Smart Rescue Drones to Find Snowslide Victims
Resumo
In the approach of using autonomous robots to find victims on risk zones, there are specific ones that can reach the victims faster, the Unmanned Autonomous Vehicles (UAVs), better known as Drones. For this to happen, artificial intelligence algorithms were designed to teach them to search for the victims faster. On this paper, a simulation of three drones flying on different environments was made based on a Hidden Markov Models with K-NN classifier as an artificial intelligence approach for the learning. The results revealed that for some environments, based on memory to store the paths and the classification of the objects, different hardware settings for the drones can be needed.
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Cozmo. [link]. Accessed: 2018-03-28.
Dyson vacuum cleaner. [link]. Accessed: 2018-03-28.
Araújo, P., Miranda, R., Carmo, D., Alves, R., and Oliveira, L. (2017). Air-sslam: A visual stereo indoor slam for aerial quadrotors. IEEE Geoscience and Remote Sensing Letters, 14(9):1643–1647.
Cong, Y. Z. and Ponnambalam, S. (2009). Mobile robot path planning using ant colony optimization. In Advanced Intelligent Mechatronics, 2009. AIM 2009. IEEE/ASME International Conference on, pages 851–856. IEEE.
Rabiner, L. and Juang, B. (1986). An introduction to hidden markov models. In IEEE ASSP Magazine, pages 4–16. IEEE.
Shi, L., He, Y., and Chang, K. (2016). Acoustic-based classification for drone identification using hidden markov model with mfcc technique. , pages 204–205.
Verykokou, S., Doulamis, A., Athanasiou, G., Ioannidis, C., and Amditis, A. (2016). Uav-based 3d modelling of disaster scenes for urban search and rescue. In Imaging Systems and Techniques (IST), 2016 IEEE International Conference on, pages 106–111. IEEE.
Publicado
25/10/2018
Como Citar
SILVA, Raul S.; COSTA-ABREU, Márjory Da.
Smart Rescue Drones to Find Snowslide Victims. In: WORKSHOP DE TRABALHOS DE INICIAÇÃO CIENTÍFICA E DE GRADUAÇÃO - SIMPÓSIO BRASILEIRO DE SEGURANÇA DA INFORMAÇÃO E DE SISTEMAS COMPUTACIONAIS (SBSEG), 18. , 2018, Natal.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2018
.
p. 181-184.
DOI: https://doi.org/10.5753/sbseg_estendido.2018.4155.
