Archive:Self Parking System - Revision history

wikademia>Wikademia: moved Self Parking System to Archive:Self Parking System

2009-06-12T08:47:43Z

moved Self Parking System to Archive:Self Parking System

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wikademia>Wikademia: 2 revisions

2009-06-06T21:49:07Z

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wikademia>Liberal Classic: prod

2009-06-02T03:14:15Z

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			{{dated prod\|concern = This is an unsourced, non-encyclopedic article with no context or assertions of notability. Also, it is likely to be autobiographical. \|month = June\|day = 2\|year = 2009\|time = 03:14\|timestamp = 20090602031414}}
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	Self Parking System was first designed by Mukhtar Oudeif at The University of Michigan. The idea behind the Self Parking System project is to design and build an autonomous automobile robot that can find a handicap parking space and then park into the space effectively. This project was chosen because of its potential applications in the real world. At a larger and more practical level, this system would be implemented in automobiles to find an empty spot and direct the driver to park. The robot is controlled with a micro controller, computer software, and is equipped with webcam, used as a vision of the robot to locate the parking sign. The camera is mounted on the robot, and is connected wirelessly with the computer. After the camera captures an image, it sends it to the matlab program to be processed. A signal is then sent to the robot to control its motion. The signal is sent through serial communication using wireless rs232. In our case, the desired image may be the parking signs. Motion control directs the robot to perform tasks such as parking and avoiding obstacles. The robot wheels receive their directions from the motor-controller to mobilize the robot.		Self Parking System was first designed by Mukhtar Oudeif at The University of Michigan. The idea behind the Self Parking System project is to design and build an autonomous automobile robot that can find a handicap parking space and then park into the space effectively. This project was chosen because of its potential applications in the real world. At a larger and more practical level, this system would be implemented in automobiles to find an empty spot and direct the driver to park. The robot is controlled with a micro controller, computer software, and is equipped with webcam, used as a vision of the robot to locate the parking sign. The camera is mounted on the robot, and is connected wirelessly with the computer. After the camera captures an image, it sends it to the matlab program to be processed. A signal is then sent to the robot to control its motion. The signal is sent through serial communication using wireless rs232. In our case, the desired image may be the parking signs. Motion control directs the robot to perform tasks such as parking and avoiding obstacles. The robot wheels receive their directions from the motor-controller to mobilize the robot.

wikademia>Moudeif: ←Created page with 'Self Parking System was first designed by Mukhtar Oudeif at The University of Michigan. The idea behind the Self Parking System project is to design and build an au…'

2009-06-01T23:15:10Z

←Created page with 'Self Parking System was first designed by Mukhtar Oudeif at The University of Michigan. The idea behind the Self Parking System project is to design and build an au…'

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Self Parking System was first designed by Mukhtar Oudeif at The University of Michigan. The idea behind the Self Parking System project is to design and build an autonomous automobile robot that can find a handicap parking space and then park into the space effectively. This project was chosen because of its potential applications in the real world. At a larger and more practical level, this system would be implemented in automobiles to find an empty spot and direct the driver to park. The robot is controlled with a micro controller, computer software, and is equipped with webcam, used as a vision of the robot to locate the parking sign. The camera is mounted on the robot, and is connected wirelessly with the computer. After the camera captures an image, it sends it to the matlab program to be processed. A signal is then sent to the robot to control its motion. The signal is sent through serial communication using wireless rs232. In our case, the desired image may be the parking signs. Motion control directs the robot to perform tasks such as parking and avoiding obstacles. The robot wheels receive their directions from the motor-controller to mobilize the robot.