Positioning Technology Research Articles

Research on the 3D indoor positioning technology based on feature light source

Nowadays, positioning technologies mainly consist of three methods: positioning based on satellites, positioning based on RF and positioning based on self-contained sensors. However, due to the complex propagation characteristics of wireless signals in indoor environments, the existing positioning technologies widely used in outdoor environments cannot meet the requirements of indoor applications. Compared to outdoor environments, indoor environments are more complex, and wireless signals are affected by various factors, making it difficult for existing indoor positioning systems to meet the requirements of high accuracy and low cost. Thus, a three-dimensional indoor positioning technology based on a characteristic light source and a spherical lighting device is proposed in this paper to solve the problems. The technology measures the angle of the optical signal through a spherical lighting device, which can receive light in all directions and obtain height information compared with flat mode. Pseudo-source interference caused by the wave nature of light will not be introduced with the use of the particle nature of light. Array layout and optimization algorithms can further improve positioning accuracy. A simulation experiment in Matlab is conducted. The experimental results and the analysis of accuracy confirmed that the positioning accuracy can be controlled within a small error. Three-dimensional indoor positioning technology can achieve high accuracy at a low cost.

An AOA Estimation Algorithm for 5G Positioning Technology

Among the many positioning technologies, AOA (Angle of Arrival), as one of the most basic wireless positioning technologies, can be fused with other positioning technologies to achieve higher positioning accuracy. In this paper, the principle and implementation process of the MUSIC algorithm are studied according to the application requirements of AOA estimation, and the improved MUSIC algorithm and the maximum likelihood method are fused to achieve a higher-precision MUSIC algorithm. The simulation results show that the fused algorithm shows a positive correlation with the relevant parameters (number of array elements, number of snapshots, etc.), which proves the effectiveness of the algorithm.

Research on the technology of intelligent vehicle sensor positioning system in autonomous driving

In this comprehensive exploration of positioning and navigation technologies, we have delved into the intricacies of GPS (Global Positioning System), IMU (Inertial Measurement Unit), and VPS (Visual Positioning Systems) systems, shedding light on their unique attributes and applications. GPS, a global satellite-based system, offers precise positioning on a worldwide scale, although it encounters challenges in complex urban and environmental conditions. Its role in navigation and tracking is undeniable. IMU, characterized by accelerometers and gyroscopes, excels in delivering high-precision positioning over short durations, making it invaluable for applications in aviation, robotics, and virtual reality. However, it is susceptible to drift over time. Visual Positioning Systems (VPS), harnessing computer vision and visual sensors, provide remarkable sub-meter to centimeter-level accuracy when conditions are optimal. Their significance is particularly pronounced in indoor navigation, augmented reality, and robotics, although they may face challenges in less favorable environments. These technologies are not isolated but can synergize to enhance accuracy and reliability. GPS and IMU collaborate to compensate for signal disruptions, while GPS and VPS join forces to tackle urban complexities. IMU and VPS integration offer precise indoor navigation and augmented reality experiences, delivering impeccable positioning and orientation data. Ultimately, the choice of technology hinges on specific application requirements, encompassing accuracy, environmental considerations, cost factors, and the need for complementary systems. As these technologies advance, they hold the promise of revolutionizing navigation across various domains, from autonomous vehicles to immersive augmented reality environments.

The Impact of Population Aging on a Country’s Global Value Chain Position: Unraveling the Dynamics and Mechanisms

ABSTRACT This article utilizes a novel approach by combining the export domestic value-added rate and export technology complexity to gain insights into a country’s comprehensive global value chain (GVC) position. Additionally, we incorporate psychological theories, specifically fluid intelligence and crystallized intelligence, to elucidate the impact of population aging on a country’s GVC position. The empirical results reveal that population aging has a positive and statistically significant effect on the comprehensive indicators of a country’s GVC position and export technology complexity. However, it exerts a negative and statistically significant influence on the export domestic value-added rates. These findings hold robustly across various tests conducted. Notably, we find that the influence of population aging on different GVC position indicators varies depending on the income level, degree of aging, and rate of aging acceleration.

Online calibration method for SINS/LDV integrated navigation system based on left group error definition

The integration of strapdown inertial navigation system (SINS) and laser Doppler velocimeter (LDV) is a reliable technology for land vehicle positioning. To ensure the best positioning performance of the SINS/LDV integrated navigation system, it is necessary to calibrate it accurately. However, the accuracy of the error model of the traditional calibration method is seriously affected by the large misalignment angle, which in turn affects the accuracy and consistency of the filtering, and eventually leads to the decline of the calibration accuracy. Therefore, this paper introduces the Lie group theory for the first time into the calibration study of the SINS/LDV integrated navigation system. Based on the error state vector defined by the left group error definition in the Lie group, the three calibration models of the SINS/LDV integrated navigation system are derived in the Earth-centered Earth-fixed frame, using velocity, displacement increment, and dead reckoning (DR) position, which are the three common observation information. The most significant advantage of these calibration models is their ability to handle large initial misalignment angles. The calibration models proposed in this paper are comprehensively evaluated by two long-distance vehicle experiments. The test results show that under normal conditions (no large attitude misalignment angle and all sensors are working properly), the Lie group-based calibration methods have similar performance to the traditional calibration method, but they have significant advantages in the case of large initial attitude deviation. In addition, using displacement increment and DR position as observations improves calibration performance compared to velocity.

Current Status and Future Trends of Meter-Level Indoor Positioning Technology: A Review

High-precision indoor positioning technology is regarded as one of the core components of artificial intelligence (AI) and Internet of Things (IoT) applications. Over the past decades, society has observed a burgeoning demand for indoor location-based services (iLBSs). Concurrently, ongoing technological innovations have been instrumental in establishing more accurate, particularly meter-level indoor positioning systems. In scenarios where the penetration of satellite signals indoors proves problematic, research efforts focused on high-precision intelligent indoor positioning technology have seen a substantial increase. Consequently, a stable assortment of location sources and their respective positioning methods have emerged, characterizing modern technological resilience. This academic composition serves to illuminate the current status of meter-level indoor positioning technologies. An in-depth overview is provided in this paper, segmenting these technologies into distinct types based on specific positioning principles such as geometric relationships, fingerprint matching, incremental estimation, and quantum navigation. The purpose and principles underlying each method are elucidated, followed by a rigorous examination and analysis of their respective technological strides. Subsequently, we encapsulate the unique attributes and strengths of high-precision indoor positioning technology in a concise summary. This thorough investigation aspires to be a catalyst in the progression and refinement of indoor positioning technologies. Lastly, we broach prospective trends, including diversification, intelligence, and popularization, and we speculate on a bright future ripe with opportunities for these technological innovations.

Path planning of substation inspection robot based on high-precision positioning and navigation technology

Abstract Outdoor substation is an important part of power system. Substation inspection robot based on intelligent autonomous inspection system has become the research focus of substation unmanned inspection. In order to improve the positioning accuracy and speed of the system, a high-precision positioning algorithm of transformer detection robot is proposed in this paper. Tikhonov regularization is used to correct the pathological problem of the localization algorithm model. The observation amount of the receiver is increased by using four signals of a single base station with double frequency and double antenna, and the position is solved by using single difference carrier phase observation and the integer ambiguity is fixed. The input–output mapping of the neural network is designed according to the information acquisition and two-wheel angular velocity control of the detection robot. Using the hyperbolic tangent function as the activation function of MLP neural network, the MLP neural network with 32 neurons in each of the three hidden layers is determined. By optimizing reinforcement learning reward function, adding scoring rules, and reward parameters, this paper carries out the following simulation exploration work. The high-precision positioning algorithm of transformer inspection robot is compared with the existing algorithm, and the superiority of the algorithm is verified. The basic motion ability of the robot installed with the system was tested.

GPS-Free Wireless Precise Positioning System for Automatic Flying and Landing Application of Shipborne Unmanned Aerial Vehicle.

This research is dedicated to developing an automatic landing system for shipborne unmanned aerial vehicles (UAVs) based on wireless precise positioning technology. The application scenario is practical for specific challenging and complex environmental conditions, such as the Global Positioning System (GPS) being disabled during wartime. The primary objective is to establish a precise and real-time dynamic wireless positioning system, ensuring that the UAV can autonomously land on the shipborne platform without relying on GPS. This work addresses several key aspects, including the implementation of an ultra-wideband (UWB) circuit module with a specific antenna design and RF front-end chip to enhance wireless signal reception. These modules play a crucial role in achieving accurate positioning, mitigating the limitations caused by GPS inaccuracy, thereby enhancing the overall performance and reception range of the system. Additionally, the study develops a wireless positioning algorithm to validate the effectiveness of automatic landing on the shipborne platform. The platform's wave vibration is considered to provide a realistic landing system for shipborne UAVs. The UWB modules are practically installed on the shipborne platform, and the UAV and the autonomous three-body vessel are tested simultaneously in the outdoor open water space to verify the functionality, precision, and adaptability of the proposed UAV landing system. Results demonstrate that the UAV can autonomously fly from 200 m, approach, and automatically land on the moving shipborne platform without relying on GPS.

3D Measurement of Particle Movement in a Silo Using Magnetic Positioning and Inertial Navigation Technologies

3D Measurement of Particle Movement in a Silo Using Magnetic Positioning and Inertial Navigation Technologies

Underwater Robots and Key Technologies for Operation Control

Over time, the utilization of the Underwater Vehicle-Manipulator System (UVMS) has steadily increased in exploring and harnessing marine resources. However, the underwater environment poses big challenges for controlling, navigating, and communicating with UVMS. These challenges have not only spurred the continuous advancement of related technologies, but also made the development of the UVMS even more captivating. This article firstly provides a review of development status of the UVMS and discusses the current limitations and future directions, and then reviews in detail the dynamic and hydrodynamic modeling methods, and analyzes the principles, advantages, and disadvantages of various approaches. Then, we try to review 2 key technologies of operation control methods, including underwater positioning and navigation technologies and vehicle-manipulator coordinated control approaches. Finally, a reasonable prospect for the future development of UVMS is given.

Agricultural Vehicle Automatic Navigation Positioning and Obstacle Avoidance Technology Based on ICP

Agricultural Vehicle Automatic Navigation Positioning and Obstacle Avoidance Technology Based on ICP

Pedestrian Simulation Challenges: Modeling Techniques and Emerging Positioning Technologies for ITS Applications

Pedestrian Simulation Challenges: Modeling Techniques and Emerging Positioning Technologies for ITS Applications

Mapping acceptance: micro scenarios as a dual-perspective approach for assessing public opinion and individual differences in technology perception.

Understanding public perception of technology is crucial to aligning research, development, and governance of technology. This article introduces micro scenarios as an integrative method to evaluate mental models and social acceptance across numerous technologies and concepts using a few single-item scales within a single comprehensive survey. This approach contrasts with traditional methods that focus on detailed assessments of as few as one scenario. The data can be interpreted in two ways: Perspective (1): Average evaluations of each participant can be seen as individual differences, providing reflexive measurements across technologies or topics. This helps in understanding how perceptions of technology relate to other personality factors. Perspective (2): Average evaluations of each technology or topic can be interpreted as technology attributions. This makes it possible to position technologies on visuo-spatial maps to simplify identification of critical issues, conduct comparative rankings based on selected criteria, and to analyze the interplay between different attributions. This dual approach enables the modeling of acceptance-relevant factors that shape public opinion. It offers a framework for researchers, technology developers, and policymakers to identify pivotal factors for acceptance at both the individual and technology levels. I illustrate this methodology with examples from my research, provide practical guidelines, and include R code to enable others to conduct similar studies. This paper aims to bridge the gap between technological advancement and societal perception, offering a tool for more informed decision-making in technology development and policy-making.

Pure Azimuth Passive Positioning Model of UAV Based On Dynamic Programming

In recent years, with the continuous development of electronic technology in the military field, passive positioning technology has become more and more important in the field of electronic countermeasures. At the same time, drone technology is widely used. When the drone swarm flies in formation, each drone will have its own fixed number, and the electromagnetic silence will be maintained during the flight to reduce the emission of electromagnetic wave signals and avoid the wrong information exchange between drones. The use of passive positioning technology can provide a new idea for UAV swarm orchestration queue, and through sensor technology and communication networking technology, UAV can be used as an air base station to achieve rapid positioning. Based on this idea, this paper establishes a pure azimuth passive positioning model based on the dynamic programming algorithm, and arranges UAV formations of different shapes, and studies the UAV position orchestration under different conditions.

Precise Shearer Positioning Technology Based on Interacting Multiple Model With Adaptivity and Robustness

Precise Shearer Positioning Technology Based on Interacting Multiple Model With Adaptivity and Robustness

Research on Space Positioning Technology of Microlens Array Based on Multi-Camera

Research on Space Positioning Technology of Microlens Array Based on Multi-Camera

Visible Light Positioning as a Next-Generation Indoor Positioning Technology: A Tutorial

Visible Light Positioning as a Next-Generation Indoor Positioning Technology: A Tutorial

Adaptive positioning technology of film cooling holes in hollow turbine blades

Film cooling technology is widely used in hollow turbine blades of aero-engine with a high thrust-to-weight ratio. The positioning accuracy of film cooling holes directly affects the uniformity and adhesion of the cooling film on blade surfaces. Two main factors affect the positioning accuracy of film cooling holes, i.e., the profile deformation of the blades during manufacturing and the blade clamping error in computer numerical control equipment. The positioning technology of film cooling holes has rarely been investigated. In this study, an adaptive positioning method is proposed to provide a reference for innovative research in this field. First, this study proposes a method for measuring and compensating blade clamping error based on the point cloud data of the entire blade surface obtained with optical scanning equipment by combining the rigid-body transformation theory and three-dimensional point cloud matching method. Second, owing to the complex overall deformation of the blade surface, this study innovatively focuses on the deformation of each slice from a local perspective. Furthermore, the deformation of each slice is decomposed into bending, torsion, and uneven shrinkage. The bending and torsion deformations are compensated based on the two-dimensional rigid-body matching method, while the remaining uneven shrinkage deformation is compensated by the position mapping method. The effectiveness and accuracy of the proposed method are qualitatively and quantitatively verified by the adaptive positioning results of film cooling holes in actual and test blades. The maximum spatial position and angle deviations are 0.0561 mm and 0.6946°, respectively.

Mapping Intelligence Concepts & Positioning Technology Intelligence: A Structural Topic Modelling Approach

Mapping Intelligence Concepts & Positioning Technology Intelligence: A Structural Topic Modelling Approach

Two periodization strategies in professional football and their influence on accumulated training load and its distribution: Differences between starters and non-starters

ABSTRACT This study compared weekly training-load (TL), training-monotony (TM), and training-strain (TS) in 80 professional football players (28.1 ± 3.2 yrs, 78.0 ± 5.9 kg, and 182.0 ± 4.8 cm), considering two lengths (6 and 7 days between matches), two types of periodization strategies (placing the compensatory session in MD+1 [P1] or MD+2 [P2] post-match-day) and two players’ status, starters, and non-starters. Using Global Positioning Technology, the monitored variables were: Player Load (PL), Total Distance (TD), distances at various speeds (>21 [HSR], >24 [VHSR], and > 27 [SPR] km·h−1), number of accelerations (>2 m·s−2, ACC), and decelerations (<-2 m·s−2, DEC). Kruskal-Wallis and Mann-Whitney non-parametric statistical tests were used for loading strategy differences. In both lengths and periodization strategies of the micro-cycles, non-starters trained more than starters. There were differences in the quantity (TL) and distribution (TM and TS) demand considering the micro-cycle’s length and periodization strategy. In MD+1 (P1), non-starters accumulated higher TL, showing moderate to large Cohen’s d magnitudes in HSR, VHSR, SPR, PL, and TD. For starters, training in MD+2 (P2) resulted in higher values (p < 0.05) of TL, TM and TS. The coaching staff needs to anticipate TL, TM, and TS by considering players’ status, periodization strategy, and the number of training sessions between matches.