• No results found

Den internasjonale konvensjon om erstatningsansvar for bunkersoljesølskade, 2001

In document Overenskomster med fremmede stater (sider 58-73)

Como trabalhos futuros, sugere-se:

• A implementação e adaptação das arquiteturas propostas (MHU, módulo de Predição e/ou Estimação) para plataformas robóticas com pequena dimensão e consumo, usados na área da micro-robótica;

• A implementação de um periférico DMA (do inglês Direct Memory Access) para transfe- rência de dados entre hardware e software, com a ideia de diminuir o tempo de execução da implementação HW/SW;

• A implementação do algoritmo EKF em hardware adicionando sensores como o caso de um giroscópio, com objetivo de melhorar a etapa de estimação do algoritmo;

• A implementação de um módulo dedicado à tarefa de mapeamento, para ser usado com o módulo de localização proposto no presente trabalho, tendo em mente abordar a questão do SLAM (localização e mapeamento simultâneo);

• A implementação do algoritmo UKF em hardware orientado para problemas de robótica móvel.

REFERÊNCIAS BIBLIOGRÁFICAS

[1] SIEGWART, R.; NOURBAKHSH, I. R. Introduction to Autonomous Mobile Robots. Cam- bridge, MA, USA: The MIT Press, 2004.

[2] KOZLOWSKI, K.; PAZDERSKI, D. Modeling and control of a 4-wheel skid-steering mobile robot. International Journal of Applied Mathematics and Computer Science, University of Zielona Gora Press, v. 14, n. 4, p. 477–496, 2004.

[3] MUNOZ, D. M. Otimização por inteligência de exames usando arquiteturas paralelas para

aplicações embarcadas. Tese (Doutorado) — Universidade de Brasília, Brazil, 2012.

[4] MUNOZ, D. M. et al. FPGA-based floating-point library for CORDIC algorithms. In: Pro-

grammable Logic Conference (SPL), 2010 VI Southern. Porto de Galinhas, Brazil: [s.n.], 2010.

p. 55–60.

[5] CRUZ, S. M. Implementação de um Filtro de Kalman Estendido em Arquiteturas Reconfigurá-

veis ao problema de localização em Robótica Móvel. Dissertação (Mestrado) — Departamento

da Engenharia Mecânica - Universidade de Brasília, Brasília, DF, Brasil, Abril 2013.

[6] VENTURA, J. M. V. Estudo de Coordenação de Robôs Móveis com Obstáculos. Dissertação (Mestrado) — Escola de Engenharia de São Carlos - Universidade de São Paulo, São Carlos, SP, Brasil, Setembro 2011.

[7] BATURONE, I.; GERSNOVIEZ, A.; BARRIGA, A. Neuro-fuzzy techniques to optimize an fpgaembedded controller for robot navigation. AppliedSoftComputing, Elsevier, v. 21, p. 95–1062, 2014.

[8] RODRIGUES, J.; FERREIRA, J. FPGA-based rectification of stereo images. In: Design

and Architectures for Signal and Image Processing (DASIP), 2010 Conference on. [S.l.: s.n.],

2010. p. 199–206.

[9] CRUZ, S. et al. A hardware approach for solving the robot localization problem using a sequential EKF. In: Parallel and Distributed Processing Symposium Workshops PhD Forum

[10] CONDE, M. et al. An efficient data fusion architecture for infrared and ultrasonic sen- sors, using FPGA. In: Circuits and Systems (LASCAS), 2013 IEEE Fourth Latin American

Symposium on. [S.l.: s.n.], 2013. p. 1–4.

[11] WOF, W. High-Performance Embedded Computing, Architectures, Applications, and

Methodologies. [S.l.]: Elsevier Science, 2007.

[12] PTC. Systems engineering: Development of mechatronics and software need to be integrated closely. In: . [S.l.]: Parametric Technology Corporation (PTC), 2012.

[13] MATLAB. version 7.10.0 (R2010a). Natick, Massachusetts: The MathWorks Inc., 2010.

[14] BARROS, E. et al. Hardware/software co-design: projetando hardware e software concor-

rentemente. [S.l.]: IME-USP, 2000.

[15] HARTENSTEIN, R. Why we need reconfigurable computing education. In: 1st Interna-

tional Workshop on Reconfigurable Computing Education. Karlsruhe, Germany: [s.n.], 2006.

Disponível em: <http://fpl.org/RCeducation/>.

[16] SASS, R.; SCHMIDT, A. Embedded Systems Design with Platform FPGAs: Principles

and Practices. Elsevier Science, 2010. (Titolo collana). ISBN 9780123743336. Disponível em: <http://books.google.com.br/books?id=Ki7zs-Ex2d0C>.

[17] GAJSKI, D. et al. Embedded System Design: Modeling, Synthesis and Verification. New York, NY, USA: Springer, 2009. ISBN 9781441905031.

[18] SAMSUNG TELECOMMUNICATIONS AMERICA. "Samsung Galaxy S5 - User

Manual". 2014. Disponível em: <http://www.samsung.com/us/mobile/cell-phones/SM-

G900TRKATMB>.

[19] PATTERSON, D. A.; HENNESSY, J. L. Computer Organization and Design, Fifth Edi-

tion: The Hardware/Software Interface. 5th. ed. San Francisco, CA, USA: Morgan Kaufmann

Publishers Inc., 2013. ISBN 0124077269, 9780124077263.

[20] BONATO, V.; MARQUES, E.; CONSTANTINIDES, G. A floating-point extended kal- man filter implementation for autonomous mobile robots. In: Field Programmable Logic and

Applications, 2007. FPL 2007. International Conference on. [S.l.: s.n.], 2007. p. 576 –579.

[21] BONATO, V. Proposal of an FPGA hardware architecture for SLAM using multi-cameras

and applied to mobile robotics. Tese (Doutorado) — Institute of Computer Science and Com-

putational Mathematics - University of São Paulo, São Carlos, SP, Brazil, January 2008.

[22] TERASIC. "Altera DE-115 Development and Education Board". 2012. Disponível em:

[23] ADEPT MOBILE ROBOTS. "P3-AT Datasheet". 2012. Disponível em:

<http://www.mobilerobots.com/Libraries/Downloads>.

[24] CONDE, M. Implementação da Técnica de Zona Virtual Deformável em um Sistema Embar-

cado Baseado em FPGA. Dissertação (Mestrado) — Departamento da Engenharia Mecânica

- Universidade de Brasília, Brasília, DF, Brasil, Dezembro 2013.

[25] KAM, M.; ZHU, X.; KALATA, P. Sensor fusion for mobile robot navigation. Proceedings

of the IEEE, v. 85, n. 1, p. 108 – 119, jan. 1997. ISSN 0018-9219.

[26] THRUN, S.; BURGARD, W.; FOX, D. Probabilistic Robotics. Cambridge, MA, USA: The MIT Press, 2005.

[27] BONATO, V. et al. An FPGA implementation for a kalman filter with application to mobile robotics. In: Industrial Embedded Systems, 2007. SIES ’07. International Symposium on. [S.l.: s.n.], 2007. p. 148 –155.

[28] CRUZ, S. et al. FPGA implementation of a sequential Extended Kalman Filter algorithm applied to mobile robotics localization problem. In: Circuits and Systems (LASCAS), 2013

IEEE Fourth Latin American Symposium on. [S.l.: s.n.], 2013. p. 1–4.

[29] DELLAERT, F. et al. Monte Carlo localization for mobile robots. In: Robotics and Auto-

mation, 1999. Proceedings. 1999 IEEE International Conference on. [S.l.: s.n.], 1999. v. 2, p.

1322 –1328 vol.2. ISSN 1050-4729.

[30] COUTO, L. N. Sistema para localização robótica de veículos autônomos baseado em vi-

são computacional por pontos de referência. Dissertação (Mestrado) — Instituto de Ciências

Matemáticas e de Computação - Universidade de São Paulo, São Carlos, SP, Brasil, Julho 2012.

[31] KALMAN, R. E. A new approach to linear filtering and prediction problems. Journal of

Basic Engineering, v. 82 (Series D), p. 35–45, 1960.

[32] MINGAS, G.; TSARDOULIAS, E.; PETROU, L. An FPGA imple-

mentation of the SMG-SLAM algorithm. Microprocessors and Microsys-

tems, v. 36, n. 3, p. 190 – 204, 2012. ISSN 0141-9331. Disponível em:

<http://www.sciencedirect.com/science/article/pii/S0141933111001244>.

[33] GHORBEL, A. et al. A HW/SW implementation on FPGA of a robot localization algo- rithm. In: Systems, Signals and Devices (SSD), 2012 9th International Multi-Conference on. [S.l.: s.n.], 2012. p. 1 –7.

[34] LIU, Y.; BOUGANIS, C.-S.; CHEUNG, P. Efficient mapping of a Kalman filter into an FPGA using Taylor Expansion. In: Field Programmable Logic and Applications, 2007. FPL

2007. International Conference on. [S.l.: s.n.], 2007. p. 345 –350.

[35] BIERMAN, G. J. Factorization methods for discrete sequential estimation. [S.l.]: Academic Press, 1977.

[36] THORNTON, C. L. Triangular covariance factorizations for kalman filtering. Tese (Dou- torado) — School of Engineering - University of California, 1976.

[37] MANDOW, A. et al. Experimental kinematics for wheeled skid-steer mobile robots. In:

Intelligent Robots and Systems, 2007. IROS 2007. IEEE/RSJ International Conference on.

[S.l.: s.n.], 2007. p. 1222–1227.

[38] DIXON, W. et al. Nonlinear Control of Wheeled Mobile Robots. [S.l.]: Springer-Verlag, 2001.

[39] DIXON, W. et al. Nonlinear Control of Engineering Systems, A Lyapunov-Based Approach. Boston, USA: Birkhauser, 2003.

[40] PEDRAZA, S. et al. A motion control approach for a tracked mobile robot. In: Proc. of the

4th IFAC International Symposium on Intelligent Components and Instruments for Control Applications. Buenos Aires, Argentina: [s.n.], 2000. p. 147–152.

[41] PAZDERSKI, D.; KOZLOWSKI, K.; LAWNICZAK, M. Practical stabilization of 4wd skidsteering mobile robot. In: Proc. of the Fourth International Workshop on Robot Motion

and Control. Puszczykowo: [s.n.], 2004. p. 175–180.

[42] PAZDERSKI, D.; KOZLOWSKI, K.; DIXON, W. Tracking and regulation control of a skid steering vehicle. In: American Nuclear Society Tenth International Topical Meeting on

Robotics and Remote Systems. Gainesville, Florida: [s.n.], March 28–April 1 2004. p. 369–376.

[43] AGUIRRE, L. A. Introdução à Identificação de Sistemas: Técnicas Lineares e Não-Lineares

Aplicadas a Sistemas Reais. 3rd. ed. Belo Horizonte, Brasil: Editora UFMG, 2007.

[44] ARIAS-GARCIA, J. et al. A suitable FPGA implementation of floating-point matrix inver- sion based on Gauss-Jordan elimination. In: Programmable Logic (SPL), 2011 VII Southern

Conference on. [S.l.: s.n.], 2011. p. 263 –268.

[45] WANG, X. Variable Precision Floating-point Divide and Square Root for Efficient FPGA

Implementation of Image and Signal Processing Algorithms. Tese (Doutorado) — Northeas-

tern University, USA, 2007.

[47] VALLEJO, M. L. L.; RODRIGO, J. L. A. FPGA: Nociones básicas y Implementación. [S.l.], April 2004. Department of Electronic Engineer, Polytechnic University of Madrid.

[48] SANCHEZ, D. F. et al. Parameterizable floating-point library for arithmetic operations in FPGAs. In: Proceedings of the 22nd Annual Symposium on Integrated Circuits and System

Design: Chip on the Dunes. New York, NY, USA: ACM, 2009. (SBCCI ’09), p. 40:1–40:6.

ISBN 978-1-60558-705-9. Disponível em: <http://doi.acm.org/10.1145/1601896.1601948>.

[49] MUNOZ, D. M. et al. Tradeoff of FPGA design of a floating-point library for arithmetic operators. Journal of Integrated Circuits and Systems, v. 5, n. 1, p. 42–52, 2010.

[50] MARKSTEIN, P. Software division and square root using goldschmidt’s algorithms. In:

Proc. Conference on Real Nambers ans Computers. Dagstuhl, Germany: RNC, 2004. p. 146–

157.

[51] ALTERA. "Quartus II Handbook". 2012. Disponível em:

<http://www.altera.com/literature/>.

[52] ALTERA. "ModelSim-Altera Start Edition". 2012. Disponível em:

A.

SENSORES

In document Overenskomster med fremmede stater (sider 58-73)