Drone Flight Planner System: Flight Path for Efficient Data Capture

Capturing high quality image datasets is a rapidly expanding field with a wide range of applications: mapping, survey, digital 3D models, and datasets for AI. Drones are transforming the industry by providing a safe, cheap, and accessible platform which can navigate difficult terrain and capture datasets with remarkable precision and efficiency. In this project, you will wear the hat of a Roboticist and a Software Developer and develop a path planning system which can capture the image datasets in an efficient manner.

Under the guidance of an industry expert, you’ll develop data models in Python for user requirements and constraints, develop modular APIs to calculate the position and the speed of the drones, and build visualization tools to analyze the computed trajectories. You’ll learn about camera systems and the image capture process, mapping and photogrammetry concepts like overlap, and industry conventions to represent the path of robots. Your project leader will provide the mathematical concepts required for the project and simulate an environment of a real robotics software development team.