Skip to Main content Skip to Navigation
Conference papers

Active vision for pose estimation applied to singularity avoidance in visual servoing

Don Joven Agravante 1 François Chaumette 1 
1 Lagadic - Visual servoing in robotics, computer vision, and augmented reality
CRISAM - Inria Sophia Antipolis - Méditerranée , Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : In active vision, the camera motion is controlled in order to improve a certain visual sensing strategy. In this paper, we formulate an active vision task function to improve pose estimation. This is done by defining an optimality metric on the Fisher Information Matrix. This task is then incorporated into a weighted multi-objective optimization framework. To test this approach, we apply it on the three image point visual servoing problem which has a degenerate configuration-a singularity cylinder. The simulation results show that the singular configurations of pose estimation are avoided during visual servoing. We then discuss the potential of active vision to be integrated into more complex multi-task frameworks.
Document type :
Conference papers
Complete list of metadata

Cited literature [19 references]  Display  Hide  Download
Contributor : Eric Marchand Connect in order to contact the contributor
Submitted on : Tuesday, September 19, 2017 - 11:03:32 AM
Last modification on : Friday, August 5, 2022 - 2:54:52 PM


Files produced by the author(s)


  • HAL Id : hal-01589882, version 1


Don Joven Agravante, François Chaumette. Active vision for pose estimation applied to singularity avoidance in visual servoing. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, IROS'17, Sep 2017, Vancouver, Canada. pp.2947-2952. ⟨hal-01589882⟩



Record views


Files downloads