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Sensor Fusion

Nanodegree Program

The Sensor Fusion Engineer Nanodegree program consists of four courses that teach the fundamentals of sensor fusion and perception for self-driving cars. The program covers lidar, radar, camera, and Kalman filters, and includes lessons on working with real-world data, filtering, segmentation, clustering, and object tracking. In addition, students will work on a capstone project that involves building a complete sensor fusion pipeline for autonomous vehicles. Upon completing the program, graduates will have the skills and knowledge necessary to design and implement sensor fusion systems for self-driving cars.

The Sensor Fusion Engineer Nanodegree program consists of four courses that teach the fundamentals of sensor fusion and perception for self-driving cars. The program covers lidar, radar, camera, and Kalman filters, and includes lessons on working with real-world data, filtering, segmentation, clustering, and object tracking. In addition, students will work on a capstone project that involves building a complete sensor fusion pipeline for autonomous vehicles. Upon completing the program, graduates will have the skills and knowledge necessary to design and implement sensor fusion systems for self-driving cars.

Built in collaboration with

Mercedes-Benz

Advanced

3 months

Real-world Projects

Completion Certificate

Last Updated March 21, 2023

Skills you'll learn:
Radar • Sensor fusion • Digital cameras • Kalman filters
Prerequisites:
Basic probability • Intermediate C++ • Linear algebra

Courses In This Program

Course 1 1 hour

Welcome

Course 2 3 weeks

Lidar Obstacle Detection

Course 3 3 weeks

Camera

Course 4 2 weeks

Radar

Taught By The Best

Photo of David Silver

David Silver

Staff Software Engineer at Kodiak Robotics

David works on Self-driving trucks at Kodiak. As a Staff Software Engineer, David writes planning, control, simulation and mapping software for self-driving trucks.

Photo of Stephen Welch

Stephen Welch

Instructor

Stephen is a Content Developer at Udacity and has worked on the C++ and Self-Driving Car Engineer Nanodegree programs. He started teaching and coding while completing a Ph.D. in mathematics, and has been passionate about engineering education ever since.

Photo of Abdullah Zaidi

Abdullah Zaidi

Instructor

Abdullah holds his M.S from the University of Maryland and is an expert in the field of Radio Frequency Design and Digital Signal processing. After spending several years at Qualcomm, Abdullah joined Metawave, where he now leads Radar development for autonomous driving.

Photo of Andreas Haja

Andreas Haja

Instructor

Andreas Haja is an engineer, educator, and autonomous vehicle enthusiast. Andreas now works as an engineering professor in Germany. Previously, he developed computer vision algorithms and autonomous vehicle prototypes using C++.

Photo of Aaron Brown

Aaron Brown

Senior AV Software Engineer

Aaron has a background in electrical engineering, robotics and deep learning. Currently working with Mercedes-Benz Research & Development as a Senior AV Software Engineer, he has worked as a Content Developer and Simulation Engineer at Udacity focusing on developing projects for self-driving cars.

Ratings & Reviews

Average Rating: 4.8 Stars

(175 Reviews)

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4 Months

Average time to complete a Nanodegree program

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