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Self-Driving Car Engineer - Path Planning


Predicting the environment and planning motion through it

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Nanodegree Program

Accelerate your career with the credential that fast-tracks you to job success.

About this Course

Path planning is the brains of a self-driving car. It’s how a vehicle decides how to get where it’s going, both at the macro and micro levels. You’ll learn about three core components of path planning: environmental prediction, behavioral planning, and trajectory generation.
Best of all, this module is taught by our partners at Mercedes-Benz Research & Development North America. Their participation ensures that the module focuses specifically on material job candidates in this field need to know.

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Rich Learning Content

Interactive Quizzes

Taught by Industry Pros

Self-Paced Learning

Student Support Community

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Free Course

Self-Driving Car Engineer - Path Planning


Enhance your skill set and boost your hirability through innovative, independent learning.

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Prerequisites and Requirements

C++, Calculus

See the Technology Requirements for using Udacity.

Why Take This Course

By the end of this course, you will be able to predict object motion using a Gaussian Naive Bayesian Classifer, plan your own vehicle's behavior using a finite state machine, and generate trajectories using quintic polynomials.

What do I get?
Instructor videosLearn by doing exercisesTaught by industry professionals