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Pregled bibliografske jedinice broj: 1112264

Lost Person Search Area Prediction Based on Regression and Transfer Learning Models


Šerić, Ljiljana; Pinjušić, Tomas; Topić, Karlo; Blažević, Tomislav
Lost Person Search Area Prediction Based on Regression and Transfer Learning Models // ISPRS International Journal of Geo-Information, 10 (2021), 2; 80-95 doi:10.3390/ijgi10020080 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1112264 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Lost Person Search Area Prediction Based on Regression and Transfer Learning Models

Autori
Šerić, Ljiljana ; Pinjušić, Tomas ; Topić, Karlo ; Blažević, Tomislav

Izvornik
ISPRS International Journal of Geo-Information (2220-9964) 10 (2021), 2; 80-95

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
search and rescue ; machine learning ; regression ; transfer learning ; cellular automata simulation

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekti:
EK-EFRR-KK.01.1.1.04.0064 - Razvoj tehnologije za procjenu autopurifikacijskih sposobnosti priobalnih voda (CAAT) (Andričević, Roko, EK - KK.01.1.1.04. Ulaganje u znanost i inovacije-Prvi poziv) ( POIROT)

Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split

Profili:

Avatar Url Ljiljana Šerić (autor)

Citiraj ovu publikaciju:

Šerić, Ljiljana; Pinjušić, Tomas; Topić, Karlo; Blažević, Tomislav
Lost Person Search Area Prediction Based on Regression and Transfer Learning Models // ISPRS International Journal of Geo-Information, 10 (2021), 2; 80-95 doi:10.3390/ijgi10020080 (međunarodna recenzija, članak, znanstveni)
Šerić, L., Pinjušić, T., Topić, K. & Blažević, T. (2021) Lost Person Search Area Prediction Based on Regression and Transfer Learning Models. ISPRS International Journal of Geo-Information, 10 (2), 80-95 doi:10.3390/ijgi10020080.
@article{article, author = {\v{S}eri\'{c}, Ljiljana and Pinju\v{s}i\'{c}, Tomas and Topi\'{c}, Karlo and Bla\v{z}evi\'{c}, Tomislav}, year = {2021}, pages = {80-95}, DOI = {10.3390/ijgi10020080}, keywords = {search and rescue, machine learning, regression, transfer learning, cellular automata simulation}, journal = {ISPRS International Journal of Geo-Information}, doi = {10.3390/ijgi10020080}, volume = {10}, number = {2}, issn = {2220-9964}, title = {Lost Person Search Area Prediction Based on Regression and Transfer Learning Models}, keyword = {search and rescue, machine learning, regression, transfer learning, cellular automata simulation} }
@article{article, author = {\v{S}eri\'{c}, Ljiljana and Pinju\v{s}i\'{c}, Tomas and Topi\'{c}, Karlo and Bla\v{z}evi\'{c}, Tomislav}, year = {2021}, pages = {80-95}, DOI = {10.3390/ijgi10020080}, keywords = {search and rescue, machine learning, regression, transfer learning, cellular automata simulation}, journal = {ISPRS International Journal of Geo-Information}, doi = {10.3390/ijgi10020080}, volume = {10}, number = {2}, issn = {2220-9964}, title = {Lost Person Search Area Prediction Based on Regression and Transfer Learning Models}, keyword = {search and rescue, machine learning, regression, transfer learning, cellular automata simulation} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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