[Udacity] Become a Sensor Fusion Engineer

Learn to fuse lidar point clouds, radar signatures, and camera images using Kalman Filters to perceive the environment and detect and track vehicles and pedestrians over time.

  • Estimated Time
    4 Months

    At 10 hours/week

  • Enroll by

    Get access to classroom immediately on enrollment

  • Prerequisites
    Intermediate C++, Calculus, and Probability

    See prerequisites in detail

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Why take this Nanodegree program

The Sensor Fusion Engineer Nanodegree program will teach you the skills that most engineers learn on-the-job or in a graduate program – how to fuse data from multiple sensors to track non-linear motion and objects in the environment. Apply the skills you learn in this program to a career in robotics, self-driving cars, and much more.

What You Will Learn

Syllabus

Sensor Fusion Engineer

Learn to detect obstacles in lidar point clouds through clustering and segmentation, apply thresholds and filters to radar data in order to accurately track objects, and augment your perception by projecting camera images into three dimensions and fusing these projections with other sensor data. Combine this sensor data with Kalman filters to perceive the world around a vehicle and track objects over time.

Learn to fuse data from three of the primary sensors that robots use: lidar, camera, and radar.

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Estimated 4 Months

You should have intermediate C++ knowledge, and be familiar with calculus, probability, and linear algebra. See detailed requirements.

All Our Programs Include

Real-world projects from industry experts

With real world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want.

Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you and keeping you on track.

Personal career coach and career services

You’ll have access to career coaching sessions, interview prep advice, and resume and online professional profile reviews to help you grow in your career.

Flexible learning program

Get a custom learning plan tailored to fit your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.

Program OfferingsFull list of offerings included:

Class Content

Content Co-created with Mercedes-Benz

Real-world projects

Project reviews

Project feedback from experienced reviewers

Student Services

Technical mentor support

New

Student community

Improved

Career services

Personal career coaching

New

Interview preparations

Resume services

Github review

LinkedIn profile review

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We provide services customized for your needs at every step of your learning journey to ensure your success!

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Learn with the best

David Silver

Head of Curriculum

David Silver leads the Udacity Curriculum Team. Before Udacity, David was a research engineer on the autonomous vehicle team at Ford. He has an MBA from Stanford, and a BSE in Computer Science from Princeton.

 

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.

Andreas Haja

Instructor

Andreas Haja is an engineer, educator and autonomous vehicle enthusiast with a PhD in computer science. Andreas now works as a professor, where he focuses on project-based learning in engineering. During his career with Volkswagen and Bosch he developed camera technology and autonomous vehicle prototypes.

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.

Instructor

Aaron Brown has a background in electrical engineering, robotics and deep learning. Aaron has worked as a Content Developer and Simulation Engineer at Udacity focusing on developing projects for self-driving cars.

Program Details

Program Overview – Why should I take this program?
  • Why should I enroll?

    Sensor fusion engineering is one of the most important and exciting areas of robotics.
    Sensors like cameras, radar, and lidar help self-driving cars, drones, and all types of robots perceive their environment. Analyzing and fusing this data is fundamental to building an autonomous system.
    In this Nanodegree program, you will work with camera images, radar signatures, and lidar point clouds to detect and track vehicles and pedestrians. By graduation, you will have an impressive portfolio of projects to demonstrate your skills to employers.

 

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