Potansiyel Alanlar lie Kinect Tabanli Akuilli Tekerlekli Sandalye Navigasyonu Kinect Based Intelligent Wheelchair Navigation with Potential Fields

Ozcelikors M., Coskun A., Say G., Yayan U., Akcakoca M., Kilic I.

22nd IEEE Signal Processing and Communications Applications Conference (SIU), Trabzon, Türkiye, 23 - 25 Nisan 2014, ss.397-400 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Basıldığı Şehir: Trabzon
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.397-400
  • Eskişehir Osmangazi Üniversitesi Adresli: Evet

Özet

Increasing population of elderly and people with disabilities constitute a huge demand for wheelchairs. Wheelchairs have an important place to improve the lives of and mobilize people with disabilities. Also, autonomous wheelchairs constitute a suitable research platform for academic and industrial researchers. In this study, a finite state machine-based high-level controller and a Kinectbased navigation algorithm have been developed for the Intelligent Wheelchair (ATEKS) that has high-tech control mechanisms, low-cost sensor equipment, and open source software (ROS, GAZEBO). Designed finite state machine and algorithm are tested in Gazebo.