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


G. Flandin, F. Chaumette. Vision-based control using probabilistic geometry for objects reconstruction. In IEEE Int. Conf. on Decision and Control, CDC'01, Volume 5, Pages 4152-4157, Orlando, Florida, December 2001.

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 2002-2024, Projet Lagadic/Rainbow


We first present a suitable object knowledge representation based on a mixture of stochastic and set membership models and consider an approximation resulting in ellipsoidal calculus by means of a normal assumption for stochastic laws and ellipsoidal over or inner bounding for uniform laws. Then we, build an efficient estimation process integrating visual data online and perform online and optimal exploratory motions for the camera. The control schemes are based on the maximization of the a posteriori predicted information


Francois Chaumette

BibTex Reference

   Author = {Flandin, G. and Chaumette, F.},
   Title = {Vision-based control using probabilistic geometry for objects reconstruction},
   BookTitle = {IEEE Int. Conf. on Decision and Control, CDC'01},
   Volume = {    5},
   Pages = {4152--4157},
   Address = {Orlando, Florida},
   Month = {December},
   Year = {2001}

EndNote Reference [help]

Get EndNote Reference (.ref)