Karen T. Sutherland. The stability of geometric inference in location determination. Technical Report UUCS-94-021, University of Utah, July 1994. Home/Search Document Details and Download
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Outdoor Visual Position Estimation for Planetary Rovers - Cozman (Correct)
....estimation is to produce a region containing all possible position estimates. These region based estimates encode information about the stability of geometric inference; the larger the region, the poorer the estimate [43] Their system produces region based estimates, called areas of uncertainty [42], using correspondences between image and map features to produce pose estimates. In their test of the system, an area of uncertainty of 0.1405 km 2 around the correct pose was generated from a panoramic image (for comparison purposes, 0.1405 km 2 is the area of a square with 375 meters in ....
K. T. Sutherland. The Stability of Geometric Inference in Location Determination. PhD thesis, Department of Computer Science, University of Utah, July 1994.
Image Understanding Research at the University of Utah - Thompson, Henderson (Correct)
....of landmarks on which the viewpoint lies. If movement was toward the center feature, both visual angles would increase in size. As an example, again consider the map shown in Figure 5 with the only viewer knowledge being that landmark A is in the center. As shown in [ Sutherland, 1994a, Sutherland, 1994b] the movement required to observe a difference in anglemeasure significant enough to determine landmark order is so small that the distinction between views is almost imperceptible to a human observer. ....
K.T. Sutherland. The stability of geometric inference in location determination. Technical Report UUCS-94-021, University of Utah, 1994.
Ordering Landmarks in a View - Sutherland (1994) (1 citation) Self-citation (Sutherland) (Correct)
....unless all three landmarks and the viewpoint lie on a single circle. The primary advantage of using this approach to selflocalization in large unstructured environments is that the problems associated with the use of instruments are avoided. Compasses and altimeters are often rendered useless [Sutherland, 1994] . Mountains block out and clouds distort signals from GPS satellites [Mattos, 1992, Cohen et al. 1993] Our approach has been to use only three landmarks, choosing the triple which will give the best localization for any given error bound in visual angle measure [Sutherland, 1994] This paper ....
.... useless [Sutherland, 1994] Mountains block out and clouds distort signals from GPS satellites [Mattos, 1992, Cohen et al. 1993] Our approach has been to use only three landmarks, choosing the triple which will give the best localization for any given error bound in visual angle measure [Sutherland, 1994] . This paper continues in that vein, with the underlying goal of obtaining the most information possible from a minimal amount of data. For that reason, adding more landmark points to a single triple is not considered here. 3 Angle measures from one viewpoint There are a number of constraints ....
Karen T. Sutherland. The stability of geometric inference in location determination. Technical Report UUCS-94-021, University of Utah, July 1994.
Ordering Landmarks in a View - Sutherland (1994) (1 citation) Self-citation (Sutherland) (Correct)
....unless all three landmarks and the viewpoint lie on a single circle. The primary advantage of using this approach to selflocalization in large unstructured environments is that the problems associated with the use of instruments are avoided. Compasses and altimeters are often rendered useless [Sutherland, 1994] . Mountains block out and clouds distort signals from GPS satellites [Mattos, 1992, Cohen et al. 1993] Our approach has been to use only three landmarks, choosing the triple which will give the best localization for any given error bound in visual angle measure [Sutherland, 1994] This paper ....
.... useless [Sutherland, 1994] Mountains block out and clouds distort signals from GPS satellites [Mattos, 1992, Cohen et al. 1993] Our approach has been to use only three landmarks, choosing the triple which will give the best localization for any given error bound in visual angle measure [Sutherland, 1994] . This paper continues in that vein, with the underlying goal of obtaining the most information possible from a minimal amount of data. For that reason, adding more landmark points to a single triple is not considered here. 3 Angle measures from one viewpoint There are a number of constraints ....
Karen T. Sutherland. The stability of geometric inference in location determination. Technical Report UUCS-94-021, University of Utah, July 1994.
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