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This model processes the binary output mask obtained through Image segmentation to get a desirable driving path for a robot car.

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gpsub/Image_segmentation_based_robot_path_planning

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Image Segmentation based Robot path planning

In this project,the drivable area for an experimental robot car (powered by Raspberry Pi 4 and motor driver) has been detected using Image Segmentation and the binary output mask is obtained. The midpoints of the row-wise maximum width sections of the binary output mask have been joined to create a path which the car can follow. This prediction keeps running and changes dynamically according to the image stream recieved from the robot car.

Packages Used:

  • Opencv-python
  • tensorflow
  • pixellib

Download model weights from here

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This model processes the binary output mask obtained through Image segmentation to get a desirable driving path for a robot car.

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