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Research on Fuzzy Control Strategy for Intelligent Anti-rear-end of Automobile

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Proceedings of the 9th International Conference on Computer Engineering and Networks

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1143))

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Abstract

The purpose of this paper is to develop an automatic anti-rear-end collision warning system (ARCWS) with duel-cored technique. ARCWS takes use of information technology and fuzzy system, put STM32 as the center controlling and design DSP as the data processing. The paper introduces the working theory, the inner structure and the role of each module works. ARCWS can provide earlier warning and assistant brake for drivers so that to improve driving safety. Therefore, with its novel structure and simple operation, ARCWS would have good practical value and favorable popularization prospect.

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References

  1. Bansal, G., Kenney, J.B., Rohrs, C.E.: LIMERIC: a linear adaptive message rate algorithm for DSRC congestion control. IEEE Trans. Veh. Technol. 62(9), 4182–4197 (2013)

    Google Scholar 

  2. Sheng, H.: Research on if filter used in FMCW millimeter-wave radar. J. Infrared Millim. Waves 20(6), 472–476 (2001)

    Google Scholar 

  3. Zhang, X., Zhang, H.P.: Research and design of ranging alarm system based on infrared sensor in Chinese. Coal Technol. 34(11), 287–290 (2015)

    Google Scholar 

  4. Yuan, J.: Design of High Precision Ultrasonic Ranging System Based on STM32 Single Chip Microcomputer in Chinese. North China Electric Power University (2012)

    Google Scholar 

  5. Wang, Y.: Research on Vehicle Front Moving Target Detection and Ranging Technology Based on Binocular Vision in Chinese. Tianjin University of Technology (2019)

    Google Scholar 

  6. Sasaki, N., Iijima, N., Uchiyama, D.: Development of ranging method for inter-vehicle distance using visible light communication and image processing. In: International Conference on Control (2015)

    Google Scholar 

  7. Zeng, L.Q.: Research on Direction Modulation Technology in Millimeter Wave Communication in Chinese. University of Electronic Science and Technology (2018)

    Google Scholar 

  8. Zhang, X.B., Huang, D.K., Zhou, X.J., Lu, D.L.: Anti-control vehicle rear-end intelligent technology in Chinese. Microcomput. Appl. 29(11), 20–22 (2013)

    Google Scholar 

  9. Fang, W.: Design and Research of Anti-collision Collision System for Highway Vehicles Based on DSRC in Chinese. Hunan University (2017)

    Google Scholar 

  10. Gan, N.T., Chen, L.S.: Research on fuzzy control rule of anti-vehicle rear-end collision by Matlab and Simulink. Adv. Mater. Res. 3, 308–310 (2011)

    Google Scholar 

  11. Wei, Z., Xiang, S., Xuan, D., et al.: An adaptive vehicle rear-end collision warning algorithm based on neural network. Commun. Comput. Inf. Sci. 236, 305–314 (2011)

    Google Scholar 

  12. Hu, M.J., Ge, R.H., Su, Q.Z.: Research on vehicle rear-end prediction method based on GA-SVM in Chinese. Automob. Technol. (11), 24–26, 49 (2012)

    Google Scholar 

  13. Li, M.: Application of Multi-sensor Cooperative Signal Detection Method in Automobile Anti-collision Alarm in Chinese. University of Electronic Science and Technology (2016)

    Google Scholar 

  14. Zadeh, L.A.: Fuzzy sets. Inf. Control 8(3), 338–53 (1965)

    Google Scholar 

  15. Tian, Z.W.: Mathematical model of safety distance for automobile anti-tailing warning system. J. Wuhan Univ. Technol. (Inf. Manag. Eng.) 31(04), 590–593 (2009)

    Google Scholar 

  16. Shi, X.M., Hao, Z.Q.: Fuzzy Control Machine MATLAB Simulation in Chinese. Tsinghua University Press/Jiaotong University Press, Beijing (2008)

    Google Scholar 

  17. Liu, Y.: Design of electronic speedometer based on hall sensor in Chinese. Mod. Comput. (Prof. Ed.) (26), 36–38, 42 (2017)

    Google Scholar 

  18. Zhou, J.W.: Research and Development of Automobile Anti-tailing Warning System in Chinese. Chongqing Jiaotong University (2018)

    Google Scholar 

  19. Cuma, M.U., Ahmet, T., Mehmet, T., et al.: Experimental architecture of a DSP based signal generation for PWM inverter. Comput. Appl. Eng. Educ. 19(3), 561–571 (2011)

    Article  Google Scholar 

  20. Zhong, F., Zhong, S.T.: Application research of Mamdani and Sugeno type fuzzy reasoning in Chinese. J. Hubei Univ. Technol. 02, 28–30 (2005)

    Google Scholar 

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Correspondence to Xianbo Sun .

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Cai, S., Sun, X., Huang, Y., Liu, H. (2021). Research on Fuzzy Control Strategy for Intelligent Anti-rear-end of Automobile. In: Liu, Q., Liu, X., Li, L., Zhou, H., Zhao, HH. (eds) Proceedings of the 9th International Conference on Computer Engineering and Networks . Advances in Intelligent Systems and Computing, vol 1143. Springer, Singapore. https://doi.org/10.1007/978-981-15-3753-0_17

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