Data Collection Analysis: Field Experiments with Wireless Sensors and Unmanned Aerial Vehicles

2018 ◽  
Author(s):  
Valentin-Alexandru Vladuta ◽  
Ioana Apostol ◽  
Ana-Maria Ghimes
Keyword(s):  
Data Collection ◽  
Unmanned Aerial Vehicles ◽  
Wireless Sensors ◽  
Field Experiments ◽  
Aerial Vehicles

Multi-UAV Specification and Control with a Single Pilot-in-the-Loop

2020 ◽  
Vol 08 (04) ◽  
pp. 269-277
Author(s):  
Patricio Moreno ◽  
Santiago Esteva ◽  
Ignacio Mas ◽  
Juan I. Giribet
Keyword(s):  
Remote Control ◽  
Unmanned Aerial Vehicles ◽  
Field Experiments ◽  
Aerial Vehicles ◽  
Simulated Environment ◽  
Aerial Vehicle ◽  
Space Formulation ◽  
Trajectory Following ◽  
And Control ◽  
Multi Uav

This work presents a multi-unmanned aerial vehicle formation implementing a trajectory-following controller based on the cluster-space robot coordination method. The controller is augmented with a feed-forward input from a control station operator. This teleoperation input is generated by means of a remote control, as a simple way of modifying the trajectory or taking over control of the formation during flight. The cluster-space formulation presents a simple specification of the system’s motion and, in this work, the operator benefits from this capability to easily evade obstacles by means of controlling the cluster parameters in real time. The proposed augmented controller is tested in a simulated environment first, and then deployed for outdoor field experiments. Results are shown in different scenarios using a cluster of three autonomous unmanned aerial vehicles.

scholarly journals UNMANNED AERIAL VEHICLE USE FOR WOOD CHIPS PILE VOLUME ESTIMATION

2016 ◽  
Vol XLI-B1 ◽  
pp. 953-956
Author(s):  
M. Mokroš ◽  
M. Tabačák ◽  
M. Lieskovský ◽  
M. Fabrika
Keyword(s):  
Data Collection ◽  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Applied Research ◽  
Rapid Development ◽  
Volume Estimation ◽  
Wood Chips ◽  
Aerial Vehicles ◽  
Aerial Vehicle ◽  
Gnss Data

The rapid development of unmanned aerial vehicles is a challenge for applied research. Many technologies are developed and then researcher are looking up for their application in different sectors. Therefore, we decided to verify the use of the unmanned aerial vehicle for wood chips pile monitoring. <br><br> We compared the use of GNSS device and unmanned aerial vehicle for volume estimation of four wood chips piles. We used DJI Phantom 3 Professional with the built-in camera and GNSS device (geoexplorer 6000). We used Agisoft photoscan for processing photos and ArcGIS for processing points. <br><br> Volumes calculated from pictures were not statistically significantly different from amounts calculated from GNSS data and high correlation between them was found (p = 0.9993). We conclude that the use of unmanned aerial vehicle instead of the GNSS device does not lead to significantly different results. Tthe data collection consumed from almost 12 to 20 times less time with the use of UAV. Additionally, UAV provides documentation trough orthomosaic.

scholarly journals APPLICATION OF AMATEUR UAV IN PHOTOGRAMMETRY

AГГ+ ◽  
2019 ◽  
Vol 1 (7) ◽  
Author(s):  
Miroslav Vujasinović ◽  
Jelena Nedić ◽  
Biljana Antunović ◽  
Miodrag Regodić
Keyword(s):  
Data Collection ◽  
Unmanned Aerial Vehicles ◽  
High Performance ◽  
New Technologies ◽  
Low Cost ◽  
Processing Methods ◽  
Flight Planning ◽  
Aerial Vehicles ◽  
High Performance Computers ◽  
Data Collection Procedure

With the advancement of technology in the last ten years and the cheaper development of microchips, new technologies are available for everyone. In addition to high-performance computers, relatively low-cost drones have been developed. This paper presents the possibility of using unmanned aerial vehicles in geodesy as well as flight planning, flight execution, processing of collected data, describes the basic components of the quadcopter, data collection procedure, processing methods as well as accuracy of the obtained results.

scholarly journals Dynamic Speed Control of Unmanned Aerial Vehicles for Data Collection under Internet of Things

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3951 ◽  
Author(s):  
Qi Pan ◽  
Xiangming Wen ◽  
Zhaoming Lu ◽  
Linpei Li ◽  
Wenpeng Jing
Keyword(s):  
Data Collection ◽  
Internet Of Things ◽  
Unmanned Aerial Vehicles ◽  
Collection Efficiency ◽  
Speed Control ◽  
Analytical Models ◽  
Typical Application ◽  
Aerial Vehicles ◽  
Sensor Device ◽  
Sensor Devices

With the new advancements in flight control and integrated circuit (IC) technology, unmanned aerial vehicles (UAVs) have been widely used in various applications. One of the typical application scenarios is data collection for large-scale and remote sensor devices in the Internet of things (IoT). However, due to the characteristics of massive connections, access collisions in the MAC layer lead to high power consumption for both sensor devices and UAVs, and low efficiency for the data collection. In this paper, a dynamic speed control algorithm for UAVs (DSC-UAV) is proposed to maximize the data collection efficiency, while alleviating the access congestion for the UAV-based base stations. With a cellular network considered for support of the communication between sensor devices and drones, the connection establishment process was analyzed and modeled in detail. In addition, the data collection efficiency is also defined and derived. Based on the analytical models, optimal speed under different sensor device densities is obtained and verified. UAVs can dynamically adjust the speed according to the sensor device density under their coverages to keep high data collection efficiency. Finally, simulation results are also conducted to verify the accuracy of the proposed analytical models and show that the DSC-UAV outperforms others with the highest data collection efficiency, while maintaining a high successful access probability, low average access delay, low block probability, and low collision probability.

scholarly journals A hierarchical vision-based localization of rotor unmanned aerial vehicles for autonomous landing

2018 ◽  
Vol 14 (9) ◽  
pp. 155014771880065 ◽  
Author(s):  
Haiwen Yuan ◽  
Changshi Xiao ◽  
Supu Xiu ◽  
Wenqiang Zhan ◽  
Zhenyi Ye ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Feature Detection ◽  
Field Experiments ◽  
Measurement Range ◽  
Autonomous Landing ◽  
Detection Range ◽  
Aerial Vehicles ◽  
Aerial Vehicle ◽  
Vision Based Localization

The vision-based localization of rotor unmanned aerial vehicles for autonomous landing is challenging because of the limited detection range. In this article, to extend the vision detection and measurement range, a hierarchical vision-based localization method is proposed for unmanned aerial vehicle autonomous landing. In such a hierarchical framework, the landing is defined into three phases: “Approaching,”“Adjustment,” and “Touchdown,” in which visual artificial features at different scales can be detected from the designed object pattern for unmanned aerial vehicle pose recovery. The corresponding feature detection and pose estimation algorithms are also presented. In the end, typical simulation and field experiments have been carried out to illustrate the proposed method. The results show that our hierarchical vision-based localization has the ability to a consecutive unmanned aerial vehicle localization in a wider working range from far to near, which is significant for autonomous landing.

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