Michael Kaess
Center for Robotics and Intelligent Machines, Georgia Tech GT CoC IC GVU RIM@GT BORG

please see my MIT page for up-to-date information

Compact Encoding of Robot-Generated 3D Maps for Efficient Wireless Transmission

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“Compact Encoding of Robot-Generated 3D Maps for Efficient Wireless Transmission” by M. Kaess, R.C. Arkin, and J. Rossignac. In IEEE Intl. Conf. on Advanced Robotics, ICAR, (Coimbra, Portugal), June 2003, pp. 324-331.

Abstract

This work focuses on real-time compression of laser data on board a mobile robot platform. Data is transmitted from the robot over low-bandwidth channels or incrementally in short bursts to a host, where it can be further processed for visualization. For compression purposes, the data is represented as a gray scale depth image. Considered are existing lossless image and file compression schemes (Unix compress, gzip, bzip2, PNG, Jpeg-LS), as well as wavelet transformations tailored to the specific nature of the data. Testing is done on several sets of indoor data acquired by a robot moving through rooms and hallways. The results show that Jpeg-LS compression performs best in this setting.

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BibTeX entry:

@inproceedings{Kaess03icar,
   author = {M. Kaess and R.C. Arkin and J. Rossignac},
   title = {Compact Encoding of Robot-Generated 3{D} Maps for Efficient
	Wireless Transmission},
   booktitle = {IEEE Intl. Conf. on Advanced Robotics, ICAR},
   pages = {324-331},
   address = {Coimbra, Portugal},
   month = {Jun},
   year = {2003}
}