Application of High Performance Techniques to Computer Vision Systems for Autonomous Navigation of UAVs
Abstract
The use of UAV (Unmanned Aerial Vehicle) has been the object of study and research since it has numerous applications and advantages in comparasion to larger manned equipment. However, there is still a concern regarding of it‘s autonomous navigation system. Autonomous navigation using GPS-only spatial orientation can cause errors due to noise or attacks on the transmit / receive system. An alternative is the use of the computer vision technique, which includes the acquisition of images in real time by the equipment allowing the control of flight over a predefined trajectory. The image processing used for computer vision presents significant demand for numerical computation, and will be optimized in this work, so that it can execute efficiently on a low consumption GPGPU board, which can be embedded in the UAV.
Keywords:
High performance applications in Agriculture, Biology, Engineering, Phisics, Mathematics, Computer Science, Medicine, Financial Markets, Chemistry, Nanosciences and others, Dedicated and specific architectures (GPUs, FPGAs, others), High Performance Computing
References
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Conte, G. and Doherty, P. (2008). An integrated uav navigation system based on aerial image matching. In 2008 IEEE Aerospace Conference, pages 1–10.
Goltz, G. A. (2011). Redes neurais artificiais em imagens para estimação da posição de um vant. Master’s thesis, Instituto Nacional de Pesquisas Espaciais, São José dos Campos.
Goltz, G. A. M. and Shiguemori, E. H. (2007). Aplicação do algoritmo sift em imagens de navegação autônoma. In Atividades de Pesq.e Desenv. do IEAv, pages 5–12. He, Z. and Siyal, M. Y. (1998). Edge detection with bp neural networks. 2:1382–1384 vol.2.
Li, W., Wang, C., Wang, Q., and Chen, G. (2008). An edge detection method based on optimized bp neural network. In 2008 International Symposium on Information Science and Engineering, volume 2, pages 40–44.
Longhitano, G. A. (2010). Vants para sensoriamento remoto - aplicabilidade na avaliação e monitoramento de impactos ambientais causados por acidentes com cargas perigosas. Master’s thesis, Universidade de São Paulo, São Paulo. NVIDIA (2014). NVIDIA Jetson TX2 - Datasheet. NVIDIA Corporation.
SANTOS, B. A. O. and Shiguemori, E. H. (2009). Determinação de pontos de controle em imagens aereas e de videografia para aplicação na navegação autônoma. In Seminário Anual de Iniciação Cientı́fica e Pós-Graduação do IEAV, pages 41–42.
Valavanis, K. and Vachtsevanos, G. (2014). Handbook of Unmanned Aerial Vehicles. Springer-Verlag GmbH.
Published
2019-04-12
How to Cite
NAGATA, Ronaldo; FAZENDA, Álvaro.
Application of High Performance Techniques to Computer Vision Systems for Autonomous Navigation of UAVs. In: REGIONAL SCHOOL OF HIGH PERFORMANCE COMPUTING FROM SÃO PAULO (ERAD-SP), 10. , 2019, Campinas.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2019
.
p. 9-12.
DOI: https://doi.org/10.5753/eradsp.2019.13585.
