Sensor Fusion Engineer, co-created with Mercedes-Benz
ABOUT THIS NANODEGREE
During the course, you will learn how to detect obstacles in LIDAR point clouds. You will track objects using segmentation and clustering.
The program will teach you the skills that most engineers learn on-the-job. It’s very hands-on so after completing the course, you have a chance to start your career in self-driving cars or robotics. This program will provide you with extensive knowledge of sensors like radar, cameras, and LIDAR, as well as all types of robots. At the end of the course, you will have a nice portfolio of projects. A very important part of this course is also Kalman filters. You will try to build extended and unscented Kalman filters for tracking nonlinear movement.
The course takes around 4 months to complete. If you want to enroll, you need some C++ knowledge, as well as experience with probability, calculus, and linear algebra.
Top Sensor Fusion Engineers in the US make an average of $149k!
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