Title
Automated generation of image products for Mars Exploration Rover mission tactical operations.
Abstract
During the period of development prior to the January, 2004 landing of the Mars Exploration Rover (MER) project's twin robotic vehicles on Mars, mission operations personnel recognized the need for timely generation and delivery of camera image products for rover traverse planning purposes. The task was assigned to the Multimission Image Processing Laboratory (MIPL), an element of the Jet Propulsion Laboratory (JPL). This paper will report on the ensuing design that involved sequentially transporting, or "pipelining", telemetered MER camera image data between disparate computer processes executed in parallel across multiple machine resources. Discussion will touch on the fundamental aspects of the system's event-driven processing strategy that provided autonomy in its operation. Overviews of the interconnecting process streams will be provided. In the end, it will be apparent to the reader that MIPL designed a system of image product generating systems built with robustness to meet rover planning requirements and with sufficient versatility to meet expanding operations needs in short order.
Year
DOI
Venue
2005
10.1109/ICSMC.2005.1571264
SMC
Keywords
Field
DocType
aerospace computing,aerospace robotics,image processing,mobile robots,planetary rovers,Jet Propulsion Laboratory,Mars Exploration Rover mission,Multimission Image Processing Laboratory,camera image data,event-driven processing strategy,image product generation,robotic vehicles,rover traverse planning purposes,JPL,MER,MIPL,Mars,data,image,pipeline,process,product,rover,work flow
Systems engineering,Propulsion,Computer science,Terrain,Image processing,Robustness (computer science),Artificial intelligence,Traverse,Mars Exploration Program,Simulation,Machine learning,Mobile robot,Exploration of Mars
Conference
Volume
ISSN
Citations 
1
1062-922X
1
PageRank 
References 
Authors
0.48
1
5
Name
Order
Citations
PageRank
Doug Alexander110.48
Payam Zamani210.48
Robert Deen321.54
Paul Andres410.48
Helen Mortensen5204.59