Visual Servoing Based on Image Motion
By Armel Crétual, François Chaumette. 2001
62 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Media Technology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Lei Tai
- É. Marchand
- Fabien Spindler
- François Chaumette
- Armel Crétual
- Patrick Bouthemy
- Denis Fortun
- Charles Kervrann
In Media Technology
- Lei Tai
- É. Marchand
- Fabien Spindler
- François Chaumette
- Armel Crétual
- Patrick Bouthemy
- Denis Fortun
- Charles Kervrann
Citations in the corpus
- 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).”
- Application of Motion-Based Visual Servoing to Target Tracking (2001, background): “Forthereader interested in the link between general presented in Crétual and Chaumette (2001) and the particular of target tracking described in this paper, we can the error vector e is equal to s , meaning combination ) ) is equal to I 2 .”
- ViSP for visual servoing: a generic software platform with a wide class of robot control skills (2005, background): “The authors want to acknowledge the contribution of the members of the Lagadic group: Nicolas Mansard, Anthony Remazeilles, Andrew Comport and Muriel Prssigout as well as the former PHD students (Ezio Malis, Youcef Mezouar,...) who contribute to the creation of this software.”
- Optical flow modeling and computation: A survey (2015, background): “Obstacle detection and avoidance are the main tasks investigated for general robot control in real environment exploiting optical flow [57,67,82].”