Sensor Fusion Engineer

Starting at USD 1596.00
16 weeks duration

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

The Sensor Fusion Engineer course on Udacity covers a range of topics related to sensor fusion. Students will learn how to process raw lidar data by applying filtering, segmentation, and clustering techniques to detect other vehicles on the road. They will also explore lidar obstacle detection and how to fuse camera images with lidar point cloud data. This involves extracting object features, classifying objects, and projecting camera images into three dimensions for fusion with lidar data. Additionally, students will analyze radar signatures to detect and track objects, calculating velocity and orientation while accounting for distortions, noise, and occlusions. The course also covers the use of Kalman filters to fuse data from multiple sources, including building extended and unscented Kalman filters for tracking nonlinear movement.

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Udacity is an online learning platform that offers a wide range of courses and programs in various fields such as technology, business, data science, and artificial intelligence. It was founded in 2012 by Sebastian Thrun, David Stavens, and Mike Sokolsky with the aim of providing accessible and affordable education to individuals worldwide. Udacity's courses are designed in collaboration with industry experts and leading companies, ensuring that the content is relevant and up-to-date. The platform offers both self-paced courses and guided programs, allowing learners to choose the learning style that suits them best. Udacity also provides career services and support, including resume reviews, interview preparation, and job placement assistance, to help learners transition into their desired careers.
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