Visual aid for car reversing and parking

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Visual aid for car reversing and parking
Facilitators Dr Kolin Paul Prof Anshul
Kumar Computer Science and Engg. Department
Students Abhishek Bansal Sanchit Arora Computer
Science and Engg. Department
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INTRODUCTION

• Uncertainty about an obstacle on the far side
  while reversing or parking a car.
• Dire need of a visual aid for estimation of path
  and distances on sides.
• An add-on, affordable and efficient device
  required.

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OBJECTIVE

• Development of a low cost add on device for 
• cars that would help the driver while parking 
• and reversing in blind spot situations, by 
• providing him visual aid and trajectory 
• information through an LCD screen.  

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APPROACH
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BUILDING BLOCKS
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Testing the usefulness of the system

• Initially on actual car.
• Built a wooden frame depicting the rear of the
  car.

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Development of the processing unit

• Development of algorithm on laptop
• Worked on a laptop for testing purposes.
• Used the openCV library for basic image
  processing.
• Issues Image in the mirror
• Was inverted.
• Suffered from aberration.
• The inversion code was tested on a laptop.

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Achievements before Mini P

• Such a system would enable the driver to see some
  reasonable distance behind the car (approx. 90
  inches).
• The view obtained through the LCD is better than
  that in existing systems, since we can also view
  the back and sides of the car.
• LCD working, but only at about 3 frames per
  second.

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Issues Identified

• Frame rate
• Aberration
• Trajectory Plot
• Clarity of image through heat element in back
  pane
• Mounting issues
• Night Vision

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Frame rate

• Frame rate at start of semester 3 fps
• Capture through OpenCv
• Display through Qt
• First impression Costly conversion
• Spent some time on Qt internals to try and
  capture image directly, but realized that
  bottleneck is the Qt display itself.

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• Next Step Display through Opencv
• Required installation of X and Gtk
• Installed IPKG utility
• Used it to install required libraries.
• After some help
• Got a file system.
• Installed our kernel and camera support on it.

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Achievement and Final Aims

• Achieved a frame rate of about 8-9 fps.
• Clarity of the image has improved.
• Better video.
• Aims
• Testing on actual car.
• Aberration processing on DSP.
• Attempt to display trajectory through
  accelerometers.

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• Thank you