mask region-convolutional neural network (Mask R-CNN) under DL are analyzed. Then, the IoT radio frequency identification (RFID) is introduced and the suitable RFID structure is established. Moreover, the real-time intelligent image recognition tennis robot is designed, and simulation experiment on the robot is performed. The results show that when the positioning label is eight, the convergence speed of the optimized algorithm is improved relative to the unoptimized one, and the error is reduced by 0.82. The positioning algorithm proposed in this research has high convergence speed and small system error. The positioning accuracy of the tennis robot is improved by at least 6%, the positioning targets are close to the target to be located, and the tennis robot has the best shortest path effect. In addition, the tennis recognition algorithm based on Mask R-CNN can accurately distinguish dense tennis balls with high accuracy. It shows that the tennis robot positioning algorithm and target recognition algorithm proposed in this research are of practical adoption value.

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RFID aided SINS integrated navigation system for lane applications

Cited by 2 publications

References 0 publications

Application of 3D Virtual Reality Sensor in Tourist Scenic Navigation System

Application of 3D Virtual Reality Sensor in Tourist Scenic Navigation System

Tennis Robot Design via Internet of Things and Deep Learning

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