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Avoid obstacles automatically using image processing and machine learning

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Smart Car

We plan to make a smart car which can avoid obstacles automatically by using image processing and machine learning skills.

Core technique

  • OpenCV for image processing
  • Convolutional Neural Network for machine learning
  • Raspberry PI et al for hardware design

Divectory structure

├── document                   - All the document are placed here. (Progess reports and some introduction document) 
├── source                     - All source codes
│   ├── component              - Some common component for car running and learning.
│   ├── config                 - Configuration about car. Also store weights and biases of network, etc. 
│   ├── implementation         - Code for car's normal movement   
│   ├── test                   - Test code for move accuracy 
│   └── training               - Training code 
│   └── data                   - Store all the training images 
└── README.md                  - Some explanation for Smart Car project 

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Avoid obstacles automatically using image processing and machine learning

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