Predicting the environment and planning motion through itEnroll In Nanodegree
This course is a part of the Self-Driving Car Engineer Nanodegree Program.
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.
This course is part of a Nanodegree Program. It is a step towards a new career in Self-Driving Car Engineer.
Enhance your skill set and boost your hirability through innovative, independent learning.
See the Technology Requirements for using Udacity.
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.
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