Implementation of a Semi-Active Parking Assistance System

Article Preview

Abstract:

This paper presents a novel approach to solve semi-active non-holonomic vehicle-parking assistant problem. This system can be automatically drive a vehicle and can be used during day or and night. A robust algorithm for this system is developed and embedded controller hardware is designed and programmed to parallel parking maneuver. In this approach, infrared distance sensor is mounted on the car to find parking space, localize the vehicle position and avoid obstacles. Experimental and simulation results show good performance in the algorithm for parking system under parallel parking. Parking maneuver is safer and efficient through using these advanced safety techniques for parking. Simulation results obtained with the presented system are applied for semi-active parking assistance system.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 433-440)

Pages:

6717-6721

Citation:

Online since:

January 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] I. E. Paromtchik and C. Laugier, Autonomous Parallel Parking of Non-holonomic Vehicle, , Proceedings of the IEEE Intelligent Vehicles Symposium, Minneapolis, pp.3117-3122, (1996).

DOI: 10.1109/ivs.1996.566343

Google Scholar

[2] I. E. Paromtchik and C. Laugier, Motion Generation and Control for Parking an Autonomous Vehicle, Proceedings of the 1996 IEEE International Conference on Robotics and Automation, Tokyo, Japan, pp.13-18, (1996).

DOI: 10.1109/robot.1996.509186

Google Scholar

[3] K. Jiang and L. D. Seneviratne , A Sensor Guided Autonomous Parking System for Nonholonomic Mobile Robots, Proceedings of the 1999 IEEE International Conference on Robotics and Automation, Detriot, MI, pp.311-316, (1999).

DOI: 10.1109/robot.1999.769997

Google Scholar

[4] Tsung-hua Hsu, Jing-Fu Liu, Development of an Automatic Parking System for Vehicle, Automotive Research and Testing Center, Changhua County, Taiwan, R.O. C, pp.1-7, (2008).

DOI: 10.1109/vppc.2008.4677655

Google Scholar

[5] J. Xu, G. Chen and M. Xie, Vision-Guided Automatic Parking for Smart Car, Proceedings of the IEEE Intelligent Vehicles Symposium, Dearbon, MI, pp.725-730, (2000).

DOI: 10.1109/ivs.2000.898435

Google Scholar

[6] C. Cheng, S. Chang and T. Li, Parallel-Parking Control of Autonomous Mobile Robot, Proceedings of the 23rd Annual International Conference on Industrial Electronics, Control, and Instrumentation, New Orleans, LA, pp.1305-1310, (1998).

DOI: 10.1109/iecon.1997.668501

Google Scholar

[7] W. A. Daxwanger and G. K. Schmidt, Skill-Based Visual Parking Control Using Neural and Fuzzy Networks, Proceedings of IEEE International Conference on Systems, Man and Cybernetics, Vancouver, BC, Canada, pp.1659-1664, (1995).

DOI: 10.1109/icsmc.1995.538012

Google Scholar

[8] M. Ohkita, H. Miyata, M. Miura and H. Kouno, Travelling Experiment of an Autonomous Mobile Robot for a Flush Parking, Proceedings of the 2nd IEEE International Conference on Fuzzy Systems, San Francisco, CA, pp.327-332, (1993).

DOI: 10.1109/fuzzy.1993.327441

Google Scholar

[9] R. Holve and P. Protzel, Reverse Parking of a Mobile Car with Fuzzy Control, roceedings of the 4th European Congress on Intelligent Techniques and Soft Computing, pp.2171-2175, (1996).

Google Scholar

[10] GP2Y0A2 infrared distance sensor, http: /document. sharpsma. com. 7.

Google Scholar

[11] Adam Kader, Steer-by-Wire Control System, Swarthmore College Department of Engineering, (2006).

Google Scholar