2 research outputs found
Proposal of an augmented reality tag uav positioning system for power line tower inspection
Autonomous inspection Unmanned Aerial Vehicle systems
are an essential research area, including power line distribution inspection.
Considerable efforts to solve the demanding presented in the
autonomous U AV inspection process are present in technical and scientific
research. One of these challenges is the precise positioning and fly
control of the U AV around the energy structures, which is vital to assure
the security of the operation. The most common techniques to achieve
precise positioning in UAV fly are Global Positioning Systems with RealTime
Kinematic. This technique demands a proper satellite signal receiving
to work appropriately, sometimes hard to achieve. The present work
proposes a complementary position data system based on augmented
reality tags (AR Tags) to increase the reliability of the UAV fly positioning
system. The system application is proposed for energy power tower
inspections as an example of use. The adaptation to other inspection
tasks is possible whit some small changes. Experimental results have
shown that an increase in the position accuracy is accomplished with
the use of this schema.info:eu-repo/semantics/publishedVersio
Cooperative UAVâUGV autonomous power pylon inspection: an investigation of cooperative outdoor vehicle positioning architecture
Realizing autonomous inspection, such as that of power distribution lines, through unmanned
aerial vehicle (UAV) systems is a key research domain in robotics. In particular, the use of autonomous
and semi-autonomous vehicles to execute the tasks of an inspection process can enhance the efficacy
and safety of the operation; however, many technical problems, such as those pertaining to the precise
positioning and path following of the vehicles, robust obstacle detection, and intelligent control, must be
addressed. In this study, an innovative architecture involving an unmanned aircraft vehicle (UAV) and an
unmanned ground vehicle (UGV) was examined for detailed inspections of power lines. In the proposed
strategy, each vehicle provides its position information to the other, which ensures a safe inspection
process. The results of real-world experiments indicate a satisfactory performance, thereby demonstrating
the feasibility of the proposed approach.This research was funded by National Counsel of Technological and Scientific Development of Brazil (CNPq).
The authors thank the National Counsel of Technological and Scientific Development of Brazil
(CNPq); Coordination for the Improvement of Higher Level People (CAPES); and the Brazilian Ministry of Science,
Technology, Innovation, and Communication (MCTIC). The authors would also like express their deepest gratitude
to Control Robotics for sharing the Pioneer P3 robot for the experiments. Thanks to Leticia Cantieri for editing the
experiment video.info:eu-repo/semantics/publishedVersio