Download and Learn Flying Car and Autonomous Flight Engineer Udacity Nanodegree Course 2023 for free with google drive download link.
Master autonomous flight software engineering skills as you build your career in flying cars and drone robotics.
What You’ll Learn in Flying Car and Autonomous Flight Engineer Nanodegree
Flying Car Curriculum
Estimated 4 Months to complete
You’ll learn the core concepts required to design and develop robots that fly. You’ll work with the quadrotor test platform and our custom flight simulator to implement planning, control, and estimation solutions.
Flying Car and Autonomous Flight Engineer Nanodegree Intro Video:
Here is a list of prerequisites and recommendations to help prepare you for the program curriculum.
Prior to enrolling, you should have the following knowledge:
- Substantial experience programming in any language
- Intermediate-level programming experience in Python or willingness to learn
- Intermediate-level programming experience in C++ or willingness to learn (including knowledge of memory allocation, classes, and references)
- Basic Linear algebra
- Calculus (derivatives and integrals)
- Probability and statistics (mean, variance, and probability distributions)
- Basic Physics (basic mechanics including knowledge of kinematics, dynamics, and torque)
Students with a limited background in programming, math, or machine learning are encouraged to enroll in the Intro to Self-Driving Cars Nanodegree Program to help them prepare.
Learn about our quadrotor test platform, work in our custom simulator, and build your first project—getting a quadrotor to take-off and fly around a backyard!
Project – Backyard Flyer
In this project, you will write event-driven code to get your drone to take-off, fly a predetermined path, and land in a simulated backyard environment.
3D Motion Planning
Optimize 2D solutions using waypoints, then scale solutions to 3D
problems. Apply these skills by autonomously navigating your drone through a dense urban environment.
Project – 3D Motion Planning
In this project, you will move beyond the backyard test grounds and fly your drone around a complex urban environment. To do so, you will load a map of a real city, plan a collision-free path between buildings, and watch your drone fly above city streets.
Moving a flying vehicle requires determining appropriate low-level motor controls. Here, you’ll build a nonlinear cascaded controller for your drone system.
Project – Building a Controller
In this project, you will no longer assume vehicle actuation but rather implement your very own cascaded controller in C++. You will attempt different motions (slow, fast, slalom, etc.) and analyze performance under different conditions.
Utilize sensor fusion and filtering. Design an Extended Kalman Filter (EKF) to estimate attitude and position from IMU and GPS data of a flying robot.
Project – Estimation
In this project, you will implement an EKF to estimate altitude and position from IMU and GPS data of a flying robot. After doing so, you will have implemented the full-stack for aerial robot!
[Optional] Fixed-Wing Aircraft
Learn the dynamics of fixed-wing flight and apply what you’ve learned by writing code to control a fixed-wing aircraft in simulation.
Project – Fixed-Wing Control
In this project you will code a fixed-wing aircraft, and then implement solutions to a significantly more challenging control problem.
Flying cars will return 8 billion valuable commuter hours to U.S. drivers!
Flying Car and Autonomous Flight Engineer Nanodegree Free Download Link: