Title
Analysis of effective environmental-camera images using virtual environment for advanced unmanned construction
Abstract
Unmanned construction machines are used after disasters. Compared with manned construction, time efficiency is lower because of incomplete visual information, communication delay, and lack of tactile experience. Visual information is the most fundamental items for planning and judgment, however, in current vision systems, even the posture and zoom of cameras are not adjusted. To improve operator's visibility, these parameters must be adjusted in accordance with the work situation. The purpose of this study is thus to analyze effective camera images from some comparison experiments, as a fundamental study of advanced visual support. We first developed a virtual reality simulator to enable experimental conditions to be modified easier. To effectively derive required images, experiments with two different camera positions and systems (fixed cameras and manually controllable cameras) were then conducted. The results indicate that enlarged views to show the manipulator is needed in object grasping and tracking images to show the movement direction of the manipulator is needed in largely end-point movement. The result also confirms that the operational accuracy increases and blind spot rate decreases by using the manual system, compared with fixed system.
Year
DOI
Venue
2014
10.1109/AIM.2014.6878155
AIM
Keywords
Field
DocType
cameras,construction equipment,control engineering computing,manipulators,object tracking,remotely operated vehicles,robot vision,virtual reality,blind spot rate,camera posture,camera zoom,environmental-camera images,manipulator movement direction,object grasping image,object tracking image,time efficiency,unmanned construction machines,virtual environment,virtual reality simulator,vision systems,visual information,visual support,visualization
Computer vision,Visibility,Virtual machine,Virtual reality simulator,Simulation,Computer science,Manipulator,Zoom,Blind spot,Artificial intelligence,Operator (computer programming)
Conference
ISSN
Citations 
PageRank 
2159-6255
1
0.48
References 
Authors
3
4
Name
Order
Citations
PageRank
Junjie Yang111.83
Kamezaki, M.210.48
Hiroo Iwata3634150.15
S. Sugano4403.71