Fusing Lidar and Radar Data
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Vehicles use many different sensors to understand the environment. Sensor fusion uses different types of Kalman filters - mathematical algorithms - to combine data from these sensors and develop a consistent understanding of the world.
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This free course is your first step towards a new career with the Program.
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C++, Calculus, Linear Algebra
See the Technology Requirements for using Udacity.
By the end of this course, you will be able to program Kalman filters to fuse together radar and lidar data to track an object. You will be able to build extended Kalman filters and unscented Kalman filters to fuse together nonlinear data.
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