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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.
You should have intermediate C++ knowledge, and be familiar with calculus, probability, and linear algebra. See detailed requirements.
Process raw lidar data with filtering, segmentation, and clustering to detect other vehicles on the road.Lidar Obstacle Detection
Analyze radar signatures to detect and track objects. Calculate velocity and orientation by correcting for radial velocity distortions, noise, and occlusions.Radar Obstacle Detection
Fuse camera images together with lidar point cloud data. You'll extract object features, classify objects, and project the camera image into three dimensions to fuse with lidar data.Camera and Lidar Fusion
Fuse data from multiple sources using Kalman filters, and build extended and unscented Kalman filters for tracking nonlinear movement.Unscented Kalman Filters
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 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 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 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.
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.
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