A Camera-based Tracking System for Distr ibution Network Inspection Based on Unmanned Aerial Vehicles

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CIRED 2019 - 2070.pdf (421.15 KB)
Paper number
2070
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Conference name
CIRED 2019
Conference date
3-6 June 2019
Conference location
Madrid, Spain
Peer-reviewed
Yes
Short title
Convener
Authors
Ruicong, Zhai, Guangdong Power Grid Co.-Ltd, China
Hao, Chen, Guangdong Power Grid Co. Ltd, China
Feng, Zhang, Guangdong Power Grid Co. Ltd, China
Zhihai, Xu, Guangdong Power Grid Co. Ltd, China
Chengcheng, Yang, Wuhan huzoho Technology Co. , China
Abstract
A Camera-based Tracking System for DistributionNetwork Inspection Based on Unmanned Aerial VehiclesThe emerging technology of unmanned aerial vehicle(UAV) has become more af ordable and practicable for distribution network inspections. In this paper, wepresent and demonstrate a camera-based trackingalgorithm that achieves accurate in-air localization for distribution network inspection ， In order to Reduceaccuracy of GPS positioning requirements. Specifically, our approach consists of Three stages. It first generatethe route using GPS information of towers. Followingthat, the GPS information of towers automatic updateby the camera-based SLAM algorithms. According to thenew GPS information of towers, the yaw maneuveringcommand was generated and route dynamic planning onthe basis of the pre-determined route. Meanwhile, theideal camera shooting angle for Distribution Networklines and towers is calculated, Then the control angle canbe adjusted automatically to realize the trackingprocess. While a number of localization methods arepossible (most notably avehicle dif erential GPS (DGPS)system), we chose to work with a camera-based systemfor the ubiquity of cheap, low weight and high qualitycamera systems means that such systems have idealcharacteristics for UAVs,And the feasibility of thisalgorithm is proved by tests.
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Publisher
AIM
Date
2019-06-03
Published in
CIRED 2019 Conference
Permanent link to this record
https://cired-repository.org/handle/20.500.12455/720
http://dx.doi.org/10.34890/942
ISSN
2032-9644
ISBN
978-2-9602415-0-1