GPS Navigation System Research Articles

Технологии и методы планирования перемещения БПЛА по маршрутным точкам

Unmanned aerial vehicles (UAVs) occupy a special place in our world. Their ability to navigate along set routes opens up prospects in various fields. The purpose of the study is to review and analyze navigation systems and UAV routing algorithms, methods that allow UAVs to follow the route with high accuracy. GPS and inertial navigation (INS) systems that provide accurate location determination are being investigated. The capabilities of sensor systems — cameras, lidars and ultrasonic sensors — are analyzed to detect obstacles and adjust the trajectory; voxel maps for three-dimensional modeling of the environment and methods of simultaneous localization and mapping (SLAM); algorithm A* (A-star); genetic routing algorithm, potential-based obstacle avoidance algorithms and RRT. Practical significance: the use of these methods and technologies can significantly improve the safety and accuracy of UAV routing, the ability to navigate autonomously in complex and dynamically changing landscapes. In conclusion, the advantages and limitations of navigation approaches and technologies are discussed; the importance of integrating sensor systems and SLAM methods to increase the autonomy and efficiency of UAVs; directions for further research.

A Comparative Study on GPS Navigation Systems: Attacks, Applications and Challenges for Security and Reliability

A Comparative Study on GPS Navigation Systems: Attacks, Applications and Challenges for Security and Reliability

SURFACE MOBILITY SOLUTION

In the Nagpur City of Maharashtra, the barrier of transportation in the daily life. Amidst mixture of sounds of honking horns and bustling streets, an intricate web of challenges come face to face with drivers and transportation professionals at every turn. As I delved into Nagpur's mobility landscape, engaging with drivers. The journey of exploration began with a simple premise: to understand the quality of being complex mobility challenges from the perspective of those entrenched in the frontline of transportation. Through extensive interviews and surveys, I sought to peel back the layers of complexity surrounding issues that impact drivers' livelihoods, schedules, and overall efficiency. What emerged from these interactions were recurring themes, echoing the sentiments of drivers navigating the labyrinthine streets of Nagpur: Documentation and Permit Predicaments: A maze of paperwork and bureaucratic hurdles often impedes the seamless flow of operations for drivers. From license renewals to permit applications, navigating the labyrinth of documentation requirements proves to be a formidable task, with delays rippling through the fabric of daily operations. Route Riddles: In a city where every turn can make the difference between timely arrival and frustrating delays, the lack of familiarity with optimal routes emerges as a significant challenge. For drivers, deciphering the shortest path from point A to point B is akin to navigating through a complex puzzle, where each intersection presents a myriad of choices, each with its own consequences. time Constraints and Efficiency Dilemmas: In the world of transportation, time is money, and every minute lost to loading and unloading delays translates into tangible losses for drivers. Whether it's waiting in line at a distribution center or grappling with the intricacies of cargo handling, the specter of inefficiency looms large, casting a shadow over the profitability of operations. Technological Turbulence: As the world hurtles towards an increasingly digitized future, the divide between technological proficiency and traditional practices widens. For drivers grappling with the complexities of GPS navigation systems and digital documentation platforms, the learning curve can be steep, posing yet another barrier to efficiency and competitiveness.

Evaporator with horizontal water plane stabilization

Evaporation plays an important role in maintaining water balance and managing water resources in reservoirs. This problem is relevant in hot regions with a lack of fresh water. In addition, reliable operation of evaporators plays an important role in preventing overheating and ensuring safe cooling of reactors which is critical to maintaining nuclear safety. The complete control and accurate measurement of the evaporation process provided by the developed device enables efficient water management ensuring the stability of nuclear power plants and minimising environmental risks. Evaporators are used to control the evaporation process in reservoirs. Based on the analysis of existing evaporators and their shortcomings, an evaporator with horizontal plane stabilization in the pan is developed. Due to this function the developed device allows to control the evaporation process with higher accuracy by reducing fluctuations in the water level in the evaporator. The developed device contains an autonomous power supply that uses energy-saving technology based on a solar battery which ensures operation without additional sources. The use of such a power supply increases the evaporator reliability. One of the important advantages of this device is the use of a cellular-based information transmission channel to the control center which allows to transmit the results of evaporation quickly monitoring and make water management decisions accordingly. In addition, the use of a GPS navigation system allows to set or determine the coordinates of the evaporator installation in the reservoir accurately. The developed device can be included in an intelligent energy resource management system; its use will significantly improve the safety and sustainability of nuclear power plants by improving evaporation process control. It will also optimize the nuclear power plants operation, promote efficient management of water resources and ensure safety in the nuclear energy field.

Forecasting solar flares with a transformer network

Space weather phenomena, including solar flares and coronal mass ejections, have significant influence on Earth. These events can cause satellite orbital decay due to heat-induced atmospheric expansion, disruption of GPS navigation and telecommunications systems, damage to satellites, and widespread power blackouts. The potential of flares and associated events to damage technology and disrupt human activities motivates prediction development. We use Transformer networks to predict whether an active region (AR) will release a flare of a specific class within the next 24 h. Two cases are considered: ≥C-class and ≥M-class. For each prediction case, separate models are developed. We train the Transformer to use time-series data to classify 24- or 48-h sequences of data. The sequences consist of 18 physical parameters that characterize an AR from the Space-weather HMI Active Region Patches data product. Flare event information is obtained from the Geostationary Operational Environmental Satellite flare catalog. Our model outperforms a prior study that similarly used only 24 h of data for the ≥C-class case and performs slightly worse for the ≥M-class case. When compared to studies that used a larger time window or additional data such as flare history, results are comparable. Using less data is conducive to platforms with limited storage, on which we plan to eventually deploy this algorithm.

Управлінські стратегії розвитку бізнесу в умовах цифрової трансформації

Digital transformation, based on the latest technologies, is a strategic course for enterprises aimed at optimizing, expanding their customer base, and opening new sources of profit. The article examines cloud computing, artificial intelligence, the Internet of Things, blockchain, and data analytics as critical aspects of digital transformation, focusing on their impact on business. A study of the existing opportunities for attracting digital technologies to the agribusiness sector was carried out, with an understanding of the need to use the latter not only in the management sphere but also in the production sphere, based on the specifics of the industry. The article presents the results of the digital activity of individual companies that use digital technologies to increase efficiency and productivity. It is determined that examples of task automation, the use of GPS navigation systems for tractors, and field monitoring via unmanned aerial vehicles are just a few illustrative examples of digital transformation. Artificial intelligence is being used to analyze crop data, improve understanding of operations, and identify opportunities for improvement. Practical examples include introducing precision farming systems, which help increase productivity and resource efficiency. Logistics and warehouse management systems help optimize machinery use and inventory management. Digital transformation in agribusiness not only increases the competitiveness of enterprises but also provides new opportunities for operating on digital platforms. The article explores the importance of researching digital opportunities in the manufacturing sector to support the digitalization of agribusiness and increase its competitiveness. The article emphasizes the importance of digital transformation in the manufacturing sector, which can determine the success of the Ukrainian business industry in the context of rapid digital development. Keywords: digital transformation, digital adaptation, digital technologies, strategic management, data analytics, innovation, competitive development.

GPS Navigation System on Autonomous Ship as An Effort to Increase Fish Catch for Fisherman in Pamekasan Indonesia

GPS Navigation System on Autonomous Ship as An Effort to Increase Fish Catch for Fisherman in Pamekasan Indonesia

Enhancing Accessibility: Assistive Devices Pairing Mobile Apps for Visually Impaired People

Vision impairment and blindness are significant health conditions that affect a considerable portion of the global population and have significant consequences, particularly in developed nations. Its harmful consequences can have a negative influence on a person's personal quality of life, as well as limit their ability to live independently. Navigation plays a crucial role in the activities that are impacted by vision loss. This is because it is almost impossible for the individual to move safely and independently. The goal of this project is to improve mobility for visually impaired people by employing Light Detection and Ranging (LiDAR) sensors to identify obstacles and alert users via haptic feedback if there are potential obstacles in their way. In addition, this study compares two sensors, LiDAR and ultrasonic sensors, besides the implementation of the Internet of Things (IoT), which was integrated into the small, portable robot by pairing a mobile phone. This is to ensure the user may be securely guided to their destination. I-Walk is a mobile app with a voice user interface (VUI) for GPS navigation systems and emergency calling. This app has been developed to allow users safe and independent travel. The simulation result shows that even though ultrasonic sensors are cheaper and serve the same function as LiDAR, their huge standard deviation and percentage error shown in this study cannot equal LiDAR's accuracy in which LiDAR has an average error of 0.63%. In contrast, ultrasonic sensors have an average error of 2.39%. Overall, this obstacle detection and navigation system comprises robust hardware and software to assist visually impaired people effectively.Keywords: Assistive technology, blind, mini guider robot, obstacle detection, navigation, IoT

Auditing Accessibility of Pavements and Points of Interest in Urban Areas: The ‘Seek & Go’ Tool

In recent years, accessibility has become a topic of great interest on a global scale across the scientific, business, and policy sectors. There are two primary reasons for this growing trend. Firstly, accessibility serves as a vital indicator reflecting the social performance of communities, and the public is increasingly aware of critical social issues such as accessibility. Secondly, accessibility is essential for the sustainable development of regions and civil settings, facilitating inclusion and business growth. In this regard, information and communications technologies can play a crucial role in facilitating the accessibility of spaces by disabled people. Numerous digital tools and smart applications are already available to serve this purpose. This study presents a novel digital tool called ‘Seek & Go’, a comprehensive aid application designed specifically for disabled individuals. The app features a GPS navigation system that caters to pedestrians with disabilities and unique accessibility requirements. The present study documents the models underlying the development of ‘Seek & Go’, discusses technical aspects of the application, and presents user experience insights.

Street direction classification using implicit vehicle crowdsensing and deep learning

GPS navigation systems are nowadays used extensively by drivers to reach locations and minimize traveling time. It is crucial to have up-to-date map information for their correct functioning. Map updating approaches leveraging human intervention may lag behind frequent changes in urban road arrangements like allowed directions. In this work, we use a combination of crowdsensing and deep learning techniques to extract information about allowed directions of the streets in a completely automated way. We present a faster and more sustainable alternative to currently adopted methods to keep maps’ details updated, based on crowdsensing without user intervention. In particular, we use data from on-vehicle GPS receivers, onboard cameras, and OSM queries. We describe experiments with data from different sources, such as real datasets and trip simulators. To address the problem of classifying street allowed directions, we propose two approaches: the first is based on an MLP on GPS traces, and the second consists in adopting a ResNet50 model on onboard camera imagery. We discuss how the cheaper and more easily deployable first approach delivers performance comparable to the second.

Navigation in reverse shoulder arthroplasty: how the lateralization of glenosphere can affect the clinical outcome.

One of the main causes of RSA failure is attributable to the malpositioning of the glenoid component. Initial experiences with computer-assisted surgery have shown promising results in increasing the accuracy and repeatability of placement of the glenoid component and screws. The aim of this study was to evaluate the functional clinical results, in terms of joint mobility and pain, by correlating them with intraoperative data regarding the positioning of the glenoid component. The hypothesis was that the lateralization more than 25mm of the glenosphere can led to better stability of the prosthesis but should pay in term of a reduced range of movement and increased pain. 50 patients were enrolled between October 2018 and May 2022; they underwent RSA implantation assisted by GPS navigation system. Active ROM, ASES score and VAS pain scale were recorded before surgery. Preoperative data about glenoid inclination and version were collected by pre-op X-Rays an CT. Intraoperative data-inclination, version, medialization and lateralization of the glenoid component-were recorded using computer-assisted surgery. 46 patients had been further clinically and radiographically re-evaluated at 3-months, 6-months, 1-year, and 2-years follow-up. We found a statistically significant correlation between anteposition and glenosphere lateralization value (DM - 6.057mm; p = 0.043). Furthermore a statistically significant correlation has been shown between abduction movement and the lateralization value (DM - 7.723mm; p = 0.015). No other statistically significant associations were found when comparing the values of glenoid inclination and version with the range of motion achieved by the patients after reverse shoulder arthroplasty. We observed that the patients with the best anteposition and abduction results had a glenosphere lateralization between 18 and 22mm. When increasing the lateralization above 22mm or reducing it below 18mm, on the other hand, both movements considered decreased their range. Level IV; Case Series; Treatment Study.

EXAMINATION OF DIFFERENT MODELS OF TROPOSPHERE DELAYS IN SBAS POSITIONING IN AERIAL NAVIGATION

This paper presents the results of a study on the use of different tropospheric correction models in SBAS positioning for air navigation. The paper, in particular, determines the influence of the Saastamoinen troposphere and RTCA-MOPS models on the determination of aircraft coordinates and mean coordinate errors in the SBAS positioning method. The study uses real kinematic data from a GPS navigation system recorded by an onboard GNSS satellite receiver as well as SBAS corrections. In the experiment, the authors include SBAS corrections from EGNOS and SDCM augmentation systems. The navigation calculations were performed using RTKLIB v.2.4.3 and Scilab 6.1.1 software. Based on the conducted research, it was found that the difference in aircraft coordinates using different troposphere models can reach up to ±2.14 m. Furthermore, the use of the RTCA-MOPS troposphere model improved the values of mean coordinate errors from 5 to 9% for the GPS+EGNOS solution and from 7 to 12% for the GPS+SDCM solution, respectively. The obtained computational findings confirm the validity of using the RTCA-MOPS troposphere model for SBAS positioning in aerial navigation.

ACCIDENT DETECTION AND ALERTING SYSTEM

Basically, security plays important role in our every aspect of life. Coming to the purpose of travelling security plays key affect to every person. As population is increasing day by day the needs for a person that is the use of automobiles also increased. Because of this many accidents has occurred on the road. Many of the people died in the accidents and the important aspect of causing road accidents is that due to lack of emergency facilities. To overcome this problem a system is existed which ensures the emergency facilities. The main intent of this existed system is that if any accident has occurred then sensor gets activated and automatically sends a message to the nearby hospital or police station. Here sensors are devoted to the micro controller and the space navigation system GPS gives perfect location where the accident has occurred. At last we can reduce accidents by using this existed system by sending an alert notification to the nearby hospitals.

Time delay estimation of traffic congestion propagation due to accidents based on statistical causality

<abstract><p>The accurate estimation of time delays is crucial in traffic congestion analysis, as this information can be used to address fundamental questions regarding the origin and propagation of traffic congestion. However, the exact measurement of time delays during congestion remains a challenge owing to the complex propagation process between roads and high uncertainty regarding future behavior. To overcome this challenge, we propose a novel time delay estimation method for the propagation of traffic congestion due to accidents using lag-specific transfer entropy (TE). The proposed method adopts Markov bootstrap techniques to quantify uncertainty in the time delay estimator. To the best of our knowledge, our proposed method is the first to estimate time delays based on causal relationships between adjacent roads. We validated the method's efficacy using simulated data, as well as real user trajectory data obtained from a major GPS navigation system in South Korea.</p></abstract>

Аналіз навігаційних систем автомобілів як систем автоматизації

У статті зазначено, що в наш час автомобільні навігатори набули широкої популярності, а також викладено особливості застосування глобальних навігаційних супутникових систем як одних із найкращих для функціонування таких навігаторів. Описано історію першої супутникової навігаційної системи — Transit. Крім того, проаналізовано принципи роботи, основні особливості, недоліки, місця розташування і сумісність таких існуючих глобальних навігаційних супутникових систем, як NAVSTAR-GPS, ГЛОНАСС, Galileо, Beidou, QZSS (Michibiki) та NavIC. Зазначено, що найкращі показники роботи пристроїв було отримано при застосуванні глобальних навігаційних систем ГЛОНАСС і GPS. Наведено порівняльні характеристики існуючих типів навігаційних систем автомобілів, зокрема штатних і автономних, і навігаційного програмного забезпечення портативних комп’ютерів і систем. Описано особливості роботи і живлення найчастіше застосовуваної штатної навігаційної системи автомобіля. Висвітлено принцип роботи і будову стандартного автомобільного GPS-навігатора як одного з найкращих. Зазначено також, що серед користувачів найпопулярнішими навігаційними системами вважаються портативний комп’ютер і звичайний смартфон із встановленими навігаційними програмами, докладними актуальними мапами і покроковими інструкціями, на відміну від вбудованих систем. Викладено принцип дії всіх марок автомобільних навігаторів. Значну увагу приділено оцінці переваг і недоліків популярних марок штатних навігаційних систем автомобілів, таких як Garmin, TomTom і Magellan. За результатами проведеного дослідження представлено особливості платних і безкоштовних програм автомобільних навігаторів, які набули популярності серед водіїв автомобілів: Яндекс Навігатор, iGo Primo, TomTom, Waze, Google карти, Автоспутник, OsmAnd, 2ГИС і Sygic Car.

Accounting of passenger transportation in the conditions of automated passenger flow management

Introduction. Further development of urban formations requires optimization of passenger traffic management in the public transport network. Ensuring the efficiency of traffic flow management involves improving accounting with the use of innovative NFC- validation and GPS-navigation systems simultaneously for all participants in passenger traffic. The purpose of the article. The main aim is to provide proposals for improving the cost and revenue accounting of carriers and issuers of electronic tickets for NFC validators in terms of information interaction of all participants in passenger traffic to ensure the effectiveness of automated passenger traffic management in the smart city.Methods. General scientific and empirical methods of cognition of processes and phenomena are used to reveal the purpose of the article.Results. A method of using information from the automated passenger traffic management system using NFC-validation and GPS-navigation technologies on the number of transported passengers to identify costs and revenues of public transport participants has been developed. The procedure for determining the cost of transportation of one passenger on the basis of additive accumulation of costs of carriers and issuers of electronic tickets has been improved. It is proposed to recognize the funds received from the sale of electronic tickets as targeted revenue (targeted funding). The method of accounting for revenues of issuers of electronic tickets and carriers has been improved. Implementation of the proposed method of parallel recognition and accounting of revenues and costs simultaneously for issuers of electronic documents and passenger carriers provides optimization of management in all market participants of passenger transport, which will lead to optimization: transport routes, service quality, reliability of accounting, socio-economic processes making managerial decisions, etc.Perspectives. Further research will be aimed at improving the methodology of control over the functioning of passenger carriers and the transport network of public entities in the implementation of an automated passenger traffic management system.

LEO based Satellite Navigation and Anti-Theft Tracking System for Automobiles

Abstract: GPS and Inertial Navigation Systems (INS) are used today in automobile navigation and tracking systems to locate themselves in Four Dimensions (latitude, longitude, altitude, time). However, GNSS or GPS still has its own bottleneck, such as the long initialization period of Precise Point Positioning (PPP) without dense reference network. For navigation, a number of selected LEO satellites can be equipped with a transmitter to transmit similar navigation signals to land users, so they can act like GNSS satellites but with much faster geometric change to enhance GNSS capability, which is named as LEO constellation enhanced GNSS (LeGNSS). This paper focuses on Low Earth Orbit navigation and anti-theft tracking system in automobiles that represents a framework which enables a navigating vehicle to aid its Inertial Navigation System when GNSS or GPS signal becomes unusable. Over the course of following years LEO satellite constellation will be available globally at ideal geometric locations. LEO Satellite aided Inertial navigation system with periodically transmitted satellite positions has the potential to achieve meter-level-accurate location. Keywords: LEO constellation, LEO enhanced GNSS (LeGNSS), Precise Point Positioning (PPP), Inertial Navigation System (INS), Precise Orbit Determination (POD)

Anti-spoofing Kalman filter for GPS/rotational INS integration

The navigation and positioning accuracy of the carrier can be effectively improved through the integrated navigation of GPS and Inertial navigation system (INS). However, signals from GPS satellites are affected by the external environment, which may reduce the positioning accuracy of GPS. More seriously, the GPS receiver may receive spoofing signals, resulting in positioning errors in the integrated navigation. Therefore, an anti-spoofing integrated navigation method is proposed in this paper. The error propagation characteristics of inertial navigation and the prediction estimation value in Kalman filter are used to detect the spoofing. After spoofing detection, credible GPS positioning results are used for Kalman filter as measurements. The method proposed in this paper can effectively improve the accuracy and robustness of integrated navigation. At the same time, it does not need to modify the existing GPS equipment or additional equipment. The effectiveness of the method is verified by simulation and vehicular experiments.

Driving and navigation habits of Austrian drivers

Abstract. A proper navigation experience is essential while driving. A navigation device has not only to provide the driver with the right amount of information to find the ideal route (shortest, most spectacular, fastest), but also has to make driving safer. Since the driver looks at the user interface of navigation devices only for a few seconds, it is essential that the appropriate amount of information is in the right place. There are many options for drivers to navigate with: mobile phone app, PDA (Personal Digital Assistant)/PNA (Portable Navigation Assistant) or a built-in GPS Navigation System. The presented research examined the driving and navigation habits of 116 Austrian drivers by considering the differences between the devices they use.

Unmanned aerial vehicle integrated real time kinematic in infrared inspection of photovoltaic panels

Photovoltaic solar energy is a fast-growing renewable energy that needs reliable condition monitoring systems to ensure the productivity of solar plants. Unmanned aerial vehicles are widely implanted to reduce maintenance costs in photovoltaic plants, leading suitable information for fault detection and diagnosis. This paper presents a novel condition monitoring system for photovoltaic panels composed by a radiometric sensor embedded in an unmanned aerial vehicle. A new contribution based on the field of view analysis with infrared sensors is proposed according to the measurement conditions, and the increment of unmanned aerial vehicle positioning reliability by a real-time kinetic navigation system. Several scenarios are designed for testing the reliability and suitability of the system. The results show significant improvements of the proposed approach compared with the reference based on GPS navigation system, higher than 65% for 83% of the cases, minimizing the errors and increasing the accuracy of the inspection, avoiding the analysis of areas outside the panels. The application of real time kinematic ensures a suitable field of view definition in 97% of the cases, while inaccurate results are detected with GPS in more than 20% of the experiments.