Important Parameters and Settings in Unmanned Aerial Vehicles

Author:

Zawistowski MaciejORCID

Abstract

Aim: The article presents a set of parameters and settings for unmanned aerial vehicles (UAV), which is crucial in the operational work of the fire brigade and its importance for the quality of the final material obtained from an RGB camera or a thermal imaging camera. Introduction: Unmanned aerial vehicles (UAVs) are more often and more boldly used by various uniformed formations, including pilots of the State Fire Service and Volunteer Fire Brigades. Currently, they are used to perform recognition of situations and coordination of activities with the use of RGB and thermal imaging cameras. There are also other applications of UAV, including firefighting, but at the moment they are only conceptual solutions, as they have not been tested during an actual firefighting operation. According to the authors, a drone is currently only a carrier of additional devices and its functionality during the operation depends largely on certainty and reliability of a given UAV structure, as well as on the type and quality of the elements and sensors mounted on it. Methodology: A review of literature and press reports, as well as the authors’ experience in working with UAVs and the results of their research were used to analyse the topic. Conclusions: Indicating a set of key parameters for the UAVs used by fire brigade users is only possible to define its application. Therefore, in this study, the authors presented the most common use of unmanned aerial vehicles, for which key parameters were indicated and the impact of these factors on the obtained results of drones was described. Due to the frequent neglect of camera operation and the importance of their parameters, the authors described the most frequently set parameters of photographs and their impact on the final result, which is of key importance for the usefulness of the collected material.

Publisher

CNBOP-PIB Centrum Naukowo-Badawcze Ochrony Przeciwpozarowej

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3