Control of a Quadrotor Helicopter Using Dual Camera Visual Feedback

By Erdinç Altug, J. Ostrowski, Camillo Jose Taylor. 2005

298 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition

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In Computer Vision and Pattern Recognition

Citations in the corpus

A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to Imitation (2016, neutral): “he overall accuracy of the system. Now it is widely used in mobile robot control (Fang et al., 2012; Liu et al., 2013), UAV control (Lee et al., 2012), target tracking (Cretual and Chaumette,´ 2001a; Altug et al., 2005), and robot manipulation (Ruf and˘ Horaud, 1999). The advance of deep-learning in”
The GRASP Multiple Micro-UAV Testbed (2010, result): “Similar nesting of control loops is presented in previous works [5]–[7, 16, 17].”
Modeling and PD Control of a Quadrotor VTOL Vehicle (2007, methodology): “Altuğ et. al. modeled a quadrotor using Euler-Newton method and worked on vision based stabilization and output tracking control using cameras [5, 6, 7, 8].”
Survey of advances in guidance, navigation, and control of unmanned rotorcraft systems (2012, unknown): “Altug, Ostrowski, and Taylor (2005) used a pair of pan/tilt ground and onboard cameras and colored blobs attached to the bottom of a quadrotor to estimate the 3D pose of the quadrotor and to stabilize its motion.”
Deep-learning in Mobile Robotics - from Perception to Control Systems: A Survey on Why and Why not (2016, methodology): “Now it is widely used in mobile robot control (Fang et al., 2012; Liu et al., 2013), UAV control (Lee et al., 2012), target tracking (Cr´etual and Chaumette, 2001a; Altu˘g et al., 2005), and robot manipulation (Ruf and Horaud, 1999).”
Nonlinear Robust Adaptive Tracking Control of a Quadrotor UAV Via Immersion and Invariance Methodology (2015, methodology): “In this paper, to implement the control schemes more easily, we apply the assumptions and simplification in [23].”
A survey of quadrotor Unmanned Aerial Vehicles (2012, unknown): “Hence it is servoing in 3D [7, 9, 54, 57, 58, 60, 72].”