DVS-Straight is an international collaboration project funded by the ITH department of AIST. In this project, CNRS-AIST JRL is partnering with UTBM, CIAD lab (France) and UPJV, MIS lab (France) with the aim of mastering the robot trajectories during image-based visual servoing directly using the dense brightness of captured images as input of the control law (Direct Visual Servoing: DVS). Indeed, DVS is first known for its submillimetric precision and recently for a quite large convergence domain, e.g. with DDVS. However, trajectories are not always satisfactory.
A series of international workshops will be organized to share the research, the results and the open-source software as well as to develop the research community on these topics.
|A Study on Learned Feature Maps Toward Direct Visual Servoing||M. Quaccia, A. André, Y. Yoshiyasu, G. Caron||IEEE/SICE International Symposium on System Integration||2024|
|Visual Gyroscope: Combination of Deep Learning Features and Direct Alignment for Panoramic Stabilization||B. Berenguel-Baeta, A. André, G. Caron, J. Bermudez-Cameo, J. Guerrero||IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops||2023|
|Direct Visual Servoing in the non-linear scale space of camera pose||G. Caron, Y. Yoshiyasu||IAPR/IEEE International Conference on Pattern Recognition||2022|
|Photometric Visual Gyroscope for Full-View Spherical Camera||A. André, G. Caron||IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops||2022|