Requirements for helicopter landing sites in a concept of airborne primary rescue

Resuscitation ◽  
2014 ◽  
Vol 85 ◽  
pp. S117
Author(s):  
Stefan Oppermann ◽  
Daniel Galitzien ◽  
Heinzpeter Moecke ◽  
Hartwig Marung
Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2422 ◽  
Author(s):  
Pavel E. Shimkin ◽  
Alexander I. Baskakov ◽  
Aleksey A. Komarov ◽  
Min-Ho Ka

This letter proposes a radar interferometric survey system for the ground surface of helicopter landing sites. This system generates high-quality three-dimensional terrain surface topography data and estimates the slope of the site with the required accuracy. This study presents the processing algorithms of the radar system for safe helicopter landing using an interferometric method and also demonstrates the efficiency of the proposed approach based on computer simulation results. The results of the calculated potential accuracy characteristics of such a system are presented, as well as one of the variants of the algorithmic implementation of a simulation computer model implemented on MATLAB. Visual results of modeling using an example of a helicopter landing on a non-uniform surface relief similar to a real case are shown. The study focuses on the simulation of a unique on-board radar system, which allows helicopters to land on an unprepared site with a high degree of safety, having previously determined the presence of dangerous irregularities, inclines, foreign objects, and mechanisms on the site.


2021 ◽  
Vol 2 ◽  
pp. 1-7
Author(s):  
Eva Mertova ◽  
Martin Bures

Abstract. The identification of the Helicopter Landing Sites (HLS) needs complex analysis of the terrain considering a lot of aspects. One of the unconditional aspects in this case is the slope of ground, therefore the HLS identification depending on slope, landing site dimension and shape was conducted. This paper describes the development of the tool for the HLS identification depending only on the relief, but no other objects on the earth’s surface. At the end of the paper, the possible improvements of the tools are stated.


2020 ◽  
Vol 12 (3) ◽  
pp. 544 ◽  
Author(s):  
Vyron Antoniou ◽  
Chryssy Potsiou

This paper presents an end-to-end methodology that can be used in the disaster response process. The core element of the proposed method is a deep learning process which enables a helicopter landing site analysis through the identification of soccer fields. The method trains a deep learning autoencoder with the help of volunteered geographic information and satellite images. The process is mostly automated, it was developed to be applied in a time- and resource-constrained environment and keeps the human factor in the loop in order to control the final decisions. We show that through this process the cognitive load (CL) for an expert image analyst will be reduced by 70%, while the process will successfully identify 85.6% of the potential landing sites. We conclude that the suggested methodology can be used as part of a disaster response process.


2019 ◽  
Vol 2019 (3) ◽  
pp. 43-56
Author(s):  
Andrzej Chyla ◽  
Michał Bukała

Abstract According to the applicable regulations, in the case of a decision on the location of an investment consisting in the construction and commissioning of a helicopter landing field, it is necessary to carry out an environmental impact assessment. At the same time, due to the emission of noise related to the expected change of acoustic climate parameters, the indicators required under the applicable law related to building acoustics and also impact of vibration on the structure of buildings should be taken into account. The article discusses particular groups of issues related to the assessment of the impact of helicopter landing field on the environment and the hospital building. On the basis of the presented results of analyzes, a postulate concerning the necessity of introducing a comprehensive assessment methodology, including specific groups of issues, was formulated.


2012 ◽  
Author(s):  
Dan Broockmann ◽  
Linda DeVine ◽  
Cathy Doan ◽  
Lesley Hamilton ◽  
Edyth Mertz ◽  
...  

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