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The Application of Unmanned Aerial Systems in Search and Rescue Activities

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Earth Observation for Emergency Management".

Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 15342

Special Issue Editors


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Guest Editor
1. Department of Geoinformatics and Cartography, Faculty of Earth Sciences and Environmental Management, University of Wrocław, pl. Uniwersytecki 1, 50-137 Wrocław, Poland
2. SARUAV Ltd., 50-137 Wrocław, Poland
Interests: geoinformatics; unmanned aerial vehicles; person detection; image analysis; hydrology; hydroinformatics
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Special Issue Information

Dear Colleagues,

Recent advances in search and rescue (SAR) activities include the operational use of unmanned aerial vehicles (UAVs), known as drones. Although UAVs are commonly used in SAR missions, there is a growing demand for the development of methods for analysing drone-acquired data in an unsupervised fashion. This Special Issue focuses both on methodical papers on how data analysis during an SAR mission can be automated and on all aspects of the use of drones in SAR activities. New findings and recommendations in the field of drone-based SAR missions may facilitate searches and increase the probability of saving lives.

We are pleased to invite you to submit manuscripts on the use of UAVs in SAR activities as well as on new methods or approaches that make the applicability of drones in SAR more effective. We welcome theoretical contributions as well as field reports. Manuscripts focusing on terrestrial and marine environments are invited.

This Special Issue aims to broaden the knowledge about the use of unmanned aerial technologies in SAR services and to report on the recent progress of methods and procedures developed in this field.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Special unmanned aerial systems dedicated for search and rescue;
  • Use of consumer-grade drones in search and rescue;
  • Close-range photogrammetry in search and rescue;
  • Algorithms for person detection and tracking;
  • Special software for search and rescue with drones;
  • Field reports on the operational use of drones in search and rescue missions;
  • Reports from field experiments;
  • Drone payload use in search and rescue;
  • Terrain assessment with drones (e.g., snow/avalanche evaluation for rescuers);
  • Weather assessment with drones (e.g., wind evaluation for rescuers).

We look forward to receiving your contributions.

Prof. Dr. Tomasz Niedzielski
Dr. Daniele Giordan
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • unmanned aerial vehicle
  • search and rescue
  • drone
  • sensors
  • aerial monitoring.

Published Papers (3 papers)

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Research

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14 pages, 13200 KiB  
Communication
Person Mobility Algorithm and Geographic Information System for Search and Rescue Missions Planning
by Vladan Papić, Ana Šarić Gudelj, Ante Milan and Mario Miličević
Remote Sens. 2024, 16(4), 670; https://0-doi-org.brum.beds.ac.uk/10.3390/rs16040670 - 13 Feb 2024
Viewed by 523
Abstract
In search and rescue (SAR) operations, up-to-date information on the terrain is critical because every additional hour required to search for a person reduces the likelihood of success. Therefore, it is necessary to provide quick access and the best possible input data for [...] Read more.
In search and rescue (SAR) operations, up-to-date information on the terrain is critical because every additional hour required to search for a person reduces the likelihood of success. Therefore, it is necessary to provide quick access and the best possible input data for planners and search teams and to develop tools that can help them plan and monitor actions in real-time. This paper describes a novel system based on the use of GIS for planning actions and visualizing the situation on the ground. Special focus is devoted to the algorithm for assessing the mobility of the missing person. Using this algorithm, the area of the proposed search area is modeled based on obtained information about the type of terrain on which the searches are planned. The obtained results are presented as a new Geographic Information System layer and have proven to be a quality that helps in defining the search space. Further research is discussed, especially regarding the assessment of the passability of certain types of terrain. Full article
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18 pages, 14385 KiB  
Article
First Successful Rescue of a Lost Person Using the Human Detection System: A Case Study from Beskid Niski (SE Poland)
by Tomasz Niedzielski, Mirosława Jurecka, Bartłomiej Miziński, Wojciech Pawul and Tomasz Motyl
Remote Sens. 2021, 13(23), 4903; https://0-doi-org.brum.beds.ac.uk/10.3390/rs13234903 - 03 Dec 2021
Cited by 11 | Viewed by 4188
Abstract
Recent advances in search and rescue methods include the use of unmanned aerial vehicles (UAVs), to carry out aerial monitoring of terrains to spot lost individuals. To date, such searches have been conducted by human observers who view UAV-acquired videos or images. Alternatively, [...] Read more.
Recent advances in search and rescue methods include the use of unmanned aerial vehicles (UAVs), to carry out aerial monitoring of terrains to spot lost individuals. To date, such searches have been conducted by human observers who view UAV-acquired videos or images. Alternatively, lost persons may be detected by automated algorithms. Although some algorithms are implemented in software to support search and rescue activities, no successful rescue case using automated human detectors has been reported on thus far in the scientific literature. This paper presents a report from a search and rescue mission carried out by Bieszczady Mountain Rescue Service near the village of Cergowa in SE Poland, where a 65-year-old man was rescued after being detected via use of SARUAV software. This software uses convolutional neural networks to automatically locate people in close-range nadir aerial images. The missing man, who suffered from Alzheimer’s disease (as well as a stroke the previous day) spent more than 24 h in open terrain. SARUAV software was allocated to support the search, and its task was to process 782 nadir and near-nadir JPG images collected during four photogrammetric flights. After 4 h 31 min of the analysis, the system successfully detected the missing person and provided his coordinates (uploading 121 photos from a flight over a lost person; image processing and verification of hits lasted 5 min 48 s). The presented case study proves that the use of an UAV assisted by SARUAV software may quicken the search mission. Full article
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Review

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35 pages, 2670 KiB  
Review
Unmanned Aerial Vehicles for Search and Rescue: A Survey
by Mingyang Lyu, Yibo Zhao, Chao Huang and Hailong Huang
Remote Sens. 2023, 15(13), 3266; https://0-doi-org.brum.beds.ac.uk/10.3390/rs15133266 - 25 Jun 2023
Cited by 16 | Viewed by 8670
Abstract
In recent years, unmanned aerial vehicles (UAVs) have gained popularity due to their flexibility, mobility, and accessibility in various fields, including search and rescue (SAR) operations. The use of UAVs in SAR can greatly enhance the task success rates in reaching inaccessible or [...] Read more.
In recent years, unmanned aerial vehicles (UAVs) have gained popularity due to their flexibility, mobility, and accessibility in various fields, including search and rescue (SAR) operations. The use of UAVs in SAR can greatly enhance the task success rates in reaching inaccessible or dangerous areas, performing challenging operations, and providing real-time monitoring and modeling of the situation. This article aims to help readers understand the latest progress and trends in this field by synthesizing and organizing papers related to UAV search and rescue. An introduction to the various types and components of UAVs and their importance in SAR operations is settled first. Additionally, we present a comprehensive review of sensor integrations in UAVs for SAR operations, highlighting their roles in target perception, localization, and identification. Furthermore, we elaborate on the various applications of UAVs in SAR, including on-site monitoring and modeling, perception and localization of targets, and SAR operations such as task assignment, path planning, and collision avoidance. We compare different approaches and methodologies used in different studies, assess the strengths and weaknesses of various approaches, and provide insights on addressing the research questions relating to specific UAV operations in SAR. Overall, this article presents a comprehensive overview of the significant role of UAVs in SAR operations. It emphasizes the vital contributions of drones in enhancing mission success rates, augmenting situational awareness, and facilitating efficient and effective SAR activities. Additionally, the article discusses potential avenues for enhancing the performance of UAVs in SAR. Full article
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