Abstract
This paper addresses the problem of automatic parking by a back-wheel drive vehicle, using a biomimetic model based on direct coupling between vehicle perceptions and actions. The proposed automatic parking solution leads to a dynamic multiobjective optimization problem that cannot be dealt with analytically. A genetic algorithm is therefore used. The paper ends with a discussion of the results of computer simulations.
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References
Maravall, D., de Lope, J.: A Bio-Inspired Robotic Mechanism for Autonomous Locomotion in Unconventional Environments. In: Zhou, C., Maravall, D., Ruan, D. (eds.) Autonomous Robotic Systems: Soft Computing and Hard Computing Methodologies and Applications, pp. 263–292. Physica, Heidelberg (2003)
Maravall, D., de Lope, J.: A Reinforcement Learning Method for Dynamic Obstacle Avoidance in Robotic Mechanisms. In: Ruan, D., D’Hondt, P., Kerre, E.E. (eds.) Computational Intelligent Systems for Applied Research, pp. 485–494. World Scientific, Singapore (2002)
de Lope, J., Maravall, D.: Integration of Reactive Utilitarian Navigation and Topological Modeling. In: Zhou, C., Maravall, D., Ruan, D. (eds.) Autonomous Robotic Systems: Soft Computing and Hard Computing Methodologies and Applications, pp. 103–139. Physica, Heidelberg (2003)
Maravall, D., de Lope, J.: Integration of Potential Field Theory and Sensory-based Search in Autonomous Navigation. In: 15th IFAC World Congress, International Federation of Automatic Control, Barcelona (2002)
Laumond, J.-P., Jacobs, P.E., Taix, M., Murray, R.M.: A motion planner for nonholonomic mobile robots. IEEE Trans. on Robotics and Automation 10(5), 577–593 (1996)
Paromtchik, I.E., Laugier, C.: Motion generation and control for parking an autonomous vehicle. In: Proc. IEEE Int. Conf. on Robotics and Automation, Minneapolis, pp. 3117–3122 (1996)
Kong, S.G., Kosko, B.: Comparison of fuzzy and neural track backer-upper control systems. In: Kosko, B. (ed.) Neural Networks and Fuzzy Systems, pp. 339–361. Prentice-Hall, Englewood Cliffs (1992)
Gu, D., Hu, H.: Neural predictive control for a car-like mobile robot. Robotics and Autonomous Systems 39, 73–86 (2002)
Hitchings, M., Vlacic, L., Kecman, V.: Fuzzy control. In: Vlacic, L., Parent, M., Harashima, F. (eds.) Intelligent Vehicle Technologies, pp. 289–331. Butterworth&Heinemann, Oxford (2001)
Cordón, O., Herrera, F., Hoffmann, F., Magdalena, L.: Genetic Fuzzy Systems. World Scientific, Singapore (2001)
Chipperfield, A., Fleming, P., Pohlheim, H., Fonseca, C.: Genetic Algorithm Toolbox for Matlab, Department of Automatic Control and Systems Engineering, University of Sheffield (1994)
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© 2004 Springer-Verlag Berlin Heidelberg
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Maravall, D., de Lope, J., Patricio, M.Á. (2004). Competitive Goal Coordination in Automatic Parking. In: Raidl, G.R., et al. Applications of Evolutionary Computing. EvoWorkshops 2004. Lecture Notes in Computer Science, vol 3005. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24653-4_54
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DOI: https://doi.org/10.1007/978-3-540-24653-4_54
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21378-9
Online ISBN: 978-3-540-24653-4
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