scholarly journals A Fast and High-Accuracy Real-Time Visible Light Positioning System Based on Single LED Lamp With a Beacon

2020 ◽  
Vol 12 (6) ◽  
pp. 1-12
Author(s):  
Huaping Li ◽  
Hongbin Huang ◽  
Yongze Xu ◽  
Zhanhang Wei ◽  
Sichen Yuan ◽  
...  
Keyword(s):  
Visible Light ◽  
Real Time ◽  
High Accuracy ◽  
Positioning System

scholarly journals High-Accuracy and Real-Time Indoor Positioning System Based on Visible Light Communication and Mobile Robot

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Xianmin Li ◽  
Zihong Yan ◽  
Linyi Huang ◽  
Shihuan Chen ◽  
Manxi Liu
Keyword(s):  
Mobile Robot ◽  
Visible Light ◽  
Real Time ◽  
Indoor Localization ◽  
Visible Light Communication ◽  
High Accuracy ◽  
Market Potential ◽  
Location Based Services ◽  
Positioning System ◽  
Robot Positioning

For mobile robots and location-based services, precise and real-time positioning is one of the most basic capability, and low-cost positioning solutions are increasingly in demand and have broad market potential. In this paper, we innovatively design a high-accuracy and real-time indoor localization system based on visible light positioning (VLP) and mobile robot. First of all, we design smart LED lamps with VLC and Bluetooth control functions for positioning. The design of LED lamps includes hardware design and Bluetooth control. Furthermore, founded on the loose coupling characteristics of ROS (Robot Operator System), we design a VLP-based robot system with VLP information transmitted by designed LED, dynamic tracking algorithm of high robustness, LED-ID recognition algorithm, and triple-light positioning algorithm. We implemented the VLP-based robot positioning system on ROS in an office equipped with the designed LED lamps, which can realize cm-level positioning accuracy of 3.231 cm and support the moving speed up to 20 km/h approximately. This paper pushes forward the development of VLP application in indoor robots, showing the great potential of VLP for indoor robot positioning.

Real-time Demonstration of 5G MMW Beamforming and Tracking Using Integrated Visible Light Positioning System

2021 ◽  
Author(s):  
Chin-Wei Hsu ◽  
Shang-Jen Su ◽  
You-Wei Chen ◽  
Qi Zhou ◽  
Yahya Alfadhli ◽  
...  
Keyword(s):  
Visible Light ◽  
Real Time ◽  
Positioning System

Low-Cost Receiver and Network Real-Time Kinematic Positioning for use in Connected and Autonomous Vehicles

2019 ◽  
Vol 72 (04) ◽  
pp. 917-930
Author(s):  
Fang-Shii Ning ◽  
Xiaolin Meng ◽  
Yi-Ting Wang
Keyword(s):  
Real Time ◽  
Autonomous Vehicles ◽  
High Performance ◽  
Low Cost ◽  
Satellite System ◽  
High Accuracy ◽  
Future Trend ◽  
Intelligent Transport System ◽  
Positioning System ◽  
Gnss Receiver

Connected and Autonomous Vehicles (CAVs) have been researched extensively for solving traffic issues and for realising the concept of an intelligent transport system. A well-developed positioning system is critical for CAVs to achieve these aims. The system should provide high accuracy, mobility, continuity, flexibility and scalability. However, high-performance equipment is too expensive for the commercial use of CAVs; therefore, the use of a low-cost Global Navigation Satellite System (GNSS) receiver to achieve real-time, high-accuracy and ubiquitous positioning performance will be a future trend. This research used RTKLIB software to develop a low-cost GNSS receiver positioning system and assessed the developed positioning system according to the requirements of CAV applications. Kinematic tests were conducted to evaluate the positioning performance of the low-cost receiver in a CAV driving environment based on the accuracy requirements of CAVs. The results showed that the low-cost receiver satisfied the “Where in Lane” accuracy level (0·5 m) and achieved a similar positioning performance in rural, interurban, urban and motorway areas.

scholarly journals Multilateration Approach for Wide Range Visible Light Indoor Positioning System Using Mobile CMOS Image Sensor

2021 ◽  
Vol 11 (16) ◽  
pp. 7308
Author(s):  
Md Habibur Rahman ◽  
Mohammad Abrar Shakil Sejan ◽  
Wan-Young Chung
Keyword(s):  
Visible Light ◽  
Real Time ◽  
Indoor Positioning ◽  
Image Sensor ◽  
Computational Time ◽  
Positioning System ◽  
Horizontal Distance ◽  
Large Area ◽  
Positioning Systems ◽  
Wide Range

Visible light positioning (VLP) is a cost-effective solution to the increasing demand for real-time indoor positioning. However, owing to high computational costs and complicated image processing procedures, most of the existing VLP systems fail to deliver real-time positioning ability and better accuracy for image sensor-based large-area indoor environments. In this study, an effective method is proposed to receive coordinate information from multiple light-emitting diode (LED) lights simultaneously. It provides better accuracy in large experimental areas with many LEDs by using a smartphone-embedded image sensor as a terminal device and the existing LED lighting infrastructure. A flicker-free frequency shift on–off keying line coding modulation scheme was designed for the positioning system to ensure a constant modulated frequency. We tested the performance of the decoding accuracy with respect to vertical and horizontal distance, which utilizes a rolling shutter mechanism of a complementary metal-oxide-semiconductor image sensor. The experimental results of the proposed positioning system can provide centimeter-level accuracy with low computational time, rendering it a promising solution for the future direction of large-area indoor positioning systems.

scholarly journals High Precision Indoor Visible Light Positioning Algorithm Based on Double LEDs Using CMOS Image Sensor

2019 ◽  
Vol 9 (6) ◽  
pp. 1238 ◽  
Author(s):  
Weipeng Guan ◽  
Xinjie Zhang ◽  
Yuxiang Wu ◽  
Zekun Xie ◽  
Jingyi Li ◽  
...  
Keyword(s):  
Visible Light ◽  
Real Time ◽  
Computing Time ◽  
Computational Cost ◽  
Cmos Image Sensor ◽  
Indoor Positioning ◽  
Image Sensor ◽  
Positioning System ◽  
Satisfactory Performance ◽  
Positioning Algorithm

Visible Light Positioning (VLP) is widely recognized as a cost-effective solution for indoor positioning with increasing demand. However, the nonlinearity and highly complex relationship between three-dimensional world coordinate and two-dimensional image coordinate hinders the good performance of image-sensor-based VLP. Therefore, there is a need to develop effective VLP algorithms to locate the positioning terminal using image sensor. Besides, due to the high computational cost of image processing, most existing VLP systems do not achieve satisfactory performance in terms of real-time ability and positioning accuracy, both of which are significant for the performance of indoor positioning system. In addition, the accurate identification of the ID information of each LED (LED-ID) is important for positioning, because if the LED-ID is not recognized well, the positioning can only be achieved in a particular positioning unit and cannot be applied to a large scene with many LEDs. Therefore, an effective image-sensor-based double-light positioning system is proposed in this paper to solve the above problems. We also set up relevant experiments to test the performance of the proposed system, which utilizes the rolling shutter mechanism of the Complementary Metal Oxide Semiconductor (CMOS) image sensor. Machine learning was used to identify the LED-ID for better results. Simulation results show that the proposed double-light positioning system could deliver satisfactory performance in terms of both the real-time ability and the accuracy of positioning. Moreover, the proposed double-light positioning algorithm has low complexity and takes the symmetry problem of angle into consideration, which has never been considered before. Experiments confirmed that the proposed double-light positioning system can provide an accuracy of 3.85 cm with an average computing time of 56.28 ms, making it a promising candidate for future indoor positioning applications.

scholarly journals Indoor Real-Time 3-D Visible Light Positioning System Using Fingerprinting and Extreme Learning Machine

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 13875-13886 ◽  
Author(s):  
Yirong Chen ◽  
Weipeng Guan ◽  
Jingyi Li ◽  
Hongzhan Song
Keyword(s):  
Visible Light ◽  
Real Time ◽  
Extreme Learning Machine ◽  
Positioning System ◽  
Learning Machine

scholarly journals Visible Light Communication and Augmented Reality for Underground Positioning System

2020 ◽  
Vol 305 ◽  
pp. 00089 ◽  
Author(s):  
Simona Riurean ◽  
Marius Olar ◽  
Andreea Ionică ◽  
Lilla Pellegrini
Keyword(s):  
Augmented Reality ◽  
Visible Light ◽  
Real Time ◽  
Data Communication ◽  
Visible Light Communication ◽  
Data Interpretation ◽  
Positioning System ◽  
Wireless Data ◽  
Time Data ◽  
Wireless Data Transmission

Visible Light Communication (VLC) technology allows wireless data transmission piggybacked by illumination. Highly accurate and reliable systems based on VLC, as Indoor Positioning System (IPS) have been already developed by academics and specialized companies. Underground Positioning System (UPS) addressed here is embedded into the protection equipment, compulsory to be used underground, being therefore important to workers in potential dangerous spaces since fast data communication and real-time data interpretation is therefore possible. This paper presents the VLC technology implemented in mining underground specific environment for an accurate positioning and fast data communication for underground navigation with the main aim of developing a real time warning and alarming system based on Augmented Reality (AR) and Neural Networks (NNs) principles.

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