Quadrotors and Accelerometers: State Estimation with an Improved Dynamic Model

By Robert C. Leishman, John Macdonald, R. Beard, Timothy W. McLain. 2014

220 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Artificial Intelligence

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Davide Scaramuzza
2. Matthias Faessler
3. Moses Bangura
4. Vijay R. Kumar
5. Antonio Franchi
6. Kartik Mohta
7. James Svacha
8. Guoquan Huang

In Artificial Intelligence

1. Davide Scaramuzza
2. Moses Bangura
3. Matthias Faessler
4. Vijay R. Kumar

Citations in the corpus

• Differential Flatness of Quadrotor Dynamics Subject to Rotor Drag for Accurate Tracking of High-Speed Trajectories (2017, background): “These rotor drag effects were then incorporated in dynamical models of multi rotors to improve state estimation in [7] and [8].”
• Aerodynamics and Control of Quadrotors (2017, background): “[2012]; Lim et al. [2012]. There are numerous commercial off-the-shelf and open-source quadrotor projects.”
• Improving quadrotor trajectory tracking by compensating for aerodynamic effects (2017, methodology): “The model used for induced drag was proposed in [6] and further simplified in [7].”