ROS-based Autonomous Navigation Wheelchair using Omnidirectional Sensor | Zendy

Yassine Nasri | Zendy; Vincent Vauchey | Zendy; Redouane Khemmar | Zendy; Nicolas Ragot | Zendy; Konstantinos Sirlantzis | Zendy; Jean-Yves Ertaud | Zendy

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ROS-based Autonomous Navigation Wheelchair using Omnidirectional Sensor

Author(s) -

Yassine Nasri,

Vincent Vauchey,

Redouane Khemmar,

Nicolas Ragot,

Konstantinos Sirlantzis,

Jean-Yves Ertaud

Publication year - 2016

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/ijca2016907533

Subject(s) - wheelchair , computer science , omnidirectional antenna , human–computer interaction , computer vision , artificial intelligence , telecommunications , world wide web , antenna (radio)

In the medical sector, and mainly for dependent patients with movement disabilities, controlling an electric powered wheelchair could prove a challenging task. Thus, implementing an autonomous navigation algorithm for static/dynamic environments could provide an easier way to move. Within this context, this paper presents innovative work on integrating a novel method of image-based geolocalization in a powered wheelchair. The work focuses on integrating the geolocalization algorithm within the Robot Operating System (ROS) framework. Tests are being conducted using an omnidirectional camera fixed on an automated wheelchair control system. Our results show low control errors both in straight line and curved paths. The proposed algorithm was developed by the ESIGELEC laboratory.

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