{"title":"Auto-Parking System via Intelligent Computation Intelligence","authors":"Y. J. Huang, C. H. Chang","volume":65,"journal":"International Journal of Electrical and Computer Engineering","pagesStart":687,"pagesEnd":691,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/13255","abstract":"
In this paper, an intelligent automatic parking control method is proposed. First, the dynamical equation of the rear parking control is derived. Then a fuzzy logic control is proposed to perform the parking planning process. Further, a rear neural network is proposed for the steering control. Through the simulations and experiments, the intelligent auto-parking mode controllers have been shown to achieve the demanded goals with satisfactory control performance and to guarantee the system robustness under parametric variations and external disturbances. To improve some shortcomings and limitations in conventional parking mode control and further to reduce consumption time and prime cost.<\/p>\r\n","references":"[1] Y. Suryana, S. Yasunobu, and N. Suetake, \"PSP-learning design of\r\nhierarchical intelligent controller for nonholonomic vehicle,\" in 2002\r\nIEEE Int. Conf. Fuzzy Systems, Honolulu, 2002, pp. 1304-1309.\r\n[2] X. Ren and Z. Cai, \"Kinematics model of unmanned driving vehicle,\" in\r\n2010 8th World Congress on Intelligent Control and Automation, WCICA\r\n2010, Jinan, 2010, pp. 5910-5914.\r\n[3] F. Gomez-Bravo, F. Cuesta, and A. Ollero, \"Parallel and diagonal parking\r\nin nonholonomic autonomous vehicles,\" Eng. Appl. Artif. Intell., vol. 14,\r\npp. 419-434, 2001.\r\n[4] K. Kinoshita and S. Yasunobu, \"Intelligent parking support system for\r\nfour-wheeled vehicles in consideration of human's operation error,\" in\r\n2004 IEEE Int. Conf. Systems, Man and Cybernetics, SMC 2004, The Hague, 2004, pp. 3938-3943\r\n[5] L. Liang, Z. Lei, and X. Jin, \"The simulation of an auto-parking system,\"\r\nin 2011 6th IEEE Conf. Industrial Electronics and Applications, ICIEA\r\n2011, Beijing, 2011, pp. 249-253.\r\n[6] C. Laugier, T. Fraichard, P. Garnier, I. E. Paromtchik, and A. Scheuer,\r\n\"Sensor-based control architecture for a car-like vehicle,\" Auton. Robot.,\r\nvol. 6, pp. 165-185, 1999.\r\n[7] Y. Huang, Q. Cao, and C. Leng, \"The path-tracking controller based on\r\ndynamic model with slip for one four-wheeled OMR,\" Industrial Robot,\r\nvol. 37, pp. 193-201, 2010.\r\n[8] C. S. Chiu, K. Y. Lian, and P. Liu, \"Fuzzy gain scheduling for parallel\r\nparking a car-like robot,\" IEEE Trans. Control Syst. Technol., vol. 13, pp.\r\n1084-1092, 2005.\r\n[9] S. Kurnaz, O. Cetin, and O. Kaynak, \"Fuzzy logic based approach to\r\ndesign of flight control and navigation tasks for autonomous unmanned\r\naerial vehicles,\" J. Intell. Rob. Syst., vol. 54, pp. 229-244, 2009.\r\n[10] J. R. Canning, D. B. Edwards, and M. J. Anderson, \"Development of a\r\nfuzzy logic controller for autonomous forest path navigation,\"\r\nTransactions of the ASAE, vol. 47, pp. 301-310, 2004.\r\n[11] F. M. Raimondi and L. S. Ciancimino, \"Intelligent neuro-fuzzy dynamic\r\npath following for car-like vehicle,\" in 10th International Workshop on\r\nAdvanced Motion Control, AMC'08, Trento, 2008, pp. 744-750.\r\n[12] E. Sifuentes, O. Casas, and R. Pallas-Areny, \"Wireless magnetic sensor\r\nnode for vehicle detection with optical wake-up,\" IEEE Sensors J., vol.\r\n11, pp. 1669-1676, 2011.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 65, 2012"}