Lost Person Search Area Prediction Based on Regression and Transfer Learning Models
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Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, R. Boškovića 32, 21000 Split, Croatia
2
Croatian Mountain Rescue Service, Split Station, Šibenska 41, 21000 Split, Croatia
*
Author to whom correspondence should be addressed.
Academic Editors: Haosheng Huang and Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2021, 10(2), 80; https://doi.org/10.3390/ijgi10020080
Received: 21 December 2020
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Revised: 5 February 2021
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Accepted: 11 February 2021
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Published: 17 February 2021
In this paper, we propose a methodology and algorithms for search and rescue mission planning. These algorithms construct optimal areas for lost person search having in mind the initial point of planning and features of the surrounding area. The algorithms are trained on previous search and rescue missions data collected from three stations of the Croatian Mountain Rescue Service. The training was performed in two training phases and having two data sets. The first phase was the construction of a regression model of the speed of walking. This model predicts the speed of walking of a rescuer who is considered a well-trained and motivated person since the model is fitted on a dataset made of GPS tracking data collected from Mountain Rescue Service rescuers. The second phase is the calibration of the model for lost person speed of walking prediction with transfer learning on lost person data. The model is used in the simulation of walking in all directions to predict the maximum area where a person can be located. The performance of the algorithms was analysed with respect to a small dataset of archive data of real search and rescue missions that was available and results are discussed.
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Keywords:
search and rescue; machine learning; regression; transfer learning; cellular automata simulation
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MDPI and ACS Style
Šerić, L.; Pinjušić, T.; Topić, K.; Blažević, T. Lost Person Search Area Prediction Based on Regression and Transfer Learning Models. ISPRS Int. J. Geo-Inf. 2021, 10, 80. https://doi.org/10.3390/ijgi10020080
AMA Style
Šerić L, Pinjušić T, Topić K, Blažević T. Lost Person Search Area Prediction Based on Regression and Transfer Learning Models. ISPRS International Journal of Geo-Information. 2021; 10(2):80. https://doi.org/10.3390/ijgi10020080
Chicago/Turabian StyleŠerić, Ljiljana, Tomas Pinjušić, Karlo Topić, and Tomislav Blažević. 2021. "Lost Person Search Area Prediction Based on Regression and Transfer Learning Models" ISPRS International Journal of Geo-Information 10, no. 2: 80. https://doi.org/10.3390/ijgi10020080
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