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Self-Driving-Cars-Engine

trying to cover signal processing, lane detection, color detection, and object detection for self-driving car purpose

What-Done

  1. Signal processing (1D smoothing, 2D smoothing, convolution 2 signals, pass-filters)
  2. Simple straight lane detection
  3. Steering suggestion
  4. Multi-lane detection
  5. Multi-lane angle
  6. Curve-lane detection
  7. Car detection using sliding + HOG + eXtreme Boosting
  8. Object detection using Tensorflow
  9. Distance + Angle for object detection
  10. Traffic light detection
  11. OCR
  12. Gradient Smoothing
  13. Lane Smoothing
  14. Car plate detection
  15. Dynamic count lane detection
  16. Signal Filtering
  17. Segmentation

Results

  1. Signal processing

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  1. simple straight lane detection

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  1. Steering suggestion

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  1. Multi-lane detection

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  1. Multi-lane angle

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  1. Curve-lane detection

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  1. Car detection using sliding + HOG + eXtreme Boosting

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  1. Object detection using Tensorflow

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  1. Distance + Angle for object detection

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  1. Traffic light detection

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  1. Gradient Smoothing

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  1. Lane Smoothing

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  1. Dynamic count lane detection

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  1. Signal Filtering

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  1. Segmentation

VGG16 Road Segmentation

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Mobilenet City Segmentation

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About

trying to cover pretty much for self-driving car engines

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  • Jupyter Notebook 98.8%
  • Python 1.2%