Auto-Parking System via Intelligent Computation Intelligence
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.
[1] Y. Suryana, S. Yasunobu, and N. Suetake, "PSP-learning design of
hierarchical intelligent controller for nonholonomic vehicle," in 2002
IEEE Int. Conf. Fuzzy Systems, Honolulu, 2002, pp. 1304-1309.
[2] X. Ren and Z. Cai, "Kinematics model of unmanned driving vehicle," in
2010 8th World Congress on Intelligent Control and Automation, WCICA
2010, Jinan, 2010, pp. 5910-5914.
[3] F. Gomez-Bravo, F. Cuesta, and A. Ollero, "Parallel and diagonal parking
in nonholonomic autonomous vehicles," Eng. Appl. Artif. Intell., vol. 14,
pp. 419-434, 2001.
[4] K. Kinoshita and S. Yasunobu, "Intelligent parking support system for
four-wheeled vehicles in consideration of human's operation error," in
2004 IEEE Int. Conf. Systems, Man and Cybernetics, SMC 2004, The Hague, 2004, pp. 3938-3943
[5] L. Liang, Z. Lei, and X. Jin, "The simulation of an auto-parking system,"
in 2011 6th IEEE Conf. Industrial Electronics and Applications, ICIEA
2011, Beijing, 2011, pp. 249-253.
[6] C. Laugier, T. Fraichard, P. Garnier, I. E. Paromtchik, and A. Scheuer,
"Sensor-based control architecture for a car-like vehicle," Auton. Robot.,
vol. 6, pp. 165-185, 1999.
[7] Y. Huang, Q. Cao, and C. Leng, "The path-tracking controller based on
dynamic model with slip for one four-wheeled OMR," Industrial Robot,
vol. 37, pp. 193-201, 2010.
[8] C. S. Chiu, K. Y. Lian, and P. Liu, "Fuzzy gain scheduling for parallel
parking a car-like robot," IEEE Trans. Control Syst. Technol., vol. 13, pp.
1084-1092, 2005.
[9] S. Kurnaz, O. Cetin, and O. Kaynak, "Fuzzy logic based approach to
design of flight control and navigation tasks for autonomous unmanned
aerial vehicles," J. Intell. Rob. Syst., vol. 54, pp. 229-244, 2009.
[10] J. R. Canning, D. B. Edwards, and M. J. Anderson, "Development of a
fuzzy logic controller for autonomous forest path navigation,"
Transactions of the ASAE, vol. 47, pp. 301-310, 2004.
[11] F. M. Raimondi and L. S. Ciancimino, "Intelligent neuro-fuzzy dynamic
path following for car-like vehicle," in 10th International Workshop on
Advanced Motion Control, AMC'08, Trento, 2008, pp. 744-750.
[12] E. Sifuentes, O. Casas, and R. Pallas-Areny, "Wireless magnetic sensor
node for vehicle detection with optical wake-up," IEEE Sensors J., vol.
11, pp. 1669-1676, 2011.
[1] Y. Suryana, S. Yasunobu, and N. Suetake, "PSP-learning design of
hierarchical intelligent controller for nonholonomic vehicle," in 2002
IEEE Int. Conf. Fuzzy Systems, Honolulu, 2002, pp. 1304-1309.
[2] X. Ren and Z. Cai, "Kinematics model of unmanned driving vehicle," in
2010 8th World Congress on Intelligent Control and Automation, WCICA
2010, Jinan, 2010, pp. 5910-5914.
[3] F. Gomez-Bravo, F. Cuesta, and A. Ollero, "Parallel and diagonal parking
in nonholonomic autonomous vehicles," Eng. Appl. Artif. Intell., vol. 14,
pp. 419-434, 2001.
[4] K. Kinoshita and S. Yasunobu, "Intelligent parking support system for
four-wheeled vehicles in consideration of human's operation error," in
2004 IEEE Int. Conf. Systems, Man and Cybernetics, SMC 2004, The Hague, 2004, pp. 3938-3943
[5] L. Liang, Z. Lei, and X. Jin, "The simulation of an auto-parking system,"
in 2011 6th IEEE Conf. Industrial Electronics and Applications, ICIEA
2011, Beijing, 2011, pp. 249-253.
[6] C. Laugier, T. Fraichard, P. Garnier, I. E. Paromtchik, and A. Scheuer,
"Sensor-based control architecture for a car-like vehicle," Auton. Robot.,
vol. 6, pp. 165-185, 1999.
[7] Y. Huang, Q. Cao, and C. Leng, "The path-tracking controller based on
dynamic model with slip for one four-wheeled OMR," Industrial Robot,
vol. 37, pp. 193-201, 2010.
[8] C. S. Chiu, K. Y. Lian, and P. Liu, "Fuzzy gain scheduling for parallel
parking a car-like robot," IEEE Trans. Control Syst. Technol., vol. 13, pp.
1084-1092, 2005.
[9] S. Kurnaz, O. Cetin, and O. Kaynak, "Fuzzy logic based approach to
design of flight control and navigation tasks for autonomous unmanned
aerial vehicles," J. Intell. Rob. Syst., vol. 54, pp. 229-244, 2009.
[10] J. R. Canning, D. B. Edwards, and M. J. Anderson, "Development of a
fuzzy logic controller for autonomous forest path navigation,"
Transactions of the ASAE, vol. 47, pp. 301-310, 2004.
[11] F. M. Raimondi and L. S. Ciancimino, "Intelligent neuro-fuzzy dynamic
path following for car-like vehicle," in 10th International Workshop on
Advanced Motion Control, AMC'08, Trento, 2008, pp. 744-750.
[12] E. Sifuentes, O. Casas, and R. Pallas-Areny, "Wireless magnetic sensor
node for vehicle detection with optical wake-up," IEEE Sensors J., vol.
11, pp. 1669-1676, 2011.
@article{"International Journal of Information, Control and Computer Sciences:62277", author = "Y. J. Huang and C. H. Chang", title = "Auto-Parking System via Intelligent Computation Intelligence", 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.
", keywords = "Auto-parking system, Fuzzy control, Neural network, Robust", volume = "6", number = "5", pages = "701-4", }
