Um framework para coprojeto de hardware e software de sistemas ADAS baseados em visão
Abstract
This paper presents a framework for hardware and software codesign to building systems designed to driver assistant using computer vision. This work is part of a doctoral research project nearing completion. To validate the model, a modular pedestrian detection is implemented by comparing the results obtained with other design.
References
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Baselabs (2016). Baselabs Flexible ADAS Development web site. [Online] Acessado em abril 2016. http://baselabs.de/flexible-adas-development-kopie.html
Bengler, K., Dietmayer, K., Färber, B., Maurer, M., Stiller, C., Winner, H. (2014). “Three Decades of Driver Assistance Systems: Review and Future Perspectives,” IEEE Intell. Transp. Syst. Mag., vol. 6, no. 4, pp. 6 – 22
Blender (2016). Website. [Online] Acessado em abril 2016. https://www.blender.org/
Bluespec (2016). Bluespec SystemVerilog User Guide, [Online]: http://wiki.bluespec.com/Home/BSV-Documentation
Boeing, A.; Braunl, T. (2008) "ImprovCV: Open component based automotive vision," Intelligent Vehicles Symposium, 2008 IEEE , vol., no., p.297,302,4-6.
Comemso (2016). Comemso web site. [Online] Acessado em abril 2016. http://www.comemso.com/index.php/software
Gavrila D., Munder S. (2006). “Multi-cue Pedestrian Detection and Tracking from a Moving Vehicle” International Journal of Computer Vision Springer Science.
Intempora (2016). Intempora web site. [Online] Acessado em abril 2016. http://www.intempora.com
ITRS (2011), International Technology Roadmap for semiconductors. [Online] Acessado em abril 2016. http://www.itrs.net/Links/2011ITRS/2011Chapters/2011SysDrivers.pdf
Jalalian, A., Fathy, M. (2008). Pedestrian Detection from a Moving Camera with an Advanced Camera-Motion Estimator. Third International IEEE Conference on Signal-Image Technologies and Internet-Based System.
Kisačanin, B., Gelautz, M. (2014). Advances in Embedded Computer Vision, Springer.
LabVIEW (2016). LabVIEW web site. [Online] Acessado em abril, 2016. http://www.ni.com/labview
Lobo, T. M. (2009). Co-projeto hardware/software para cálculo de fluxo ótico. [Online] Acessado em abril 2016. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-28082013-094816/en.php
Martinez, L. A. (2011). Projeto de um sistema embarcado de predição de colisão a pedestres baseado em computação reconfigurável. [Online] Acessado em abril 2016. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-27022012-110356/pt-br.php
MIT (2011). MIT 6.375 web site. [Online] Acessado em abril 2016, http://csg.csail.mit.edu/6.375/6_375_2011_www/projects.html.
NIOS II (2016). Altera NIOS II Hardware Tutorial web site. [Online] Acessado em abril 2016. http://www.altera.com/literature/tt/tt_nios2_hardware_tutorial.pdf
MATLAB (2016). MATLAB HDL Coder web site. [Online] Acessado em abril 2016. http://www.mathworks.com/fpga-design/hardware-software-codesign.html
MontiVision (2016). MontiVision Development Kit (SDK) web site. [Online] Acessado em abril 2016. http://www.montivision.com
OpenCV (2016). web site. [Online] Acessado em abril 2016. http://www.opencv.org
Stratix V (2013). Stratix V Development Board Reference Manual. [Online] Acessado em abril. http://www.altera.com/literature/manual/rm_svgx_fpga_dev_board.pdf
Terasic (2016). Terasic DE2i-150 FGA Development Kit. web site. [Online] Acessado em abril 2016. http://www.terasic.com.tw/cgibin/page/archive.pl?Language=English&CategoryNo=11&No=529&PartNo=1
Published
2016-07-04
How to Cite
MARTINEZ, Leandro A.; LOBO, Tiago; MARQUES, Eduardo.
Um framework para coprojeto de hardware e software de sistemas ADAS baseados em visão. In: INTEGRATED SOFTWARE AND HARDWARE SEMINAR (SEMISH), 43. , 2016, Porto Alegre.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2016
.
p. 1692-1702.
ISSN 2595-6205.
DOI: https://doi.org/10.5753/semish.2016.9519.
