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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2014/39920
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| Title: | Autonomous detection of dust devils and clouds on Mars |
| Authors: | Castano, Andres
Fukunaga, Alex
Biesiadecki, Jeffrey
Neakrase, Lynn
Whelley, Patrick
Greeley, Ronald
Lemmon, Mark
Castano, Rebecca
Chien, Steve |
| Keywords: | onboard science
Mars Exploration Rovers (MER)
dust devil detector
cloud detector |
| Issue Date: | 8-Oct-2006 |
| Publisher: | Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2006. |
| Citation: | IEEE International Conference on Image Processing Atlanta, Georgia, October 8-11, 2006. |
| Abstract: | Acquisition of science in space applications is shifting from teleoperated gathering to an automated on-board analysis with improvements in the use of on-board memory, CPU, bandwidth and data quality. In this paper, we describe algorithms to autonomously detect dust devils and clouds from a rover and summarize the results. These algorithms meet high hitto-miss ratios and satisfy strict requirements of CPU, memory usage and bandwidth. The detectors have been scheduled for upload to the Mars Exploration Rovers (MER) in 2006. These are the first autonomous science processes in the rovers. |
| URI: | http://hdl.handle.net/2014/39920 |
| Appears in Collections: | JPL TRS 1992+
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