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Autonomous Navigation for Flying Robots
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- 8 Sequences
- Introductive Level
- Starts on May 4, 2015
- Ends on June 29, 2015
Course details
Syllabus
After successful participation of this module, students will be able to
- Understand the flight principles of quadrotors and their application potential
- Specify the pose of objects in 3D space and to perform calculations between them (e.g., compute the relative motion)
- Explain the principles of Bayesian state estimation
- Implement and apply an extended Kalman filter (EKF), and to select appropriate parameters for it
- Implement and apply a PID controller for state control, and to fine tune its parameters
- Understand and explain the principles of visual motion estimation and 3D mapping
Prerequisite
Instructors
- Jürgen Sturm
- Daniel Cremers
- Christian Kerl
Editor
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