A Fully Autonomous Indoor Quadrotor

By Slawomir Grzonka, Giorgio Grisetti, Wolfram Burgard. IEEE Transactions on robotics, 2012

420 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/03cdfa6ef0401690c23ae1a523b455ea0c23dd38

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In Aerospace Engineering

In Computer Vision and Pattern Recognition

In Ocean Engineering

Citations in the corpus

Build Your Own Quadrotor: Open-Source Projects on Unmanned Aerial Vehicles (2012, methodology): “Open-source license LGPL GPL GPL GPL D — GPL GPL Used by [26], [27] — — [28], [12] [29], [30] — — —”
A Fully-Autonomous Aerial Robot for Search and Rescue Applications in Indoor Environments using Learning-Based Techniques (2018, methodology): “Algorithms originally conceived for UGVs were also exploited by Grzonka et al. [23] to increase UAV autonomy.”
A Computationally Efficient Motion Primitive for Quadrocopter Trajectory Generation (2015, background): “The ability to hover and the safety offered by small rotors storing relatively little energy [3] make quadrocopters attractive platforms for aerial robotic tasks that involve the navigation of tight cluttered environments (see, for example, [4], [5]).”
Non-GPS Positioning Systems (2017, background): “Similarly, [35] presents a complete autonomous UAV system capable of navigation and all its re-lated aspects such as localization, mapping, path-planning, height estimation, and control has been described.”
3-D Mapping With an RGB-D Camera (2014, methodology): “In combination with an inertial measurement unit (IMU), this can also be used to create a map with a quadrocopter [7].”
Advanced closed loop visual navigation for micro aerial vehicles (2014, background): “He et al. (2008) show by planning in “information space” that a direct path between start and goal may not be the best choice, since localization with the limited range of the employed laser range finder is not guaranteed.”