scholarly journals POTENTIAL OF UNMANNED AERIAL VEHICLES FOR AGRICULTURE

2021 ◽  
Vol 3 (1) ◽  
pp. 1-8
Author(s):  
Pawan Thapa
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Real Time ◽  
Global Positioning System ◽  
Crop Production ◽  
Positioning System ◽  
Interactive Maps ◽  
Aerial Vehicles ◽  
Global Positioning ◽  
Farmer Management ◽  
User Friendly

In few years, agriculture drones emerge for monitoring, planting, spraying, and mapping to increase crop production and reduce labor. This review results show its significance and farmer's demand for agriculture. The UAV technologies enable farmer management based on measuring and observation based on real-time crop and livestock monitoring, significantly maximize their production. The farm drone consists of user-friendly software with interactive maps, and a global positioning system will improve production. It will support farmer for farming in efficient, effective, and economical ways.

A Visual Global Positioning System for Unmanned Aerial Vehicles Used in Photogrammetric Applications

2010 ◽  
Vol 61 (1-4) ◽  
pp. 157-168 ◽  
Author(s):  
Andrea Cesetti ◽  
Emanuele Frontoni ◽  
Adriano Mancini ◽  
Andrea Ascani ◽  
Primo Zingaretti ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Global Positioning System ◽  
Positioning System ◽  
Aerial Vehicles ◽  
Global Positioning

A Visual Global Positioning System for Unmanned Aerial Vehicles Used in Photogrammetric Applications

2010 ◽  
pp. 157-168
Author(s):  
Andrea Cesetti ◽  
Emanuele Frontoni ◽  
Adriano Mancini ◽  
Andrea Ascani ◽  
Primo Zingaretti ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Global Positioning System ◽  
Positioning System ◽  
Aerial Vehicles ◽  
Global Positioning

scholarly journals Practical Aspects of Design and Testing Unmanned Aerial Vehicles

2020 ◽  
Vol 14 (1) ◽  
pp. 50-58
Author(s):  
Patryk Szywalski ◽  
Andrzej Waindok
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Global Positioning System ◽  
Practical Implementation ◽  
Positioning System ◽  
Positioning Systems ◽  
Autonomous Flight ◽  
Aerial Vehicles ◽  
Global Positioning ◽  
Aerial Vehicle ◽  
Design And Testing

AbstractA design of an unmanned aerial vehicle (UAV) construction, intended for autonomous flights in a group, was presented in this article. The design assumptions, practical implementation and results of the experiments were given. Some of the frame parts were made using 3D printing technology. It not only reduces the costs but also allows for better fitting of the covers to the electronics, which additionally protects them against shocks and dirt. The most difficult task was to develop the proper navigation system. Owing to high costs of precision positioning systems, common global positioning system (GPS) receivers were used. Their disadvantage is the floating position error. The original software was also described. It controls the device, allows performing autonomous flight along a pre-determined route, analyses all parameters of the drone and sends them in a real time to the operator. The tests of the system were carried out and presented in the article, as well.

scholarly journals Dynamic Selection Techniques for Detecting GPS Spoofing Attacks on UAVs

Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 662
Author(s):  
Tala Talaei Khoei ◽  
Shereen Ismail ◽  
Naima Kaabouch
Keyword(s):  
False Alarm ◽  
Unmanned Aerial Vehicles ◽  
Global Positioning System ◽  
Processing Time ◽  
Probability Of Detection ◽  
Positioning System ◽  
Dynamic Selection ◽  
Probability Of False Alarm ◽  
Aerial Vehicles ◽  
Global Positioning

Unmanned aerial vehicles are prone to several cyber-attacks, including Global Positioning System spoofing. Several techniques have been proposed for detecting such attacks. However, the recurrence and frequent Global Positioning System spoofing incidents show a need for effective security solutions to protect unmanned aerial vehicles. In this paper, we propose two dynamic selection techniques, Metric Optimized Dynamic selector and Weighted Metric Optimized Dynamic selector, which identify the most effective classifier for the detection of such attacks. We develop a one-stage ensemble feature selection method to identify and discard the correlated and low importance features from the dataset. We implement the proposed techniques using ten machine-learning models and compare their performance in terms of four evaluation metrics: accuracy, probability of detection, probability of false alarm, probability of misdetection, and processing time. The proposed techniques dynamically choose the classifier with the best results for detecting attacks. The results indicate that the proposed dynamic techniques outperform the existing ensemble models with an accuracy of 99.6%, a probability of detection of 98.9%, a probability of false alarm of 1.56%, a probability of misdetection of 1.09%, and a processing time of 1.24 s.

Ultra-Wideband-Based Localization for Quadcopter Navigation

2016 ◽  
Vol 04 (01) ◽  
pp. 23-34 ◽  
Author(s):  
Kexin Guo ◽  
Zhirong Qiu ◽  
Cunxiao Miao ◽  
Abdul Hanif Zaini ◽  
Chun-Lin Chen ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Global Positioning System ◽  
Ultra Wideband ◽  
Line Of Sight ◽  
Positioning System ◽  
Localization Algorithm ◽  
Control Loop ◽  
Flight Tests ◽  
Localization System ◽  
Global Positioning

Micro unmanned aerial vehicles (UAVs) are promising to play more and more important roles in both civilian and military activities. Currently, the navigation of UAVs is critically dependent on the localization service provided by the Global Positioning System (GPS), which suffers from the multipath effect and blockage of line-of-sight, and fails to work in an indoor, forest or urban environment. In this paper, we establish a localization system for quadcopters based on ultra-wideband (UWB) range measurements. To achieve the localization, a UWB module is installed on the quadcopter to actively send ranging requests to some fixed UWB modules at known positions (anchors). Once a distance is obtained, it is calibrated first and then goes through outlier detection before being fed to a localization algorithm. The localization algorithm is initialized by trilateration and sustained by the extended Kalman filter (EKF). The position and velocity estimates produced by the algorithm will be further fed to the control loop to aid the navigation of the quadcopter. Various flight tests in different environments have been conducted to validate the performance of UWB ranging and localization algorithm.

scholarly journals Investigation of accurate method in 3-D position using Cors-Net in Istanbul

2012 ◽  
Vol 18 (2) ◽  
pp. 171-184 ◽  
Author(s):  
Kutalmis Gumus ◽  
Cahit Tagi Celik ◽  
Halil Erkaya
Keyword(s):  
Real Time ◽  
Conventional Method ◽  
Global Positioning System ◽  
Complex Structure ◽  
Accurate Method ◽  
Reference Station ◽  
Positioning System ◽  
Virtual Reference ◽  
Global Positioning ◽  
Set Up

In this study, for Istanbul, there are two Cors Networks (Cors-TR, Iski Cors) providing Virtual Reference Station (VRS), and Flachen Korrektur Parameter (FKP), corrections to rover receiver for determining 3-D positions in real time by Global Positioning System (GPS). To determine which method (or technique) provides accurate method for position fixing, a test network consisting of 49 stations was set up in Yildiz Technical University Davudpasa Campus. The coordinates of the stations in the test network were determined by conventional geodetic, classical RTK, VRS and FKP methods serviced by both Cors-TR and Iski Cors. The results were compared to the coordinates by the conventional method by using total station. The results showed a complex structure as the accuracy differs from one component to another such as in horizontal coordinates, Y components by CorsTR_VRS and Cors_TR_ FKP showed 'best' results while the same technique provided X components consistent accuracy with the Y component but less accurate than by real time kinematic (RTK). In vertical components, of all the techniques used for the h components, CorsTR_VRS showed 'best' accuracy with three outliers.

Sign in / Sign up

Export Citation Format

Share Document