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Article

First Successful Rescue of a Lost Person Using the Human Detection System: A Case Study from Beskid Niski (SE Poland)

1
SARUAV Ltd., pl. Uniwersytecki 1, 50-137 Wrocław, Poland
2
Faculty of Earth Sciences and Environmental Management, University of Wrocław, pl. Uniwersytecki 1, 50-137 Wrocław, Poland
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Bieszczady Mountain Rescue Service, ul. Mickiewicza 49, 38-500 Sanok, Poland
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Jura Mountain Rescue Service, Podlesice 5, 42-425 Kroczyce, Poland
*
Author to whom correspondence should be addressed.
Academic Editor: Fumio Yamazaki
Remote Sens. 2021, 13(23), 4903; https://doi.org/10.3390/rs13234903
Received: 27 September 2021 / Revised: 20 November 2021 / Accepted: 28 November 2021 / Published: 3 December 2021
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. View Full-Text
Keywords: unmanned aerial vehicle; search and rescue; person detection unmanned aerial vehicle; search and rescue; person detection
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MDPI and ACS Style

Niedzielski, T.; Jurecka, M.; Miziński, B.; Pawul, W.; Motyl, T. First Successful Rescue of a Lost Person Using the Human Detection System: A Case Study from Beskid Niski (SE Poland). Remote Sens. 2021, 13, 4903. https://doi.org/10.3390/rs13234903

AMA Style

Niedzielski T, Jurecka M, Miziński B, Pawul W, Motyl T. First Successful Rescue of a Lost Person Using the Human Detection System: A Case Study from Beskid Niski (SE Poland). Remote Sensing. 2021; 13(23):4903. https://doi.org/10.3390/rs13234903

Chicago/Turabian Style

Niedzielski, Tomasz, Mirosława Jurecka, Bartłomiej Miziński, Wojciech Pawul, and Tomasz Motyl. 2021. "First Successful Rescue of a Lost Person Using the Human Detection System: A Case Study from Beskid Niski (SE Poland)" Remote Sensing 13, no. 23: 4903. https://doi.org/10.3390/rs13234903

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