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

Petit12c

K. Kanani, A. Petit, E. Marchand, T. Chabot, B. Gerber. Vision-based navigation for debris removal missions. In 63rd International Astronautical Congress, Naples, Italia, September 2012.

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

Abstract

In-orbit servicing, and especially large debris removal, holds more and more the attention of space community. In this paper we present a vision based solution which enables to assess the pose (attitude and position) of a target using a monocular camera. The proposed image processing algorithm achieves 3D detection and tracking of the target, relying on frame-to-frame tracking and tracking by detection techniques. The main principle is to align the projection of the 3D model of the tracked debris with observation made in the image and provides the complete relative position and attitude thanks to non-linear optimization process. Running at video rate, the proposed algorithm can handle very complex targets, under degraded conditions, i.e. with Earth background, occlusion or optical peculiarities (such as poor texture or specular reflections). The tracking algorithm has previously been tested on real images to demonstrate its robustness to real data. In the present paper we focus on heavy debris tracking, like satellites or launcher tanks. Several tests on simulated images have been carried out to quantitatively show the performances and robustness of both tracking and associated navigation

Contact

Éric Marchand

BibTex Reference

@InProceedings{Petit12c,
   Author = {Kanani, K. and Petit, A. and Marchand, E. and Chabot, T. and Gerber, B.},
   Title = {Vision-based navigation for debris removal missions},
   BookTitle = {63rd International Astronautical Congress},
   Address = {Naples, Italia},
   Month = {September},
   Year = {2012}
}

EndNote Reference [help]

Get EndNote Reference (.ref)

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