Computing depth maps from descent imagery
This paper addresses the generation depth maps from the descent images.
Engineering topics
Publications and source records attributed to Olson, C..
This paper addresses the generation depth maps from the descent images.
Our objective is to produce high-accuracy maps of the terrain elevation at landing sites on planetary bodies through the use of all available image data. These technologies are important for performing rover navigation in future space missions and the maps provide a tool for coordinating rovers in a robotic colony.
Military test ranges containing unexploded ordnance due to live-fire testing and training exercises are a significant safety problem in many locations.
In image matching applications such as tracking and stereo matching, it is common to use the sum-of-squared-differences (SSD) measure to determine the best match for an image template.
Several methods for computing observer motion from monocular and stereo image sequences have been proposed.
We describe techniques to optimally select landmarks in order to perform mobile robot localization in matching terrain maps.
Popular algorithms for feature matching and model extraction fall into two broad categories, generate-and-test and Hough transform variations.
The Mars Pathfinder mission illustrated the benefits of including a mobile robotic explorer on a plantary mission.
We describe techniques for performing mobile robot localization using occupancy grids that enable both subpixel localization to be performed and uncertainty estimates to be computed.
Robust navigation through rocky terrain by small mobile robots is important for maximizing science return from upcoming missions to Mars.
Localization is a critical issue in mobile robotics.
It is typical in edge and corner detection applications to examine a single scale or to consider some space of scales in the image without knowing which scale is appropriate for each location in the image.
The edges that are detected are thus at the same scale in the world, rather than at the same scale in the image.
This report describes a dataset of color, stereo images of ordnance collected at a live-fire test range near Nellis Air Force Base.
The fabrication, materials characterization, and performance of thin film platinum rhodium thermocouples on gas turbine alloys was investigated. The materials chosen for the study were the turbine blade alloy systems MAR M200+Hf with NiCoCrAlY and FeCrAlY coatings, and vane alloy systems MAR M509 with FeCrAlY. Research was focussed on making improvements in the problem areas of coating substrate stability, adhesion, and insulation reliability and durability. Diffusion profiles between the substrate and coating with and without barrier coatings of Al2O3 are reported. The relationships between fabrication parameters of thermal oxidation and sputtering of the insulator and its characterization and performance are described. The best thin film thermocouples were fabricated with the NiCoCrAlY coatings which were thermally oxidized and sputter coated with Al2O3.
Analyses of solar cell and module process steps for throughput rate, cost effectiveness, and reproductibility are reported. In addition to the concentration on cell and module processing sequences, an investigation was made into the capability of using microwave energy in the diffusion, sintering, and thick film firing steps of cell processing. Although the entire process sequence was integrated, the steps are treated individually with test and experimental data, conclusions, and recommendations.
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The low-cost, easily automated processing for solar cell fabrication being developed at Spectrolab for the DOE LSA program is described. These processes include plasma-etching, spray-on diffusion sources and antireflective coating, thick film metallization, aluminum back contacts, laser scribing and ultrasonic soldering. The process sequence has been shown to produce solar cells having 15% conversion efficiency at AM1 which meet the cell fabrication budget required for the DOE 1986 cost goal of $0.70 per peak watt in 1980.