Assisted Control for Semi-Autonomous Power Infrastructure Inspection using Aerial Vehicles

被引:0
|
作者
McFadyen, Aaron [1 ]
Dayoub, Feras [1 ,2 ]
Martin, Steve [1 ,2 ]
Ford, Jason [1 ,2 ]
Corke, Peter [1 ,2 ]
机构
[1] Queensland Univ Technol, Fac Sci & Engn, Brisbane, Qld, Australia
[2] Queensland Univ Technol, Australian Ctr Robot Vis, Brisbane, Qld, Australia
关键词
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暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents the design and implementation of an assisted control technology for a small multirotor platform for aerial inspection of fixed energy infrastructure. Sensor placement is supported by a theoretical analysis of expected sensor performance and constrained platform behaviour to speed up implementation. The optical sensors provide relative position information between the platform and the asset, which enables human operator inputs to be autonomously adjusted to ensure safe separation. The assisted control approach is designed to reduced operator workload during close proximity inspection tasks, with collision avoidance and safe separation managed autonomously. The energy infrastructure includes single vertical wooden poles and crossarm with attached overhead wires. Simulated and real experimental results are provided.
引用
收藏
页码:5719 / 5726
页数:8
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