Abstract
Abstract This paper presents a hybrid navigation and control method for intelligent wheelchair. A robust and semi-supervised vision tracking method using Microsoft Kinect and obstacle avoidance navigation approach are integrated into a two-level control system. Then, position tracking control considering nonholonomic constraints are adopted for the motion control of wheelchairs. An indoor environment is set up for evaluating the application of the proposed approaches. The experimental results show that the proposed method is effective and can be used as a hands-free controller for the intelligent wheelchair.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
