Kinect based intelligent wheelchair navigation with potential fields
dc.citation.epage | 337 | en_US |
dc.citation.spage | 330 | en_US |
dc.contributor.author | Özçelikörs, M. | en_US |
dc.contributor.author | Çoşkun, A. | en_US |
dc.contributor.author | Say, M. Girayhan | en_US |
dc.contributor.author | Yazici, A. | en_US |
dc.contributor.author | Yayan, U. | en_US |
dc.contributor.author | Akçakoca, M. | en_US |
dc.coverage.spatial | Alberobello, Italy | en_US |
dc.date.accessioned | 2016-02-08T11:38:25Z | |
dc.date.available | 2016-02-08T11:38:25Z | |
dc.date.issued | 2014 | en_US |
dc.department | Institute of Materials Science and Nanotechnology (UNAM) | en_US |
dc.description | Date of Conference: 23-25 June 2014 | en_US |
dc.description.abstract | Increasing elderly people population and people with disabilities constitute a huge demand for wheelchairs. Wheelchairs have an important role on improving the lives and mobilization of people with disabilities. Moreover, autonomous wheelchairs constitute a suitable research platform for academic and industrial researchers. In this study, Finite state machine (FSM) based high-level controller and Kinect based navigation algorithm have been developed for ATEKS (Intelligent Wheelchair) which has high-tech control mechanisms, low-cost sensors and open source software (ROS, GAZEBO, ANDROID). © 2014 IEEE. | en_US |
dc.description.provenance | Made available in DSpace on 2016-02-08T11:38:25Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2014 | en |
dc.identifier.doi | 10.1109/INISTA.2014.6873640 | en_US |
dc.identifier.uri | http://hdl.handle.net/11693/26875 | |
dc.language.iso | English | en_US |
dc.publisher | IEEE | en_US |
dc.relation.isversionof | https://doi.org/10.1109/INISTA.2014.6873640 | en_US |
dc.source.title | 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings | en_US |
dc.subject | Finite automata | en_US |
dc.subject | Industrial research | en_US |
dc.subject | Intelligent robots | en_US |
dc.subject | Intelligent systems | en_US |
dc.subject | Navigation | en_US |
dc.subject | Open source software | en_US |
dc.subject | Software engineering | en_US |
dc.subject | Wheelchairs | en_US |
dc.subject | In-door navigations | en_US |
dc.subject | Intelligent wheelchair | en_US |
dc.subject | Kinect | en_US |
dc.subject | Potential field | en_US |
dc.subject | ROS | en_US |
dc.subject | Mobile robots | en_US |
dc.title | Kinect based intelligent wheelchair navigation with potential fields | en_US |
dc.type | Conference Paper | en_US |
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