Autonomous landing of a VTOL UAV on a moving platform using image-based visual servoing
By Daewon Lee, Tyler Ryan, H. J. Kim. 2012
298 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition
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
- Jeffrey A. Delmerico
- Lei Tai
- Davide Scaramuzza
- Sergey I. Nikolenko
- Davide Falanga
- George Nikolakopoulos
- Christoforos Kanellakis
- Alessandro Simovic
In Computer Vision and Pattern Recognition
- Sergey I. Nikolenko
- Jeffrey A. Delmerico
- Davide Scaramuzza
- Davide Falanga
- George Nikolakopoulos
- Christoforos Kanellakis
- Lei Tai
- Alessandro Simovic
Citations in the corpus
- A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to Imitation (2016, neutral): “roller of the manipulator. Visual-feedback control loop increases the 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 ma”
- Synthetic Data for Deep Learning (2019, methodology): “, using feedback from visual sensors in order to maintain position, stability, and perform maneuvers; here synthetic data has usually been used in the form of hardware-in-the-loop simulators for the developed controllers [348], sometimes augmented with full-scale flight simulators [336] or specially”
- 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).”
- Survey on Computer Vision for UAVs: Current Developments and Trends (2017, methodology): “In [36] a control algorithm for the autonomous landing on a moving platform for a VTOL has been”
- Vision-based autonomous quadrotor landing on a moving platform (2017, methodology): “Visual servoing is a valid option to some extent [13], [14]; nevertheless, it requires the landing platform to be visible throughout the entire duration of the task, the reason being that the UAV is pulled towards the goal using solely visual 2017 IEEE International Symposium on Safety, Security and”