Paper
22 July 1999 VirtualwindoW: a reconfigurable modular stereo vision system
Robert A. Kinoshita, Matthew O. Anderson, Mark D. McKay, Walter David Willis
Author Affiliations +
Abstract
An important need while using unmanned vehicles is the ability for the remote operator or observer to easily and accurately perceive the operating environment. A classic problem in providing a complete representation of the remote work area is sensory overload or excessive complexity in the human-machine interface. In addition, remote operations often benefit from depth perception capability while viewing or manipulating objects. Thus, there is an on going effort within the remote and teleoperated robotic field to develop better human-machine interfaces. The Department of Energy's Idaho National Engineering and Environmental Laboratory (INEEL) has been researching methods to simplify the human-machine interface using atypical operator techniques. Initial telepresence research conducted at the INEEL developed and implemented a concept called the VirtualwindoW. This system minimized the complexity of remote stereo viewing controls and provided the operator the 'feel' of viewing the environment, including depth perception, in a natural setting. The VirtualwindoW has shown that the human-machine interface can be simplified while increasing operator performance. This paper deals with the continuing research and development of the VirtualwindoW to provide a reconfigurable, modular system that easily utilizes commercially available off the shelf components. This adaptability is well suited to several aspects of unmanned vehicle applications, most notably environmental perception and vehicle control.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert A. Kinoshita, Matthew O. Anderson, Mark D. McKay, and Walter David Willis "VirtualwindoW: a reconfigurable modular stereo vision system", Proc. SPIE 3693, Unmanned Ground Vehicle Technology, (22 July 1999); https://doi.org/10.1117/12.354444
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KEYWORDS
Video

Cameras

Control systems

Zoom lenses

Head

Stereo vision systems

Computing systems

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