/ai-drone-control

AI drone & rover control system

Primary LanguageJupyter Notebook

ai-drone-control

AI drone & rover control system code repository. It includes the following modules:

  1. Row Detection Algorithm
    • Description: Implementation of crop row detection algorithm based on novel statistical techniques.
    • Status: Complete
  2. Crop Field Segmentation Net
    • Description: Convolutional Neural Network for recognizing and segmenting farm crop fields in real-time.
    • Status: In Progress
  3. Rover Path Planning
    • Description: Various sub-modules for creating optimal global rover path plan based on drone visual field. Includes following:
      1. Image to GPS Coordinate Converter
        • Description: Converts drone image pixel coordinates to GPS coordinates based on drone's current position and orientation in 3-D space on the globe.
        • Status: Complete
      2. Rover Path Mapper
        • Description: Processes image data, using above modules and CV techniques, to identify valid rover paths and obstacles between paths.
        • Status: Pending
      3. Path Planner
        • Description: Algorithms for calculating optimal rover patrol routes based on outputs from above modules. Implements multi-traveling salesman and A-star solutions.
        • Status: In Progress
  4. Drone Control
    • Description: Real-time drone control system code.
    • Status: Pending
  5. Rover Control
    • Description: Real-time rover control system code.
    • Status: Pending