scholarly journals Quantification of the Psychoacoustic Effect of Noise from Small Unmanned Aerial Vehicles

Author(s):  
C. T. Justine Hui ◽  
Michael J. Kingan ◽  
Yusuke Hioka ◽  
Gian Schmid ◽  
George Dodd ◽  
...  

This paper presents the results of a study evaluating the human perception of the noise produced by four different small quadcopter unmanned aerial vehicles (UAVs). This study utilised measurements and recordings of the noise produced by the quadcopter UAVs in hover and in constant-speed flight at a fixed altitude. Measurements made using a ½″ microphone were used to calculate a range of different noise metrics for each noise event. Noise recordings were also made using a spherical microphone array (an Eigenmike system). The recordings were reproduced using a 3D sound reproduction system installed in a large anechoic chamber located at The University of Auckland. Thirty-seven participants were subjected to the recordings and asked to rate their levels of annoyance in response to the noise, and asked to perform a simple cognitive task in order to assess the level of distraction caused by the noise. This study discusses the noise levels measured during the test and how the various noise metrics relate to the annoyance ratings. It was found that annoyance strongly correlates with the sound pressure level and loudness metrics, and that there is a very strong correlation between the annoyance caused by a UAV in hover and in flyby at the same height. While some significant differences between the distraction caused by the UAV noise for different cases were observed in the cognitive distraction test, the results were inconclusive. This was likely due to a ceiling effect observed in the participants’ test scores.

2021 ◽  
Vol 263 (4) ◽  
pp. 2905-2915
Author(s):  
Justine Hui ◽  
Michael Kingan ◽  
Yusuke Hioka ◽  
Gian Schmid, ◽  
George Dodd ◽  
...  

This paper presents the results of a study evaluating the human perception of the noise produced by small quadcopter UAVs. The study utilised recordings of the noise produced by several different quadcopter UAVs in hover and in constant-speed flight at a fixed altitude. These recordings were made using an eigenmic system. The recordings were reproduced using a 3D sound reproduction system located in the large anechoic chamber at the University of Auckland. Human subjects were asked to rate the annoyance of the recordings. The responses of the test subjects are presented and these are compared with objective metrics to assess suitable metrics for quantifying the impact of noise from these vehicles on humans.


Author(s):  
Andrea Figueiredo Arruda ◽  
Cristina Delgado Henriques ◽  
Claudio Santos de Miranda

This chapter outlines the experience of the Épura Research and Extension Group of the Federal University of Mato Grosso for the identification, characterization, and demarcation of informal settlements in Cuiabá (Brazil). This involved cooperating with the local residents' associations and public authorities in recognizing local demands and the need to open up urban land regularization processes. The cartographic issue is central to the recognition and legitimization of these territories and the use of geoinformation technologies, namely geographic information systems and unmanned aerial vehicles, can increase the speed and accuracy of the mapping of the neighborhoods. Additionally, the demands for urban and housing improvements and provision of space for everyday activities can be highlighted through the visualization and measuring tools that are embodied in these technologies. Furthermore, the experience requires the university to play a role in seeking more participatory and proactive practices within urban planning processes.


Drones ◽  
2019 ◽  
Vol 3 (3) ◽  
pp. 74 ◽  
Author(s):  
Nex

Unmanned aerial vehicle in geomatics (UAV-g) is a well-established scientific event dedicated to UAVs in geomatics and remote sensing. In the different editions of the journal, new scientific challenges have increased their synergy with adjacent domains, such as robotics and computer vision, thereby increasing the impact of this conference. The 2019 edition has been hosted by the University of Twente (The Netherlands) and has attracted about 300 participants for the full three-day program. Researchers from 36 different countries (from all continents) have presented 89 accepted papers in 17 oral and 2 poster sessions. The presented papers covered multi-disciplinary topics, such as photogrammetry, natural resources monitoring, autonomous navigation, and deep learning. All these contributions have in common the use of UAV platforms for the innovative acquisition and processing of the acquired data and information extracted from the surrounding environment.


2019 ◽  
Vol 43 (4) ◽  
pp. 481-489 ◽  
Author(s):  
Jay Matlock ◽  
Stephen Warwick ◽  
Philipp Sharikov ◽  
Jenner Richards ◽  
Afzal Suleman

The transition to cleaner, more efficient and longer-endurance aircraft is at the forefront of research and development in air vehicles. The focus of this research is to experimentally evaluate hybrid propulsion and energy harvesting systems in unmanned aerial vehicles (UAVs). Hybrid systems offer benefits over conventional gasoline and electric systems including lower environmental impacts, reduced fuel consumption, redundancy, and distributed propulsion. Additional energy efficiency can be achieved by harvesting some of the thermal energy of the exhaust gases. The development and experimental evaluation of a hybrid propulsion UAV was carried out at the University of Victoria Center for Aerospace Research (UVIC-CfAR) in the framework of the Green Aviation Research & Development Network (GARDN) grant. The work involved the development of a framework to evaluate UAV hybrid propulsion efficiency, and to predict the amount of power harvestable from thermoelectric generators (TEGs). The objective was to combine all of the components into a modular test bench that will allow the performance of the parallel hybrid system to be characterized and compared with theoretical results. Several experiments were performed to collect performance data of various components including a triple-TEG system connected to an engine, and system variables were modified to simulate flight profiles.


2017 ◽  
Vol 121 (1244) ◽  
pp. 1502-1529 ◽  
Author(s):  
A. Keane ◽  
J. Scanlan ◽  
A. Lock ◽  
M. Ferraro ◽  
P. Spillane ◽  
...  

ABSTRACTAs part of the ongoing development of small unmanned air systems by the University of Southampton, an all laser sintered aircraft has been test flown from the Royal Navy's ice patrol ship HMS Protector to assist with navigating through the Antarctic. These flights were carried out with pre-planned autopilot control with oversight from Andrew Lock, acting as the pilot embarked on HMS Protector. This is the first time the Royal Navy has used unmanned aerial vehicles in this part of the world. In this paper, we set out the trial reports and lessons learnt from this series of test flights.


Author(s):  
Ksenia Michailovna Belikova

The subject of this research is the trends and prospects for the development and implementation of artificial intelligence in the military sphere of one of the BRICS member-states – South Africa in the context of national acts (for example, the Law of 2008 “On the Right of Intellectual Property for State-Funded Research and Development”), the potential and needs of this country, as well as achievements in design and manufacturing of unmanned aerial vehicles by the competitor companies (Seeker 400, MA 380, etc.). The relevance of this topic is substantiated by timely consideration of the legal perspective of the approaches of South Africa towards the implementation of artificial intelligence. The scientific novelty of this article is defined by the focus of research and the acquired results. It is determined that South Africa takes the path of institutional, legal and practical consolidation of the development of artificial intelligence in form of creation of designated infrastructure (on the premises of the universities, for example, Intelligent Systems Group at the University of Pretoria), as startups, scientific network structures (Center for Artificial Intelligence Research), etc. It is demonstrated that South Africa is the manufacturer and seller of the line of unmanned aerial vehicles that are controlled by the artificial intelligence and capable of performing various civil or military tasks –  from moving cargo (including laser-guided bombs) to monitoring the territory (search and rescue or reconnaissance operations, damage assessment from natural disasters or combat operations, control conduct of fire at enemy positions, etc.).


Author(s):  
A.A. Moykin ◽  
◽  
A.S. Medzhibovsky ◽  
S.A. Kriushin ◽  
M.V. Seleznev ◽  
...  

Nowadays, the creation of remotely-piloted aerial vehicles for various purposes is regarded as one of the most relevant and promising trends of aircraft development. FAU "25 State Research Institute of Chemmotology of the Ministry of Defense of the Russian Federation" have studied the operation features of aircraft piston engines and developed technical requirements for motor oil for piston four-stroke UAV engines, as well as a new engine oil M-5z/20 AERO in cooperation with NPP KVALITET, LLC. Based on the complex of qualification tests, the stated operational properties of the experimental-industrial batch of M-5z/20 AERO oil are generally confirmed.


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