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

Karakkat16a

V. Karakkat-Narayanan, F. Pasteau, M. Marchal, A. Krupa, M. Babel. Vision-based adaptive assistance and haptic guidance for safe wheelchair corridor following. Computer Vision and Image Understanding, CVIU, SI on Assistive Robotics and CV, pages 171-185, August 2016.

Download [help]

Download paper: Doi page

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 case of motor impairments, steering a wheelchair can become a hazardous task. Joystick jerks induced by uncontrolled motions may lead to wall collisions when a user steers a wheelchair along a corridor. This work introduces a low-cost assistive and guidance system for indoor corridor navigation in a wheelchair, which uses purely visual infoÒrmation, and which is capable of providing automatic trajectory correction and haptic guidance in order to avoid wall collisions. A visual servoing approach to autonomous corridor following serves as the backbone to this system. The algorithm employs natural image features which can be robustly extracteÒd in real time. This algorithm is then fused with manual joystick input from the user so that progressive assistance and trajectory correction can be activated as soon as the user is in danger of collision. A force feedback in conjunction with the assistance is provided on the joystick in order to guide the user out of his dangerous trajectory. This ensures intuitive guidance and minimal interference from the trajectory correction system. In addition to being a low-cost approach, it can be seen that the proposed solution does not require an a-priori environment model. Experiments on a robotised wheelchair equipped with a monocular camera prove the capability of the system to adaptively guide and assist a user navigating in a corridor

Contact

Vishnu Karakkat-Narayanan
Alexandre Krupa
Marie Babel

BibTex Reference

@article{Karakkat16a,
   Author = {Karakkat-Narayanan, V. and Pasteau, F. and Marchal, M. and Krupa, A. and Babel, M.},
   Title = {Vision-based adaptive assistance and haptic guidance for safe wheelchair corridor following},
   Journal = {Computer Vision and Image Understanding, CVIU, SI on Assistive Robotics and CV},
   Pages = {171--185},
   Month = {August},
   Year = {2016}
}

EndNote Reference [help]

Get EndNote Reference (.ref)

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