Nanodegree Course

Self-Driving Car Engineer - Path Planning

by
Mercedes

Predicting the environment and planning motion through it

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Nanodegree Program

Self-Driving Car Engineer

byMercedes

Build the future, today

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.

Skill Level
advanced
Included in Product

Rich Learning Content

Interactive Quizzes

Taught by Industry Pros

Self-Paced Learning

Student Support Community

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This course is your first step towards a new career with the Self-Driving Car Engineer Program.

Nanodegree Course

Self-Driving Car Engineer - Path Planning

byMercedes

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

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Prerequisites and Requirements

C++, Calculus

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Rich Learning Content

Interactive Quizzes

Self Paced Learning

Taught by Industry Professionals

1-1 Coaching and Mentorship

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Rich Learning Content

Interactive Quizzes

Self Paced Learning

Taught by Industry Professionals

 

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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

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