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International Journal of Latest Research in Science and Technology

DOI:10.29111/ijlrst   ISRA Impact Factor:3.35,  Peer-reviewed, Open-access Journal

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A Computer Vision-Based Driver Assistance System for Implementation on Reconfigurable Hardware

Research Paper Open Access

International Journal of Latest Research in Science and Technology Vol.3 Issue 1, pp 1-8,Year 2014

A COMPUTER VISION-BASED DRIVER ASSISTANCE SYSTEM FOR IMPLEMENTATION ON RECONFIGURABLE HARDWARE

Ricardo Acevedo, Miguel Gonzalez,Andres Garcia

Correspondence should be addressed to :

Received : 12 February 2014; Accepted : 19 February 2014 ; Published : 28 February 2014

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Abstract

This paper presents the design of a driver assistance system based on computer vision that provides information about the environment and the vehicle’s current driving state. The system has been developed to be implemented on an embedded computation platform. Physical limitations such as memory and computing power are a major concern; this renders existing image processing algorithms based on PC platforms unsuitable for direct use in this application. Instead, simplified and efficient image processing algorithms must first be developed for deployment on a reconfigurable architecture. The driver assistance system provides three main functionalities: Lane Detection, Lane-Change Detection and Obstacle Detection. The core algorithms have been realized as custom hardware co-processors to be executed on Field Programmable Gate Array (FPGA) hardware, a soft-core CPU performs general system control and final decision making based on co-processor output.

Key Words   
Embedded System Design; Image Processing; Hardware Development; Embedded Computer

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References
  1. The World Health Organization “The top 10 causes of Death” (online) http://www.who.int/mediacentre/factsheets/fs310/en/index.html (Accessed May 2013).
  2. World Health Organization World Report on Road Traffic Injury Prevention Edited by Margie Peden. Genova, 2004.
  3. Ratha, N.K., et al, (1997) “FPGA-Based Computing in Computer Vision” Computer Architecture for Machine Perception. CAMP '97. pp. 128--135.
  4. Duncan ,  Buell, Jeffrey  M  Arnold, and Walter J.  (1996) “Splash  2: FPGAs for Custom Computing Machines” Kleinfelder, Eds., IEEE Computer Society Press, Los Alamitos.
  5. Nissan's. “All Around Collision Free Prototype” [online] http://www.nissan-global.com/EN/NEWS/2008/\_STORY/081111-02-e.html (Accessed May 2013).
  6. Khan, J., Niar S., Saghir M., El-Hillali, Y. and Rivenq A. (2009) “Driver Assistance System Design and its Optimization for FPGA Based MPSoC” Application Specific Processors, 2009. SASP '09. IEEE 7th Symposium, San Francisco, CA. pp. 62—64
  7. Honda Motor Company. “Honda Completes Development of ASV-3” (2005) [online] http://www.rpec.co.uk/archive/Honda\%20ASV.pdf (Accessed May 2013)
  8. Bertozzi, M., Broggi, A. and Fascioli, A. (2000) “Vision-based intelligent vehicles: State of the art and perspectives”, Robot. Auton. Syst., Vol. 32, No.1 pp. 1-–16.
  9. Feixiang, R., Jinsheng, H., Ruyi, J. and Reinhard, K. (2009) “Lane Detection on the iPhone” Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Vol. 30, 2010, pp. 198--205.
  10. Cario G., Casavola, A., Franze, G., Lupia, M. and Brasili, G. (2009) “Predictive Time-To-Lane-Crossing Estimation For Lane Departure Warning Systems” Paper Number 09-0312 Universit`a degli Studi della Calabri, Italia.
  11. Broggi, A. (1995), “An Image Reorganization Procedure for Automative Road Following Systems”. International Conference on Image Processing. IEEE Computer Society. Vol. 3. 1995. pp. 532--535.
  12. Serra, J. (1983), “Image analysis and mathematic morphology”, Academic Press, Inc. Orlando, FL, USA.
  13. Coifman, B., Beymer, D., McLauchlan, P. and Malik, J. (1998) “A Real-Time Computer Vision system for Vehicle Tracking and Traffic Surveillance” Transportation Research Part C: Emerging Technologies} Vol. 6, No. 4, August 1998, pp. 271–-288.
  14. Donald, J. (2001) “Application of the Hough Transform to Lane Detection and Following on High Speed Roads” Signals Systems Group, Department of Computer Science, National University of Ireland. Maynooth, Ireland.
  15. Yang, G. (2005), “Computer Vision Hough Transform” Department of Computing, Imperial College. 2005, London.
  16. Mallot, H., Bülthoff, H., Little, J., and Bohrer, S. (1991) “Inverse Perspective  Mapping simplifies  Optical  Flow  computation” Biological Cybernetics.  January 1991, Vol. 64, No. 3, pp. 177--185.
  17. Reis, B., Teixeira, J., Teichrieb, V. and KElner, J.(2009) “Perspective Correction Implementation for Embedded (Marker-Based) Augmented Reality”. Universidad de Federal de Pernambuco, Centro de Informática, Grupo de Pesquisa em Realidad Virtual e Multimídia., 2009, Brasil.
  18. Hartley, R., and Zisserman, A. (2003) “Multiple View Geometry in Computer Vision” Second Edition, Cambridge University Press., Cambridge, UK.
  19. Lipski, C., Scholz,B., Berger, K., Linz, C., Stich, T. and Magnor, M. (2008) “A Fast and Robust Approach to Lane Marking Detection and Lane Tracking” SSIAI '08 Proceedings of the 2008 IEEE Southwest Symposium on Image Analysis and Interpretation. pp. 57--60.
To cite this article

Ricardo Acevedo, Miguel Gonzalez,Andres Garcia , " A Computer Vision-based Driver Assistance System For Implementation On Reconfigurable Hardware ", International Journal of Latest Research in Science and Technology . Vol. 3, Issue 1, pp 1-8 , 2014

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