Jump to : Download | Note | Abstract | Contact | BibTex reference | EndNote reference |


F. Dionnet, E. Marchand. Robust stereo tracking for space robotic applications. In IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, IROS'07, Pages 3373-3378, San Diego, California, October 2007.

Download [help]

Download Hal paper: Hal : Hyper Archive en ligne

Download paper: Adobe portable document (pdf) pdf

Copyright notice:

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder. This page is automatically generated by bib2html v217, © Inria 2002-2015, Projet Lagadic

Note on this paper

This paper received the IROS'07 Conference Best Application Paper Award


This paper proposes a real-time, robust and efficient 3D model-based tracking algorithm for visual servoing. A virtual visual servoing approach is used for 3D tracking. This method is similar to more classical non-linear pose computation techniques. Robustness is obtained by integrating an M-estimator into the virtual visual control law via an iteratively re-weighted least squares implementation. The presented approach is also extended to the use of multiple cameras. Results show the method to be robust to occlusion, changes in illumination and miss-tracking


Éric Marchand

BibTex Reference

   Author = {Dionnet, F. and Marchand, E.},
   Title = {Robust stereo tracking for space robotic applications},
   BookTitle = {IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, IROS'07},
   Pages = {3373--3378},
   Address = {San Diego, California},
   Month = {October},
   Year = {2007}

EndNote Reference [help]

Get EndNote Reference (.ref)

| Lagadic | Map | Team | Publications | Demonstrations |
Irisa - Inria - Copyright 2009 © Lagadic Project