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Drone Flight Planner System: Flight Path for Efficient Data Capture
Ayush Baid
Ayush Baid
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Drone Flight Planner System: Flight Path for Efficient Data Capture

Build a flight planner system which computes the trajectory for the drone to fly and capture photos efficiently as per user specification.

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Thursdays
 at
12:00
P.M.
 ET /
9:00
A.M.
PT
8 weeks, 2-3 hours per week
Intermediate
No experience required
No experience required
Some experience required
Degree and experience required

Description

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.

Session timeline

  • Applications open
    September 5, 2024
  • Application deadline
    September 22, 2024
  • Project start date
    Week of July 8, 2024
    Week of
    October 7, 2024
  • Project end date
    Week of

What you will learn

  • Learn fundamentals of camera systems, and model them in Python.
  • Understand the requirements of the image datasets captured by aerial photography.
  • Build a drone flight planner system in Python, using mathematical computing frameworks like NumPy and SciPy.
  • Use Jupyter notebooks to share code, math, and visualizations in a modern and easy-to-follow medium.
  • Demonstrate the changes in the computed flight paths with modifications to the input specifications.
Build Projects are 8-week experiences that operate on a rolling basis. Selected participants engage in weekly live workshops with a Build Fellow and 2-15 other students.

Project workshops

1
Introductions, Project Overview, and Setup
2
Model a Camera System
3
Understand and Model Dataset Requirements
4
Compute Distance Between Photos
5
Compute Maximum Speed for Blur Free Photos
6
Generate Full Flight Plans
7
Visualize Flight Plans and Prepare for Presentation
8
Final Presentation and Review

Prerequisites

  • Basic knowledge of Python: basic syntax like loops, conditions, functions, and tools like unit testing, debugger.
  • Comfort with mathematical fundamentals like trigonometry.
  • Prior experience in mathematical frameworks like Numpy and Scipy is an added advantage. If not, they can easily be picked up alongside the project too.  
  • Familiarity with Jupyter notebooks, and any plotting tools like Matplotlib/Plotly is a plus.

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About the expert
Ayush Baid
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Ayush
's Linkedin

Ayush is a Software Development Fellow, based out of Bay Area, California. Ayush works as an Autonomy Engineer at Skydio, working on inspection and mapping software for drones. Ayush has a Masters in Computer Science from Georgia Tech, with specialization in Machine Learning. Ayush likes to play the piano, read, and be outdoors in his free time.