Towards Visual Based Navigation with Power Line Detection

Cerón, Alexander; Mondragón, F B Iván; Prieto, Flavio

doi:10.1007/978-3-319-14249-4_79

Cited by 13 publications

(7 citation statements)

References 14 publications

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“…The simulation of a control system for a fixed-wing UAV that uses vision-based navigation for power line tracking is presented in [21]. In a previous work, the Vision-Based Path Finding Strategy of Unmanned Aerial Vehicles for Electrical Infrastructure… DOI: http://dx.doi.org/10.5772/intechopen.86689 simulation of a visual-based navigation process for power line following in a 3D environment using a closed loop control was presented in [22].…”

Section: Autonomous Navigation Processmentioning

confidence: 99%

Vision-Based Path Finding Strategy of Unmanned Aerial Vehicles for Electrical Infrastructure Purpose

Cerón¹,

Prieto²,

Mejias³

2019

Path Planning for Autonomous Vehicles - Ensuring Reliable Driverless Navigation and Control Maneuver

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In this chapter we present the development of automated visual inspection systems for electrical infrastructure. The inspection is performed using images acquired with an unmanned aerial vehicle (UAV). Through automated inspection routes, the state of the infrastructure can be evaluated and then the appropriate correcting measures be taken. The monitoring of power lines can be done using passive sensors such as cameras or active sensors such as light detection and ranging (LIDAR) cameras, image processing techniques, computer vision and control systems can then be used. Additionally, a three-dimensional (3D) reconstruction process is possible using images either offline or during the monitoring. An UAV with an onboard embedded computer is used to execute the computer vision and path planning algorithms. The work done shows that the proposed strategy aids in the automation of power line inspection.

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Section: Autonomous Navigation Processmentioning

confidence: 99%

Vision-Based Path Finding Strategy of Unmanned Aerial Vehicles for Electrical Infrastructure Purpose

Cerón¹,

Prieto²,

Mejias³

2019

Path Planning for Autonomous Vehicles - Ensuring Reliable Driverless Navigation and Control Maneuver

Self Cite

View full text Add to dashboard Cite

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“…Extraction of power line features from image processing is a method with high feasibility, low cost, and easy to implement as navigation information for UAVs. Research on methods and technologies for extracting long and straight power lines from aerial images has been favored by scientific researchers and power companies [27][28][29][30]. These processing methods use visible light sensors to collect images or videos during the inspection process, based on the mathematical methods of image processing, the linear characteristics of long straight wires are extracted from the cluttered background.…”

Section: Introductionmentioning

confidence: 99%

A Method for Autonomous Navigation and Positioning of UAV Based on Electric Field Array Detection

Zhang

et al. 2021

Sensors

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At present, the method of using unmanned aerial vehicles (UAVs) with traditional navigation equipment for inspection of overhead transmission lines has the limitations of expensive sensors, difficult data processing, and vulnerable to weather and environmental factors, which cannot ensure the safety of UAV and power systems. Therefore, this paper establishes a mathematical model of spatial distribution of transmission lines to study the field strength distribution information around transmission lines. Based on this, research the navigation and positioning algorithm. The data collected by the positioning system are input into the mathematical model to complete the identification, positioning, and safety distance diagnosis of the field source. The detected data and processing results can provide reference for UAV obstacle avoidance navigation and safety warning. The experimental results show that the positioning effect of the positioning navigation algorithm is obvious, and the positioning error is within the range of use error and has good usability and application value.

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“…Despite the good performance of GPS-based navigation, the transmission-line-based navigation has also attracted a wide attention of researchers. Ceron et al 8 navigated UAV in a virtual environment by the direction of transmission lines and the intervals between transmission lines. Chen et al 9 made some improvements in the conventional radon transform to enable the sub-pixel extraction of transmission lines from the high-resolution satellite images.…”

Section: Introductionmentioning

confidence: 99%

A monocular-based navigation approach for unmanned aerial vehicle safe and autonomous transmission-line inspection

Hui

Bian

Zhao

et al. 2019

International Journal of Advanced Robotic Systems

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This article presents a monocular-based navigation approach for unmanned aerial vehicle safe and continuous inspection along one side of transmission lines. To this end, a navigation model based on the transmission tower and the transmission-line vanishing point was proposed, and the following three key issues were addressed. First, a deep-learningbased object detection and a fast and smooth tracking algorithm based on the kernelized correlation filter were combined to locate transmission tower timely and reliably. Second, the vanishing point of transmission lines was computed and optimized to provide unmanned aerial vehicle with a robust and precise flight direction. Third, to keep a stable safe distance from transmission lines, the transmission lines were first rectified by optimizing a homography matrix to eliminate the parallel distortion, and then their interval variation was estimated for reflecting the spatial distance variation. Finally, the real distance from transmission tower was measured by the triangulation across multiple views. The proposed navigation approach and the designed UAV platform were tested in a field environment, which achieved an encouraging result. To the best of authors' knowledge, this article marks the first time that a safe and continuous navigation approach along one side of transmission lines is put forward and implemented.

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Towards Visual Based Navigation with Power Line Detection

Cited by 13 publications

References 14 publications

Vision-Based Path Finding Strategy of Unmanned Aerial Vehicles for Electrical Infrastructure Purpose

Vision-Based Path Finding Strategy of Unmanned Aerial Vehicles for Electrical Infrastructure Purpose

A Method for Autonomous Navigation and Positioning of UAV Based on Electric Field Array Detection

A monocular-based navigation approach for unmanned aerial vehicle safe and autonomous transmission-line inspection

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