Inflight helicopter blade track measurement using computer vision

Hanif, Akhtar; Yousaf, Muhammad Haroon; Fazil, Adnan; Akhtar, Shazia

doi:10.1109/tenconspring.2014.6862997

Cited by 2 publications

(2 citation statements)

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“…Thus, the ongoing research aims to evaluate the feasibility of replacing the flag-tracking approach with more efficient, automated alternatives such as artificial intelligence (AI) to overcome these limitations. Furthermore, an advanced process of obtaining the blades' pitch using a high-speed sensor involves the following steps [3]:…”

Section: Introductionmentioning

confidence: 99%

AI-Driven Blade Alignment for Aerial Vehicles’ Rotary Systems Using the A* Algorithm and Statistical Heuristics

Godara,

Behl,

Dutta

et al. 2023

Ecsa 2023

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Section: Introductionmentioning

confidence: 99%

AI-Driven Blade Alignment for Aerial Vehicles’ Rotary Systems Using the A* Algorithm and Statistical Heuristics

Godara,

Behl,

Dutta

et al. 2023

Ecsa 2023

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“…However, most of them discuss laboratory or wind tunnel testing. In [7], a blade tracking technique based on a single camera system was applied for the vibration of the blade by using image processing. In [8], a single camera system successfully measured the helicopter blade angles in laboratory testing, while the applicability of vision-based techniques to rotor dynamics analysis is widely explored in literature (see for example [9] and [10]).…”

Section: Introductionmentioning

confidence: 99%

A Vision-Based Technique for in-Flight Measurement of Helicopter Blade Motion

et al. 2019

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The measurement of helicopter main rotor blade angles during flight is a key capability to implement advanced applications, such as strategies for the reduction of emitted noise and to develop innovative flight control laws. The approach proposed in this work for the real-time estimation of blade angles is based on a stereoscopic system mounted on the top of the main rotor and pointing to an optical target placed on the blade root. An advanced image-processing algorithm was developed to match the target features in the left and right camera images, which was required for the 3D reconstruction of the target based on a triangulation method. This algorithm was customized for the target used in this specific application, in order to implement a procedure that is both reliable in blob matching and characterized by a very low computation effort. This allowed the system to speeding up the triangulation procedure aimed at obtaining the 3-D coordinates of the features, in view of real-time applications, even with very compact processing units that can be accommodated on the main rotor head. An inverse problem for the 3-D rotation of the target was solved using the Singular Value Decomposition technique, thus improving the robustness of the measurement. The stereoscopic system was developed in order to be integrated on board an AW139 helicopter main rotor hub, equipped with a synchronous lighting device and a pre-processing unit. The latter enabled the system to automatically extract the

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Inflight helicopter blade track measurement using computer vision

Cited by 2 publications

References 1 publication

AI-Driven Blade Alignment for Aerial Vehicles’ Rotary Systems Using the A* Algorithm and Statistical Heuristics

AI-Driven Blade Alignment for Aerial Vehicles’ Rotary Systems Using the A* Algorithm and Statistical Heuristics

A Vision-Based Technique for in-Flight Measurement of Helicopter Blade Motion

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