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Essential autonomous science inference on rovers (easir)
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Gazis, Paul Morris, Robert Shipman, Mark Roush, Ted L. Pedersen, Liam |
| Copyright Year | 2003 |
| Description | Existing constraints on time, computational, and communication resources associated with Mars rover missions suggest on-board science evaluation of sensor data can contribute to decreasing human-directed operational planning, optimizing returned science data volumes, and recognition of unique or novel data. All of which act to increase the scientific return from a mission. Many different levels of science autonomy exist and each impacts the data collected and returned by, and activities of, rovers. Several computational algorithms, designed to recognize objects of interest to geologists and biologists, are discussed. The algorithms represent various functions that producing scientific opinions and several scenarios illustrate how the opinions can be used. |
| File Size | 1229813 |
| Page Count | 10 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20040010821 |
| Archival Resource Key | ark:/13960/t73v4j209 |
| Language | English |
| Publisher Date | 2003-01-01 |
| Access Restriction | Open |
| Subject Keyword | Lunar And Planetary Science And Exploration Image Analysis Spectrum Analysis Aerospace Sciences Inference Nasa Space Programs Autonomy Detection Expert Systems Mars Roving Vehicles Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
