Relationship between operational efficiency and field-refreshing rates of stereoscopic image-pairs in teleoperational work

T. Ienaga, K. Matsunaga, K. Shidoji, K. Goshi, Y. Matsuki, H. Nagata

Research output: Contribution to journalConference articlepeer-review

Abstract

Most teleoperations require both wide vision for work space recognition and fine vision for the recognition of the object structure. To achieve a high operational efficiency in teleoperations, we developed the Q stereoscopic video system which was constructed by four video sets. Therefore, it requires four video channels to transmit video signals. However, four channels are not always free for the video system. Presently, only six wireless channels are assigned for controlling the machines at Japanese construction sites. To reduce the number of channels for video images, we tried to send the images from two cameras in a single channel alternatively. It was not clear how many field-refreshing rates of video images were necessary for teleoperations. We researched the relationship between operational efficiency and the number of field-refreshing rates per second. In the experiment, subjects were required to pick a cylindrical object up and insert it into a hole by operating a tele-robot under stereoscopic images in 60 Hz and 30 Hz field-refreshing rates. The results showed no significant differences between the two conditions in the completion time and the number of errors. Therefore, it is possible to reduce the field-refreshing rates by half, and provide two channels the Q stereoscopic video system without reducing the operational efficiency.

Original languageEnglish
Pages (from-to)83-90
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume4297
DOIs
Publication statusPublished - Jan 1 2001
EventStereoscopic Displays and Virtual Reality Systems VIII - San Jose, CA, United States
Duration: Jan 22 2001Jan 25 2001

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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