Visual Navigation for Flying Robots | Robotics, Computer Vision
tum.de
Explore the latest research and practical applications in visual navigation for autonomous flying robots, including computer vision techniques for aerial mapping and obstacle avoidance.
University CoursesComputer VisionRobotics
Introduction
This course covers the topic of visual navigation for flying robots, including computer vision techniques for autonomous flight, aerial mapping, and obstacle avoidance. Students will learn about the latest research and practical applications in this field.
Highlights
Covers state-of-the-art computer vision algorithms for flying robots
Hands-on experience with drone programming and visual navigation
Opportunity to work on real-world projects and challenges
Taught by experts in the field of computer vision and robotics
Recommendation
This course is recommended for students and professionals interested in robotics, computer vision, and autonomous systems. It provides a solid foundation in the technical aspects of visual navigation for flying robots and the opportunity to apply these concepts in practical projects.
How GetVM Works
Learn by Doing from Your Browser Sidebar
Access from Browser Sidebar
Simply install the browser extension and click to launch GetVM directly from your sidebar.
Select Your Playground
Choose your OS, IDE, or app from our playground library and launch it instantly.
Learn and Practice Side-by-Side
Practice within the VM while following tutorials or videos side-by-side. Save your work with Pro for easy continuity.