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Proceedings Paper

Video Compression For Remote Vehicle Driving
Author(s): Martin Herman; Karen Chaconas; Marily Nashman; Tsai-Hong Hong
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Paper Abstract

In order to effectively drive a remote ground vehicle using video images, the operator must be provided with a natural, real-time video sequence and the imagery must be accurate and detailed enough so that the operator can make mobility and survivability decisions. Unfortunately, high data rate communication channels are often not feasible for this task. To accomplish remote driving using a low data rate channel, video compression techniques must be incorporated. This paper discusses the remote vehicle driving problem and describes several video compression algorithms that have been implemented on PIPE, a real-time pipelined image processing machine. The paper then discusses how these algorithms are evaluated on real-world remote driving tests. Finally, advanced techniques for video compression are proposed.

Paper Details

Date Published: 10 March 1989
PDF: 10 pages
Proc. SPIE 1007, Mobile Robots III, (10 March 1989); doi: 10.1117/12.949092
Show Author Affiliations
Martin Herman, National Institute of Standards and Technology (United States)
Karen Chaconas, National Institute of Standards and Technology (United States)
Marily Nashman, National Institute of Standards and Technology (United States)
Tsai-Hong Hong, National Institute of Standards and Technology (United States)

Published in SPIE Proceedings Vol. 1007:
Mobile Robots III
William J. Wolfe, Editor(s)

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