A reconfigurable embedded vision system for advanced driver assistance

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• 作者：Gorka Velez ; Ainhoa Cortés ; Marcos Nieto…
• 关键词：ADAS ; System on Chip ; Hardware/software codesign ; Embedded systems ; Smart cities
• 刊名：Journal of Real-Time Image Processing
• 出版年：2015
• 出版时间：December 2015
• 年：2015
• 卷：10
• 期：4
• 页码：725-739
• 全文大小：1,356 KB
• 参考文献：1.Aggarwal, A.: Embedded vision system (EVS). In: 2008 IEEE/ASME International Conference on mechatronic and embedded systems and applications. MESA 2008, pp. 618-21 (2008)
  2.An, X., Shang, E., Song, J., Li, J., He, H.: Real-time lane departure warning system based on a single FPGA. EURASIP J. Image Video Process. 1, 1-8 (2013)
  3.Anders, J., Mefenza, M., Bobda, C., Yonga, F., Aklah, Z., Gunn, K.: A hardware/software prototyping system for driving assistance investigations. J. Real Time Image Process. (2013). doi:10.-007/?s11554-013-0351-4
  4.Aurigi, A.: Making the digital city: the early shaping of urban Internet space. Ashgate Publishing, Farnborough (2005)
  5.Batty, M., Axhausen, K., Giannotti, F., Pozdnoukhov, A., Bazzani, A., Wachowicz, M., Ouzounis, G., Portugali, Y.: Smart cities of the future. Eur. Phys. J. Spec. Top. 214(1), 481-18 (2012)CrossRef
  6.Buch, N., Velastin, S., Orwell, J.: A review of computer vision techniques for the analysis of urban traffic. IEEE Trans. Intell. Transp. Syst. 12(3), 920-39 (2011)CrossRef
  7.Chakraborty, S., Lukasiewycz, M., Buckl, C., Fahmy, S., Chang, N., Park, S., Kim, Y., Leteinturier, P., Adlkofer, H.: Embedded systems and software challenges in electric vehicles. In: Proceedings of the Conference on design, automation and test in Europe, DATE -2, pp. 424-29 (2012)
  8.Chang, S.L., Chen, L.S., Chung, Y.C., Chen, S.W.: Automatic license plate recognition. IEEE Trans. Intell. Transp. Syst. 5(1), 42-3 (2004)MathSciNet CrossRef
  9.Darouich, M., Guyetant, S., Lavenier, D.: A reconfigurable disparity engine for stereovision in advanced driver assistance systems. In: Sirisuk, P., Morgan, F., El-Ghazawi, T., Amano, H. (eds.) Reconfigurable Computing: Architectures, Tools and Applications. Lecture Notes in Computer Science, vol. 5992, pp. 306-17. Springer, Berlin (2010)CrossRef
  10.Dong, Y., Hu, Z., Uchimura, K., Murayama, N.: Driver inattention monitoring system for intelligent vehicles: A review. IEEE Trans. Intell. Transp. Syst. 12(2), 596-14 (2011)CrossRef
  11.Geronimo, D., Lopez, A., Sappa, A., Graf, T.: Survey of pedestrian detection for advanced driver assistance systems. IEEE Trans. Pattern Anal. Mach. Intell. 32(7), 1239-258 (2010)CrossRef
  12.Harrison, C., Eckman, B., Hamilton, R., Hartswick, P., Kalagnanam, J., Paraszczak, J., Williams, P.: Foundations for smarter cities. IBM J. Res. Dev. 54(4), 1-6 (2010)CrossRef
  13.Hiraiwa, J., Amano, H.: An FPGA implementation of reconfigurable real-time vision architecture. In: 27th International Conference on advanced information networking and applications Workshops (WAINA), pp. 150-55 (2013)
  14.Hsiao, P.Y., Yeh, C.W.: A portable real-time lane departure warning system based on embedded calculating technique. In: IEEE 63rd Vehicular Technology Conference. VTC 2006-Spring 6:2982-986 (2006)
  15.Jeng, M.J., Guo, C.Y., Shiau, B.C., Chang, L.B., Hsiao, P.Y.: Lane detection system based on software and hardware codesign. In: 4th International Conference on autonomous robots and agents. ICARA 2009, pp. 319-23 (2009)
  16.Lee, S., Son, H., Choi, J.C., Min, K.: High-performance hog feature extractor circuit for driver assistance system. In: 2013 IEEE International Conference on consumer electronics (ICCE), pp. 338-39 (2013)
  17.Lin, H.Y., Chen, L.Q., Lin, Y.H., Yu, M.S.: Lane departure and front collision warning using a single camera. In: 2012 International Symposium on intelligent signal processing and communications systems (ISPACS), pp. 64-9 (2012)
  18.Malinowski, A., Yu, H.: Comparison of embedded system design for industrial applications. IEEE Trans. Ind. Inform. 7(2), 244-54 (2011)CrossRef
  19.Mielke, M., Schafer, A., Bruck, R.: Asic implementation of a gaussian pyramid for use in autonomous mobile robotics. In: 2011 IEEE 54th International Midwest Symposium on Circuits and Systems (MWSCAS), pp. 1- (2011)
  20.Nieto, M., Cortés, A., Otaegui, O., Arróspide, J., Salgado, L.: Real-time lane tracking using rao-blackwellized particle filter. J. Real Time Image Process. (2012). doi:10.-007/?s11554-012-0315-0
  21.Pedre, S., Krajník, T., Todorovich, E., Borensztejn, P.: Accelerating embedded image processing for real time: a case study. J. Real Time Image Process. (2013). doi:10.-007/?s11554-013-0353-2
  22.Samarawickrama, M., Pasqual, A., Rodrigo, R.: FPGA-based compact and flexible architecture for real-time embedded vision systems. In: 2009 International Conference on industrial and information systems (ICIIS), pp. 337-42 (2009)
  23.Sánchez-Oro, J., Fernández-López, D., Cabido, R., Montemayor, A.S., Pantrigo, J.J.: Urban traffic surveillance in smart cities using radar images. In: Ferrández Vicente, J.M., álvarez Sánchez, J.R., Paz López, F., Toledo Moreo, F.J. (eds) Natural and artificial computation in engineering and medical applications, lecture notes in computer science, vol. 7931. Springer, Berlin, pp. 296-05 (2013)
  24.Sanders, L.: Secure boot
• 作者单位：Gorka Velez (1)
  Ainhoa Cortés (2)
  Marcos Nieto (1)
  Igone Vélez (2)
  Oihana Otaegui (1)
  
  1. Vicomtech-IK4, Paseo Mikeletegi 57, Donostia-San Sebastián, Spain
  2. CEIT and Tecnun (University of Navarra), Manuel de Lardizábal 15, Donostia-San Sebastián, Spain
  
• 刊物类别：Computer Science
• 刊物主题：Image Processing and Computer Vision
  Multimedia Information Systems
  Computer Graphics
  Pattern Recognition
  Signal,Image and Speech Processing
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1861-8219

文摘

Computer vision technologies can contribute in many ways to the development of smart cities. In the case of vision applications for advanced driver assistance systems (ADAS), they can help to increase road traffic safety, which is a major concern nowadays. The design of an embedded vision system for driver assistance is not straightforward; several requirements must be addressed such as computational performance, cost, size, power consumption or time-to-market. This paper presents a novel reconfigurable embedded vision system that meets the requirements of ADAS applications. The developed PCB board contains a System on Chip composed of a programmable logic that supports parallel processing necessary for a fast pixel-level analysis, and a microprocessor suited for serial decision making. A lane departure warning system was implemented in the case study, obtaining a better computational performance than the rest of the works found in the literature. Moreover, thanks to the reconfiguration capability of the proposed system a more flexible and extensible solution is obtained. Keywords ADAS System on Chip Hardware/software codesign Embedded systems Smart cities