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