The present invention is in the field of measuring roofing dimensions and other attributes, and more particularly pertains to the use of aerial imagery in that field.
Roof measuring, for example, dimension, length and areas has been done for many years, such as in connection with for estimating and bidding roofing jobs. Also, for many years, companies and products have offered such estimation services and reporting software reports using aerial imagery on which roof line outlines are traced, dimensions and areas are automatically based on those tracings, and vertical elevations (via pitch or otherwise) are included in mathematical models.
The present invention is an improvement on such aerial imagery, systems and processes, providing non-obvious features that enhance convenience, flexibility, and/or accuracy.
The claims, and only the claims, define the invention. The present invention includes several, but not necessarily all, of creating a first layer and a second layer, in computer memory and substantially overlapping at least a segment of line from said first layer with at least a segment of another line from said second layer, wherein said first non-dimensional attribute is different from said second non-dimensional attribute; and/or an interactive computer file, said interactive computer file including: length numeric values and at least one user length field enabling a client with said interactive file to override at least one of said length numeric values, where said area operator may automatically recalculate area based on said length field override; and/or, providing at least one computer input field for a user to input first location data generally corresponding to the location of the building; on said imagery of an area providing a visual marker that is moveable on said computer monitor around a region, said marker initially corresponding to said first location data, wherein said marker may be moved to a final location on top of the building to more precisely identify the location of the building roof structure; and providing a computer input capable of signaling user-acceptance of the final location of said marker; and/or other features, optionally combined in various ways as set forth in the claims.
For the purposes of promoting an understanding of the principles of the invention, reference will now be made to the examples, sometimes referred to as embodiments, illustrated and/or described herein. Those are mere examples. It will nevertheless be understood that no limitation of the scope of the invention is thereby intended. Such alterations and further modifications in the described processes, systems or devices, any further applications of the principles of the invention as described herein, are contemplated as would normally occur to one skilled in the art to which the invention relates, now and/or in the future in light of this document.
As used in the claims and the specification, the following terms have the following definitions:
The term “adjustment roof plane” means a roof plane, having at least three border lines, that may be hidden (partially or totally) from view from some or all aerial imagery and which may be included to add to (or subtract from) an aggregate roof area or other attributes.
The term “aerial imagery” means pictures, normally including photographs (visual light, infrared, color, black and white, or otherwise) taken from an overhead view (straight down, oblique, or otherwise) with respect to a building roof. This may include imagery taken from airplanes, satellites, balloons, or otherwise.
The term “attributes” means one or more distinguishing or identifying characteristic.
The term “border line” means a line segment, straight, curved, free form or otherwise that generally corresponds with the edge of a roof plane.
The term “building” means a real estate structure, such as for example, a house, condominium, office building, outbuilding, garage, warehouse, factory or otherwise.
The term “client” means a person or entity that orders or obtains an aerial imagery report.
The term “computer input” means data, information and/or signals provided by a computer user. This may include numbers, words, mouse clicks, “enter”, check boxes, dialog boxes, and otherwise.
The term “computer monitor” includes any computer screen or other visual output, including projectors, flat panel screens, LCD screens, LED screens and otherwise that provide visual output from a computer.
The term “computer processing means” means computer hardware and software, including computer memory, microprocessors, computer code and computer logic to provide digital computing.
The term “contrast” means discernable relative differences in lightness and darkness.
The term “deliverable” means that which is or may be delivered to a client, including printed and/or electronic reports and information.
The term “digital” means using numeric digits, specifically including binary digits.
The term “direct proportion” means that one or more variables that change as a function as another value in a generally linear function.
The term “dissects” means to sub-divide into two or more parts.
The term “electronic drawing” means to draw lines and/or shapes electronically via computer. This can include pixel-based drawings, vector-based drawings, and/or otherwise.
The term “field” means a location for computer data input and/or output of a value having at least one corresponding associated place in computer memory.
The term “final location” is the relative spot for placing a marker. This normally corresponds to unique latitude and longitude coordinates.
The term “generating” means to make or create.
The term “imagery database” means a computer database containing aerial imagery computer files and the associated location coordinates.
The term “interactive computer file” is a computer file in which a user may input and/or override one or more numeric values stored in memory as part of the file.
The term “internet-based imagery” means imagery, such as aerial imagery, which is accessible through an internet access connection. One popular example is Google® Earth.
The term “latitude and longitude coordinates” mean numeric coordinates for a location on the planet corresponding to latitude (east, west) and longitude (north, south).
The term “layer” means a part of a graphic computer file that visually overlays one or more other parts and which has at least partially transparent portions allowing visualizations of parts/layers below it.
The term “lines” means a straight, curved, and/or free form segment.
The term “location data” means information which uniquely identifies geographic position. This may include latitude and longitude coordinates, street addresses and/or otherwise.
The term “non-dimensional attribute” means an attribute other than a numeric value, such as other than length, width, height, or area.
The term “numeric values” means alphanumeric numbers, and/or their binary equivalent.
The term “operator” means a mathematical function including, but not limited to multiplication, division, addition, subtraction, sum, average, square root and/or the foregoing with or without constant and/or co-efficient.
The term “orientation” means the direction of something with respect to something else.
The term “outline” means the path or collection of lines generally coinciding with the outside of a shape.
The term “outline drawing” means drawing of lines around an outline.
The term “over said imagery” means position on top of and in alignment with underlying Imagery.
The term “override” means to substitute or replace one value for another value. This may be done with numeric values, non-dimensional attributes and otherwise.
The term “perimeter lines” means a line or lines that outline the outer most edge of a roof structure. This can include, but is not limited to, a roof free edge with a gutter and to a roof free edge without a gutter.
The term “pitch numeric value” is a single numeric value corresponding to the pitch or slope of a portion of roofing.
The term “proportioning” means to increase or decrease the size of a line, outline or other object to directly proportional to the change in another object.
The term “region” means a location on earth that is depicted in aerial imagery. Ordinarily, it will include at least one entire building structure, and preferably, will include at least some features, such as streets, trees, or other buildings adjacent the building structure.
The term “report” means one or more pages or screen shots, or both, made available to a user including aerial imagery and/or data from such imagery. This includes, but is not limited to, one or more interactive computer files.
The term “roof flashing edge” means an edge where roofing meets with a generally vertical structure, such as a wall, typically with flashing.
The term “roof free edge with a gutter” means the unbound edge of a roof with a rain drainage gutter.
The term “roof free edge without a gutter” means the unbound edge of a roof without a rain drainage gutter.
The term “roof hip” means an edge where two roof planes meet to form a generally upward sloping ridge.
The term “roof pitch” means the slope of a roof plane. It may be expressed in angles, ratios, or otherwise. This includes stating the rise over run, as well as stating merely the rise in view of an assumed or industry standard run. For example, a slope of 6 inch rise for every 12 inch run (horizontal″) may be stated to be a “6” pitch.
The term “roof plane” means a generally planer, segment of a roof.
The term “roof ridge” means an edge where two generally upward sloping roof planes meet.
The term “roof structure” means the top of a building which shelters the building from weather.
The term “roof valley” means an edge where two generally downward sloping roof planes meet.
The term “street address data” means the location typically used by postal identification, typically including at least one numeric value and at least one street name, and further typically including a zip code or other postal code and/or a town and state or province.
The term “street address look up field” means a computer field for entry of street address data.
The term “substantially overlapping” means that where one line, in whole or in substantial part, coincides with another line in terms of direction and overlap. This may include situations where the respective lines are of substantially different length, or not.
The term “substituent triangles” means two or more congruent triangles which collectively form a subset of another geometric shape.
The term “tracing” means drawing around an outline or along a line or feature depicted in Imagery.
The term “user-acceptance” means an affirmative step or series of steps or computer input, undertaken by user to make a selection.
The term “vector direction” means, in relative space, either two dimensionally or three dimensionally where a vector is pointing.
The term “visual marker” is a shape, pointer, label, icon, avatar or other indicator which is movable or displayable on a computer screen and which may be visually differentiated from other objects on the computer screen.
The term “visually depicting” means to show or illustrate something on a computer monitor as a graphical image.
Articles and phases such as, “the”, “a”, “an”, “at least one”, and “a first”, are not limited to mean only one, but rather are inclusive and open ended to also include, optionally, two or more of such elements.
The language used in the claims is to only have its plain and ordinary meaning, except as explicitly defined above. Such plain and ordinary meaning is inclusive of all consistent dictionary definitions from the most recently published Webster's dictionaries and Random House dictionaries.
Referring to the drawing figures, these are only examples of the invention, and the invention is not limited to what is shown in the drawings.
Referring to
The creation of the first line drawing 2 may be done a multitude of ways, in one example is illustrated in
Another optional feature is computer processing means for calculating a vector direction corresponding to roof pitch for a roof plane. Optionally, this may be based on at least one of said non-dimensional attributes of roof plane outline lines and their orientation. Such computer processing means typically includes computer logic and/or code with a set of rules to establish such vector. Examples of such vector are shown in
An example of computer programming to determine pitch direction is as follows.
1.) Pitch will run towards a perimeter line. If only one perimeter line pitch goes towards the perimeter (most standard roofs, all but the ends of hips);
2.) If there are multiple perimeters that are not parallel, look for ridge. If there is only a single ridge line and it is parallel to one of the perimeter lines, pitch runs from the ridge towards the perimeter. (Perimeters that are not straight and have small outcroppings where the roof extends further down the same slope).
3.) If a shape has no multiple perimeters and multiple ridges where none are parallel, take an average of the ridge angles and see if that direction is perpendicular to a perimeter line. If so, that direction is the direction of the pitch. (The end of hip roofs).
Most planes are resolved by the above acts, 2 and/or 3. Acts 4 and 5, below, are also optional but preferred, and address totally enclosed roof planes which most standard roofs do not have.
4.) If there are no perimeter lines and a single ridge line, the pitch is from the ridge.
5.) If there are no perimeter lines and multiple ridge lines, once finding the pitch for all other shapes look at the ridges and the shared shapes. If the shared shape has a pitch directly away (is perpendicular) from the shared ridge, use that ridge as if it were 2 (from above). If the other pitch goes at an angle to the ridge, look at other ridges.
The case where you can make it past act 5 and not have pitch direction is for completely enclosed shapes where all sides are valleys at the intersection of multiple planes, set forth in this optional act:
6.) take the average slope of all other planes connected via shared lines and average the slope direction of the planes, whose pitch runs into the plane in question; use that direction as the pitch direction for the plane.
Variations on that logic, including changing the order, and/or combining or splitting acts, may optionally be used. For example, rather than beginning with logic looking to run pitch towards a perimeter, the logic could begin to look to first run the pitch vector away from a ridge line, although this is less preferred.
As illustrated in report 550 as seen in
Optionally, one or more deliverables to the client include one or more reports such as report 550. Report 550 may include one or more of the features as depicted in the various drawings of
Optionally, such report may be printed on a piece of paper, or provided on a non-interactive computer file such as a .pdf (Adobe® Acrobat®) type image or otherwise, illustrated on a computer screen for the user to print out (web based or otherwise) and/or delivered on recordable media such USB drive, floppy disk, CD, DVD, email attachment or otherwise. However, preferably, such file is delivered as an interactive computer file. For example, referring again to
As can be appreciated in three-dimensional geometry, given the shape of plane D (516) the value of the pitch ordinarily will affect the overall area of such roofing (see e.g.
Mathematical equations demonstrating-area relationship for a sloped, rectangular roof plane are known, an example of which is set forth below:
Area=W×Z
Z=square root of: (X2+Y2)
Where:
W=width
X=horizontal run
Y=vertical rise
Z=hypotenuse of X-Y-Z right triangle.
Other, geometries may be calculated using known math, coefficients and/or tables. See for example: Miller, Mark; Miller's Guide to Roofing (2005) ISBN 0-07-145144-7. Thus, in combination with the perimeter measurements supplied with the report based on the creation of roof plane D from the imagery, the addition of the roof pitch value may lead to the calculation such as in the example 357.93 sq. ft. shown at 516b. Likewise, for plane 0, the value of “6” may be entered in the table at 515c to arrive at the area calculation 515b as previously described. It should be appreciated, that optionally these pitch values may be provided by the end user or other persons based on field measurement. However, optionally, they also may be based on measurements and/or computer calculations precisely, by estimate or otherwise, such as by viewing oblique imagery such as region image 502 shown in
Another optional feature may include other attributes deliverable to the client including an interactive computer file. For example, the length values of lines forming an outline of a drawing may be overridden. For example, referring again to 5D, a reference line 514 is depicted. In this one example, it is depicted in the parenthetical quote (“R”), although this is not required. In such case, it is denoted “26” corresponding to 26 ft. in length. Note that all dimensions in this case may be converted to or express in metric, rather than English units, although for purpose of illustration English dimensions are utilized here.
In such case, even thought the referenced dimension 26 is based on scaling that line off of the imagery, such as imagery 506 (see
Moreover, while not illustrated, optional report 550 may include a separate table and/or field entry point apart from the drawing of the building roof structure 501 in which the reference line may be overridden instead or, or in addition to, fields directly overlying the aerial imagery and/or the drawn lines.
Optionally, but preferably, in addition to the length of the other lines being proportionally recalculated, likewise the area values, such as depicted in the area column of the table at
Various area calculations used in connection with computer data processing means are available based on known geometry. These could include things as simple as multiplying length times width of a single rectangle. They also may include modifying such area to take into account the additional area generated by pitch, as previously discussed. However, while not limited to this, preferably, taking advantage of the pixilated imagery that may be used, one optional feature in determining one or more areas of the respective roof planes is as follows. If you know the points (corners) of the shape and can order them in a clockwise (or optionally, counter-clockwise) fashion following the perimeter or outline of the shape, then the following algorithm can apply. Starting at the first endpoint, 0 (zero), while N+1 is less than the total ordered end points take the triangle made by the 3 points 0, N, and N+1 and compute the area of the triangle created, which is done by the dot product method using vectors created by going from 0 to N and 0 to N+1. Add this area to a running sum.
Note that when the three ordered endpoints are not in the proper order (they create a convex perimeter or outline of the shape that reduces the overall area as opposed to adding to), the dot product method of finding the area will return a (−) negative area which subtracts from the overall area in the running sum.
Dot product (2-Dimensional Vectors) can be expressed in the equation:
uv=u1v1+u2v2
This can be used to find the area of the square that the two vectors produce. Dividing the result by two (2) gives the area of the triangle the two vectors produce.
Thus, in this way an example is provided of computer data processing means that dissects the outlines of the roof planes into substituent triangles and calculates the area of such triangles. The areas are aggregated to provide the area of respective roof planes, and the areas of such respective roof planes may in turn be aggregated (summed) to arrive at the total area of the roof structure. Examples of this are shown in the table in
Hence, in
Another optional feature is to provide for user acceptance of the final location of a roof structure. One optional way to do this is to provide an internet based interface for the customer/user. One example of such is shown in
Also with reference to
Such translation to latitude and longitude coordinates also provides another optional feature. The present system and method may optionally include two or more separate imagery databases. For example, a lower resolution and/or less expensive image database such Google® Earth may be used as a first database, whereas a higher quality, higher resolution and/or more robust image database, such as by Pictometry International (as depicted here) may be used. Other vendors of imagery databases may be used and/or one may use their own image database(s). Thus, by translating the street address stated in longitude and latitude, it is easier to correlate to the second database. In this way, first imagery database from which the final location is selected may be internet based imagery having to corresponding street address look up field. Only further using the latitude and longitude coordinates to access imagery from a second imagery database, such as for example Pictometry's database. Thereafter, using the imagery from the second database can generate in computer memory outline drawings around outlines corresponding to roof planes based on tracing from imagery from said second imagery database. Such outline drawings may include drawings such as depicted in
Such oblique imagery also permits the optional feature, as previously discussed, determining vertical measurements and/or roof pitches based on the imagery, as opposed to based on field measurements. Conversely, one can undertake this without any oblique imagery and/or any determination of vertical measurements or pitch, and instead rely on field measurements or other means for pitch.
In
Mere examples of other optional features are depicted in
Note further that
In this regard, the label “common” also corresponds to Line E′ in connection with roof plane 717′ illustrated in isolation as roof plane 717. Other terms may be used instead of “common”, but this indication denotes two lines that are substantially overlapping and in which the main purpose of the line is merely for dissecting a common roof plane, normally for determining square feet area, as opposed to a non-dimensional attribute. This is because such “common” lines, in a sense, are imaginary between roof plane 715 and roof plane 717′ and/or 717. Alternatively, in the context of this building the attribute of line E could be “flashing” (instead of line Y being flashing) based on the reasonable assumption that this flat planed porch roof abuts the side of the building and has roof flashing along line Y. However, in such situation by denoting line E as flashing, in lieu of line Y, since they are of common length, this is merely a substitute for the total linear estimate of flashing of the type illustrated, for example at 513 (
Plane 716 illustrates a minimum number of three lines, A, Band C, to denote the area of plane 716. Conversely, note that plane 715 includes not only three lines, lines E, F and G, but also a fourth line, line H since it is rectilinear. This is consistent with the claiming of the present invention being open-ended in that at least three lines are required to define a roof plane, but it may be more. Likewise, a plane may be defined by 5, 6, 7 or more lines depending on its particular geometry.
As mentioned, it is not required, but is preferable that the lines defining the respective plane 715 and 716 are separate from each other, and even more preferable that they be in separate computer file layers overlaying one another. This helps facilitate having differing attributes along a common line as previously described in connection with the substantial overlap of lines A and E. Optionally, in the report the lines may be shown in different colors (and/or patterns) designated for each non-dimensional attribute.
Moreover, one or more additional adjustment planes, such as adjustment plane 717 prime, also depicted as free standing adjustment plane 717 may optionally be provided. This allows generating computer memory at least one adjustment roofing plane, such as by drawing lines E′, X, Y and Z (as well as others). This is useful for a variety of situations, such as, for example, to adjust for portions of the roof structure which are not fully visible from the aerial imagery. This is shown in
It should also be noted that optionally, this adjustment plane does not necessarily have to be graphically depicted, as shown in
Thus, for example, in
Additionally, such automatic and/or default generation of lines may optionally be coupled with the previously described pitch generation algorithms. In this way, default pitches may be generated by the computer and depicted in the report output. Again, this can be overridden by the user, including the vendor of such report information.
Note also that in
Another optional feature is that the information, including reporting, may be made to interface electronically (and/or manually) with other products. For example, the information provided here may be uploaded or transferred to Xactimate™ Insurance estimating software known in the prior art. Naturally, this feature, while helpful, is not required.
The present patent application claims priority to and is a continuation of the patent application identified by U.S. Ser. No. 14/018,943, filed Sep. 5, 2013, which is a continuation of the patent application identified by U.S. Ser. No. 13/774,478, filed Feb. 22, 2013, which is a continuation of the patent application identified by U.S. Ser. No. 12/470,984, filed May 22, 2009, all of which the entire contents of which are hereby incorporated herein by reference. The present patent application additionally claims priority to the patent application identified by U.S. Ser. No. 13/786,699, filed Mar. 6, 2013, which is a continuation of the patent application identified by U.S. Ser. No. 12/470,984, filed May 22, 2009, the entire contents of both of which are hereby incorporated herein by reference.
Number | Name | Date | Kind |
---|---|---|---|
2273876 | Lutz et al. | Feb 1942 | A |
3153784 | Petrides et al. | Oct 1964 | A |
3594556 | Edwards | Jul 1971 | A |
3614410 | Bailey | Oct 1971 | A |
3621326 | Hobrough | Nov 1971 | A |
3661061 | Tokarz | May 1972 | A |
3716669 | Watanabe et al. | Feb 1973 | A |
3725563 | Woycechowsky | Apr 1973 | A |
3864513 | Halajian et al. | Feb 1975 | A |
3866602 | Furihata | Feb 1975 | A |
3877799 | O'Donnell | Apr 1975 | A |
4015080 | Moore-Searson | Mar 1977 | A |
4044879 | Stahl | Aug 1977 | A |
4184711 | Wakimoto | Jan 1980 | A |
4240108 | Levy | Dec 1980 | A |
4281354 | Conte | Jul 1981 | A |
4344683 | Stemme | Aug 1982 | A |
4360876 | Girault et al. | Nov 1982 | A |
4382678 | Thompson et al. | May 1983 | A |
4387056 | Stowe | Jun 1983 | A |
4396942 | Gates | Aug 1983 | A |
4463380 | Hooks | Jul 1984 | A |
4489322 | Zulch et al. | Dec 1984 | A |
4490742 | Wurtzinger | Dec 1984 | A |
4491399 | Bell | Jan 1985 | A |
4495500 | Vickers | Jan 1985 | A |
4497551 | Lapeyre | Feb 1985 | A |
4527055 | Harkless et al. | Jul 1985 | A |
4543603 | Laures | Sep 1985 | A |
4586138 | Mullenhoff et al. | Apr 1986 | A |
4635136 | Ciampa et al. | Jan 1987 | A |
4653136 | Denison | Mar 1987 | A |
4653316 | Fukuhara | Mar 1987 | A |
4673988 | Jansson et al. | Jun 1987 | A |
4686474 | Olsen et al. | Aug 1987 | A |
4688092 | Kamel et al. | Aug 1987 | A |
4689748 | Hofmann | Aug 1987 | A |
4707698 | Constant et al. | Nov 1987 | A |
4758850 | Archdale et al. | Jul 1988 | A |
4805033 | Nishikawa | Feb 1989 | A |
4807024 | Mclaurin et al. | Feb 1989 | A |
4814711 | Olsen et al. | Mar 1989 | A |
4814896 | Heitzman et al. | Mar 1989 | A |
4843463 | Michetti | Jun 1989 | A |
4899296 | Khattak | Feb 1990 | A |
4906198 | Cosimano et al. | Mar 1990 | A |
4953227 | Katsuma et al. | Aug 1990 | A |
4956872 | Kimura | Sep 1990 | A |
5034812 | Rawlings | Jul 1991 | A |
5086314 | Aoki et al. | Feb 1992 | A |
5121222 | Endoh et al. | Jun 1992 | A |
5138444 | Hiramatsu | Aug 1992 | A |
5155597 | Lareau et al. | Oct 1992 | A |
5164825 | Kobayashi et al. | Nov 1992 | A |
5166789 | Myrick | Nov 1992 | A |
5191174 | Chang et al. | Mar 1993 | A |
5200793 | Ulich et al. | Apr 1993 | A |
5210586 | Grage et al. | May 1993 | A |
5231435 | Blakely | Jul 1993 | A |
5247356 | Ciampa | Sep 1993 | A |
5251037 | Busenberg | Oct 1993 | A |
5265173 | Griffin et al. | Nov 1993 | A |
5267042 | Tsuchiya et al. | Nov 1993 | A |
5270756 | Busenberg | Dec 1993 | A |
5296884 | Honda et al. | Mar 1994 | A |
5319541 | Blanchard et al. | Jun 1994 | A |
5335072 | Tanaka et al. | Aug 1994 | A |
5342999 | Frei et al. | Aug 1994 | A |
5345086 | Bertram | Sep 1994 | A |
5353055 | Hiramatsu | Oct 1994 | A |
5369443 | Woodham | Nov 1994 | A |
5402170 | Parulski et al. | Mar 1995 | A |
5414462 | Veatch | May 1995 | A |
5467271 | Abel et al. | Nov 1995 | A |
5481479 | Wight et al. | Jan 1996 | A |
5486948 | Imai et al. | Jan 1996 | A |
5506644 | Suzuki et al. | Apr 1996 | A |
5508736 | Cooper | Apr 1996 | A |
5555018 | von Braun | Sep 1996 | A |
5604534 | Hedges et al. | Feb 1997 | A |
5617224 | Ichikawa et al. | Apr 1997 | A |
5625827 | Krause et al. | Apr 1997 | A |
5633946 | Lachinski et al. | May 1997 | A |
5633995 | McClain | May 1997 | A |
5668593 | Lareau et al. | Sep 1997 | A |
5677515 | Selk et al. | Oct 1997 | A |
5699444 | Palm | Dec 1997 | A |
5798786 | Lareau et al. | Aug 1998 | A |
5835133 | Moreton et al. | Nov 1998 | A |
5841574 | Willey | Nov 1998 | A |
5844602 | Lareau et al. | Dec 1998 | A |
5852753 | Lo et al. | Dec 1998 | A |
5894323 | Kain et al. | Apr 1999 | A |
5899945 | Baylocq et al. | May 1999 | A |
5963664 | Kumar et al. | Oct 1999 | A |
5995765 | Kaneko et al. | Nov 1999 | A |
6037945 | Loveland | Mar 2000 | A |
6088055 | Lareau et al. | Jul 2000 | A |
6094215 | Sundahl et al. | Jul 2000 | A |
6097854 | Szeliski et al. | Aug 2000 | A |
6108032 | Hoagland | Aug 2000 | A |
6130705 | Lareau et al. | Oct 2000 | A |
6157747 | Szeliski et al. | Dec 2000 | A |
6167300 | Cherepenin et al. | Dec 2000 | A |
6222583 | Matsumura et al. | Apr 2001 | B1 |
6236886 | Cherepenin et al. | May 2001 | B1 |
6256057 | Mathews et al. | Jul 2001 | B1 |
6323885 | Wiese | Nov 2001 | B1 |
6373522 | Mathews et al. | Apr 2002 | B2 |
6385541 | Blumberg et al. | May 2002 | B1 |
6396491 | Watanabe et al. | May 2002 | B2 |
6421610 | Carroll et al. | Jul 2002 | B1 |
6434280 | Peleg et al. | Aug 2002 | B1 |
6446053 | Elliott | Sep 2002 | B1 |
6496184 | Freeman et al. | Dec 2002 | B1 |
6597818 | Kumar et al. | Jul 2003 | B2 |
6636803 | Hartz, Jr. et al. | Oct 2003 | B1 |
6639596 | Shum et al. | Oct 2003 | B1 |
6711475 | Murphy | Mar 2004 | B2 |
6731329 | Feist et al. | May 2004 | B1 |
6747686 | Bennett | Jun 2004 | B1 |
6766282 | Schettine | Jul 2004 | B1 |
6798925 | Wagman | Sep 2004 | B1 |
6810383 | Loveland | Oct 2004 | B1 |
6816819 | Loveland | Nov 2004 | B1 |
6826539 | Loveland | Nov 2004 | B2 |
6829584 | Loveland | Dec 2004 | B2 |
6834128 | Altunbasak et al. | Dec 2004 | B1 |
6836270 | Du | Dec 2004 | B2 |
6859768 | Wakelam et al. | Feb 2005 | B1 |
6876763 | Sorek et al. | Apr 2005 | B2 |
6980690 | Taylor et al. | Dec 2005 | B1 |
7003400 | Bryant | Feb 2006 | B2 |
7006977 | Attra et al. | Feb 2006 | B1 |
7009638 | Gruber et al. | Mar 2006 | B2 |
7018050 | Ulichney et al. | Mar 2006 | B2 |
7046401 | Dufaux et al. | May 2006 | B2 |
7046839 | Richer et al. | May 2006 | B1 |
7061650 | Walmsley et al. | Jun 2006 | B2 |
7065260 | Zhang et al. | Jun 2006 | B2 |
7085400 | Holsing et al. | Aug 2006 | B1 |
7123382 | Walmsley et al. | Oct 2006 | B2 |
7127348 | Smitherman et al. | Oct 2006 | B2 |
7133551 | Chen | Nov 2006 | B2 |
7133570 | Schreier et al. | Nov 2006 | B1 |
7142984 | Rahmes et al. | Nov 2006 | B2 |
7164883 | Rappaport et al. | Jan 2007 | B2 |
7184072 | Loewen et al. | Feb 2007 | B1 |
7233691 | Setterholm | Jun 2007 | B2 |
7239761 | Weilenmann | Jul 2007 | B2 |
7262790 | Bakewell | Aug 2007 | B2 |
7305983 | Meder et al. | Dec 2007 | B1 |
7324666 | Zoken et al. | Jan 2008 | B2 |
7343268 | Kishikawa | Mar 2008 | B2 |
7348895 | Lagassey | Mar 2008 | B2 |
7509241 | Guo | Mar 2009 | B2 |
7728833 | Verma | Jun 2010 | B2 |
7832267 | Woro | Nov 2010 | B2 |
7844499 | Yahiro | Nov 2010 | B2 |
7920963 | Jouline et al. | Apr 2011 | B2 |
8078396 | Meadow | Dec 2011 | B2 |
8705843 | Lieckfeldt | Apr 2014 | B2 |
20020041328 | LeCompte et al. | Apr 2002 | A1 |
20020041717 | Murata et al. | Apr 2002 | A1 |
20020114536 | Xiong et al. | Aug 2002 | A1 |
20020154174 | Redlich et al. | Oct 2002 | A1 |
20030014224 | Guo et al. | Jan 2003 | A1 |
20030043824 | Remboski et al. | Mar 2003 | A1 |
20030088362 | Melero et al. | May 2003 | A1 |
20030164962 | Nims et al. | Sep 2003 | A1 |
20030214585 | Bakewell | Nov 2003 | A1 |
20040105090 | Schultz et al. | Jun 2004 | A1 |
20040167709 | Smitherman et al. | Aug 2004 | A1 |
20050033716 | Ambroz et al. | Feb 2005 | A1 |
20050038636 | Wakelam et al. | Feb 2005 | A1 |
20050073241 | Yamauchi et al. | Apr 2005 | A1 |
20050088251 | Matsumoto | Apr 2005 | A1 |
20050169521 | Hel-Or | Aug 2005 | A1 |
20050288959 | Eraker et al. | Dec 2005 | A1 |
20060028550 | Palmer et al. | Feb 2006 | A1 |
20060092043 | Lagassey | May 2006 | A1 |
20060200311 | Arutunian et al. | Sep 2006 | A1 |
20060238383 | Kimchi et al. | Oct 2006 | A1 |
20060250515 | Koseki et al. | Nov 2006 | A1 |
20060282235 | Thomas et al. | Dec 2006 | A1 |
20070024612 | Balfour | Feb 2007 | A1 |
20070046448 | Smitherman | Mar 2007 | A1 |
20070106523 | Eaton et al. | May 2007 | A1 |
20070220174 | Abhyanker | Sep 2007 | A1 |
20070237420 | Steedly et al. | Oct 2007 | A1 |
20080105045 | Woro | May 2008 | A1 |
20080120031 | Rosenfeld et al. | May 2008 | A1 |
20080123994 | Schultz et al. | May 2008 | A1 |
20080158256 | Russell et al. | Jul 2008 | A1 |
20080221843 | Shenkar et al. | Sep 2008 | A1 |
20080262789 | Pershing et al. | Oct 2008 | A1 |
20090132436 | Pershing et al. | May 2009 | A1 |
20090141020 | Freund et al. | Jun 2009 | A1 |
20090177458 | Hochart et al. | Jul 2009 | A1 |
20090208095 | Zebedin | Aug 2009 | A1 |
20090304227 | Kennedy et al. | Dec 2009 | A1 |
20100110074 | Pershing | May 2010 | A1 |
20100114537 | Pershing | May 2010 | A1 |
20100179787 | Pershing et al. | Jul 2010 | A2 |
20100296693 | Thornberry et al. | Nov 2010 | A1 |
20110033110 | Shimamura et al. | Feb 2011 | A1 |
20130246204 | Thornberry et al. | Sep 2013 | A1 |
20140025343 | Gregg et al. | Jan 2014 | A1 |
Number | Date | Country |
---|---|---|
331204 | Jul 2006 | AT |
2008230031 | Nov 2009 | AU |
2010219392 | Sep 2010 | AU |
0316110 | Sep 2005 | BR |
2402234 | Sep 2000 | CA |
2505566 | May 2004 | CA |
1735897 | Feb 2006 | CN |
60017384 | Mar 2006 | DE |
60306301 | Nov 2006 | DE |
1418402 | Oct 2006 | DK |
1010966 | Feb 1999 | EP |
1180967 | Feb 2002 | EP |
1418402 | May 2004 | EP |
1696204 | Aug 2006 | EP |
2266704 | Mar 2007 | ES |
2003317089 | Nov 2003 | JP |
PA05004987 | Feb 2006 | MX |
WO9918732 | Apr 1999 | WO |
WO20000029806 | May 2000 | WO |
WO2000053090 | Sep 2000 | WO |
WO2004044692 | May 2004 | WO |
WO2005088251 | Sep 2005 | WO |
WO2008028040 | Mar 2008 | WO |
Entry |
---|
Eagle View Technologies, Inc., and Pictometry International Corp., Response in Opposition to Motion to Dismiss Complaint for infringement of U.S. Pat. No. 8,542,880 under 35 U.S.C. 101 (Eagle View Technologies, Inc., and Pictometry International Corp. v. Xactware Solutions, Inc., and Verisk Analytics, Inc.) in the United States District Court District of New Jersey, case No. njd-1-15-cv-07025-RBK-JS, filing date Mar. 22, 2016. |
Xactware Solutions, Inc., Petition for inter partes review of U.S. Pat. No. 8,542,880, IPR2016-00594, Mail Date Feb. 8, 2016. |
Pictometry International Corp., Electronic Field Study User Guide Version 2.7 (as filed as Exhibit-1004 in IPR2016-00594), Jul. 2007. |
Hsieh, Yuan, Design and Evaluation of a Semi-Automated Site Modeling System (as filed as Exhibit-1005 in IPR2016-00594), Nov. 1995. |
Schuch, Harold, Declaration in support of Petition for inter partes review of U.S. Pat. No. 8,542,880, IPR2016-00594 (as filed as Exhibit-1006 in IPR2016-00594), Mail Date Feb. 8, 2016. |
Eagle View Technologies, Inc., and Pictometry International Corp; Complaint for infringement of U.S. Pat. No. 8,542,880 in litigation (Eagle View Technologies, Inc., and Pictometry International Corp. v. Xactware Solutions, Inc., and Verisk Analytics, Inc.) in the United States District Court District of New Jersey, case No. njd-1-15-cv-07025-RBK-JS, filing date Sep. 23, 2015. |
Xactware Solutions, Inc., and Verisk Analytics, Inc., Answer to Complaint for infringement of U.S. Pat. No. 8,542,880 in litigation (Eagle View Technologies, Inc., and Pictometry International Corp. v. Xactware Solutions, Inc., and Verisk Analytics, Inc.) in the United States District Court District of New Jersey, case No. njd-1-15-cv-07025-RBK-JS, filing date Nov. 12, 2015. |
Eagle View Technologies, Inc., and Pictometry International Corp; Amended Complaint for infringement of U.S. Pat. No. 8,542,880 in litigation (Eagle View Technologies, Inc., and Pictometry International Corp. v. Xactware Solutions, Inc., and Verisk Analytics, Inc.) in the United States District Court District of New Jersey, case No. njd-1-15-cv-07025-RBK-JS, filing date Nov. 30, 2015. |
Xactware Solutions, Inc., and Verisk Analytics, Inc., Amended Answer, Affirmative Defenses, Counterclaims to Amended Complaint for infringement of U.S. Pat. No. 8,542,880 in litigation (Eagle View Technologies, Inc., and Pictometry International Corp. v. Xactware Solutions, Inc., and Verisk Analytics, Inc.) in the United States District Court District of New Jersey, case No. njd-1-15-cv-07025-RBK-JS, filing date Dec. 14, 2015. |
Xactware Solutions, Inc., and Verisk Analytics, Inc., Motion to Dismiss Complaint for infringement of U.S. Pat. No. 8,542,880 under 35 U.S.C. 101 and supporting Memorandum in litigation (Eagle View Technologies, Inc., and Pictometry International Corp. v. Xactware Solutions, Inc., and Verisk Analytics, Inc.) in the United States District Court District of New Jersey, case No. njd-1-15-cv-07025-RBK-JS, filing date Feb. 9, 2016. |
Xactware Solutions, Inc., and Verisk Analytics, Inc., Invalidity Contentions regarding U.S. Pat. No. 8,542,880 in litigation (Eagle View Technologies, Inc., and Pictometry International Corp. v. Xactware Solutions, Inc., and Verisk Analytics, Inc.) in the United States District Court District of New Jersey, case No. njd-1-15-cv-07025-RBK-JS, filing date Feb. 9, 2016. |
Eagle View Technologies, Inc., and Pictometry International Corp., Response with Claim Charts to Invalidity Contentions regarding U.S. Pat. No. 8,542,880 in litigation (Eagle View Technologies, Inc., and Pictometry International Corp. v. Xactware Solutions, Inc., and Verisk Analytics, Inc.) in the United States District Court District of New Jersey, case No. njd-1-15-cv-07025-RBK-JS, dated Mar. 10, 2016. |
Pictometry International Corp., Patent Owner's Preliminary Response to petition for inter partes review of U.S. Pat. No. 8,542,880, IPR2016-00594, filed Jun. 2, 2016. |
Patent Trial and Appeal Board, Decision to institute inter partes review of claims 1-10 and 13-20 of U.S. Pat. No. 8,542,880, IPR2016-00594, Paper 13, Mail Date Aug. 31, 2016. |
Pictometry International Corp., Patent Owner Response filed in IPR2016-00594, Nov. 16, 2016. |
Bajaj, Declaration of Dr. Chandrajit Bajaj, as filed as Exhibit-2006 in IPR2016-00594 on Nov. 16, 2016. |
Deposition of Mr. Harold Schuch of Nov. 2, 2016, as filed as Exhibit-2005 in IPR2016-00594 on Nov. 16, 2016. |
Carr et al., Cohasset Town Report, 2008, as filed as Exhibit-2010 in IPR2016-00594 on Nov. 16, 2016. |
Anonymous, LARIAC1 Pictometry Training webpage printout, dated 2009, as filed as Exhibit-2011 in IPR2016-00594 on Nov. 16, 2016. |
Los Angeles County et al., LAR-IAC2 Product Guide, dated Feb. 2009, as filed as Exhibit-2012 in IPR2016-00594 on Nov. 16, 2016. |
Anonymous; Los Angeles County Extends its License Agreement with Pictometry for New Oblique Aerial Photos; dated Mar. 7, 2006; as filed as Exhibit-2013 in IPR2016-00594 on Nov. 16, 2016. |
Horan; Pictometry Administrative Training; as filed as Exhibit-2014 in IPR2016-00594 on Nov. 16, 2016. |
Unknown; Screenshot of File Info sheet entitled “Information about TXWILMAdministrative Training”; as filed as Exhibit-2015 in IPR2016-00594 on Nov. 16, 2016. |
Unknown; Description of Pictometry Training; as filed as Exhibit-2016 in IPR2016-00594 on Nov. 16, 2016. |
Apgar; Gis Working Group Meeting Minutes 2007; as filed as Exhibit-2019 in IPR2016-00594 on Nov. 16, 2016. |
Asimonye; Geospatial Information Systems Council—Pictometry: Oblique Imagery training, dated Apr. 2009; as filed as Exhibit-2020 in IPR2016-00594 on Nov. 16, 2016. |
Unknown; Pictometry License Guidelines; dated Jan. 26, 2005; as filed as Exhibit-2021 in IPR2016-00594 on Nov. 16, 2016. |
Unknown; Pictometry presentation dated Apr. 19, 2007; as filed as Exhibit-2022 in IPR2016-00594 on Nov. 16, 2016. |
Lanctot; Welcome to Your End User Training; as filed as Exhibit-2023 in IPR2016-00594 on Nov. 16, 2016. |
Pictometry International Corp.; Electronic Field Study Getting Started Guide; dated Jul. 2007; as filed as Exhibit-2024 in IPR2016-00594 on Nov. 16, 2016. |
Gisuser; Pictometry Announces Technical Advancements for GIS Professionals; dated Dec. 5, 2006; Spatial Media; as filed as Exhibit-2025 in IPR2016-00594 on Nov. 16, 2016. |
Unknown; Pictometry Announces Technical Advancements for GIS Professionals; dated Dec. 7, 2006; Directions Media; as filed as Exhibit-2026 in IPR2016-00594 on Nov. 16, 2016. |
Bitter et al.; Macmillan Encyclopedia of Computers; Macmillan Publishing Company; 1992; vol. 1; pp. 230-231; as filed as Exhibit-2027 in IPR2016-00594 on Nov. 16, 2016. |
Pictometry International Corp. et al.; Metropolitan Area Planning Council License Agreement; 2009; as filed as Exhibit-2009 in IPR2016-00594 on Nov. 16, 2016. |
Ackermann, Prospects of Kinematic GPS Aerial Triangulation, ITC Journal, 1992. |
Ciampa, John A., “Pictometry Digital Video Mapping”, SPIE, vol. 2598, pp. 140-148, 1995. |
Ciampa, J. A., Oversee, Presented at Reconstruction After Urban earthquakes, Buffalo, NY, 1989. |
Dunford et al., Remote Sensing for Rural Development Planning in Africa, The Journal for the International Institute for Aerial Survey and Earth Sciences, 2:99-108, 1983. |
Gagnon, P.A., Agnard, J. P., Nolette, C., & Boulianne, M., “A Micro-Computer based General Photogrammetric System”, Photogrammetric Engineering and Remote Sensing, vol. 56, No. 5., pp. 623-625, 1990. |
Konecny, G., “Issues of Digital Mapping”, Leibniz University Hannover, Germany, GIS Ostrava 2008, Ostrava Jan. 27-30, 2008, pp. 1-8. |
Konecny, G., “Analytical Aerial Triangulation with Convergent Photography”, Department of Surveying Engineering, University of New Brunswick, pp. 37-57, 1966. |
Konecny, G., “Interior Orientation and Convergent Photography”, Photogrammetric Engineering, pp. 625-634, 1965. |
Graham, Lee A., “Airborne Video for Near-Real-Time Vegetation Mapping”, Journal of Forestry, 8:28-32, 1993. |
Graham, Horita TRG-50 SMPTE Time-Code Reader, Generator, Window Inserter, 1990. |
Hess, L.L, et al., “Geocoded Digital Videography for Validation of Land Cover Mapping in the Amazon Basin”, International Journal of Remote Sensing, vol. 23, No. 7, pp. 1527-1555, 2002. |
Hinthorne, J., et al., “Image Processing in the Grass GIS”, Geoscience and Remote Sensing Symposium, 4:2227-2229, 1991. |
Imhof, Ralph K., “Mapping from Oblique Photographs”, Manual of Photogrammetry, Chapter 18, 1966. |
Jensen, John R., Introductory Digital Image Processing: A Remote Sensing Perspective, Prentice-Hall, 1986; 399 pages. |
Lapine, Lewis A., “Practical Photogrammetric Control by Kinematic GPS”, GPS World, 1(3):44-49, 1990. |
Lapine, Lewis A., Airborne Kinematic GPS Positioning for Photogrammetry—The Determination of the Camera Exposure Station, Silver Spring, MD, 11 pages, at least as early as 2000. |
Linden et al., Airborne Video Automated Processing, US Forest Service Internal report, Fort Collins, CO, 1993. |
Myhre, Dick, “Airborne Video System Users Guide”, USDA Forest Service, Forest Pest Management Applications Group, published by Management Assistance Corporation of America, 6 pages, 1992. |
Myhre et al., “An Airborne Video System Developed Within Forest Pest Management—Status and Activities”, 10 pages, 1992. |
Myhre et al., “Airborne Videography—A Potential Tool for Resource Managers”—Proceedings: Resource Technology 90, 2nd International Symposium on Advanced Technology in Natural Resource Management, 5 pages, 1990. |
Myhre et al., Aerial Photography for Forest Pest Management, Proceedings of Second Forest Service Remote Sensing Applications Conference, Slidell, Louisiana, 153-162, 1988. |
Myhre et al., “Airborne Video Technology”, Forest Pest Management/Methods Application Group, Fort Collins, CO, pp. 1-6, at least as early as Jul. 30, 2006. |
Norton-Griffiths et al., 1982. “Sample surveys from light aircraft combining visual observations and very large scale color photography”. University of Arizona Remote Sensing Newsletter 82-2:1-4. |
Norton-Griffiths et al., “Aerial Point Sampling for Land Use Surveys”, Journal of Biogeography, 15:149-156, 1988. |
Novak, Rectification of Digital Imagery, Photogrammetric Engineering and Remote Sensing, 339-344, 1992. |
Slaymaker, Dana M., “Point Sampling Surveys with GPS-logged Aerial Videography”, Gap Bulletin No. 5, University of Idaho, http://www.gap.uidaho.edu/Bulletins/5/PSSwGPS.html, 1996. |
Slaymaker, et al., “Madagascar Protected Areas Mapped with GPS-logged Aerial Video and 35mm Air Photos”, Earth Observation magazine, vol. 9, No. 1, http://www.eomonline.com/Common/Archives/2000jan/00jan_tableofcontents.html, pp. 1-4, 2000. |
Slaymaker, et al., “Cost-effective Determination of Biomass from Aerial Images”, Lecture Notes in Computer Science, 1737:67-76, http://portal.acm.org/citation.cfm?id=648004.743267&coll=GUIDE&dl=, 1999. |
Slaymaker, et al., “A System for Real-time Generation of Geo-referenced Terrain Models”, 4232A-08, SPIE Enabling Technologies for Law Enforcement Boston, MA, ftp://vis-ftp.cs.umass.edu/Papers/schultz/spie2000.pdf, 2000. |
Slaymaker, et al.,“Integrating Small Format Aerial Photography, Videography, and a Laser Profiler for Environmental Monitoring”, In ISPRS WG III/1 Workshop on Integrated Sensor Calibration and Orientation, Portland, Maine, 1999. |
Slaymaker, et al., “Calculating Forest Biomass With Small Format Aerial Photography, Videography and a Profiling Laser”, In Proceedings of the 17th Biennial Workshop on Color Photography and Videography in Resource Assessment, Reno, NV, 1999. |
Slaymaker et al., Mapping Deciduous Forests in Southern New England using Aerial Videography and Hyperclustered Multi-Temporal Landsat TM Imagery, Department of Forestry and Wildlife Management, University of Massachusetts, 1996. |
Star et al., “Geographic Information Systems an Introduction”, Prentice-Hall, 1990. |
Tomasi et al., “Shape and Motion from Image Streams: a Factorization Method”—Full Report on the Orthographic Case, pp. 9795-9802, 1992. |
Warren, Fire Mapping with the Fire Mousetrap, Aviation and Fire Management, Advanced Electronics System Development Group, USDA Forest Service, 1986. |
Welch, R., “Desktop Mapping with Personal Computers”, Photogrammetric Engineering and Remote Sensing, 1651-1662, 1989. |
Westervelt, James, “Introduction to GRASS 4”, pp. 1-25, 1991. |
“RGB Spectrum Videographics Report, vol. 4, No. 1, McDonnell Douglas Integrates RGB Spectrum Systems in Helicopter Simulators”, pp. 1-6, 1995. |
RGB “Computer Wall”, RGB Spectrum, 4 pages, 1995. |
“The First Scan Converter with Digital Video Output”, Introducing . . . The RGB/Videolink 1700D-1, RGB Spectrum, 2 pages, 1995. |
ERDAS Field Guide, Version 7.4, A Manual for a commercial image processing system, 1990. |
“Image Measurement and Aerial Photography”, Magazine for all branches of Photogrammetry and its fringe areas, Organ of the German Photogrammetry Association, Berlin-Wilmersdorf, No. 1, 1958. |
“Airvideo Analysis”, MicroImages, Inc., Lincoln, NE, 1 page, Dec. 1992. |
Zhu, Zhigang, Hanson, Allen R., “Mosaic-Based 3D Scene Representation and Rendering”, Image Processing, 2005, ICIP 2005, IEEE International Conference on 1(2005). |
Mostafa, et al., “Direct Positioning and Orientation Systems How do they Work? What is the Attainable Accuracy?”, Proceeding, American Society of Photogrammetry and Remote Sensing Annual Meeting, St. Louis, MO, Apr. 24-27, 2001. |
“POS AV” georeferenced by APPLANIX aided inertial technology, http://www.applanix.com/products/posav_index.php. |
Mostafa, et al., “Ground Accuracy from Directly Georeferenced Imagery”, Published in GIM International vol. 14 N. Dec. 12, 2000. |
Mostafa, et al., “Airborne Direct Georeferencing of Frame Imagery: An Error Budget”, The 3rd International Symposium on Mobile Mapping Technology, Cairo, Egypt, Jan. 3-5, 2001. |
Mostafa, M.R. and Hutton, J., “Airborne Kinematic Positioning and Attitude Determination Without Base Stations”, Proceedings, International Symposium on Kinematic Systems in Geodesy, Geomatics, and Navigation (KIS 2001) Banff, Alberta, Canada, Jun. 4-8, 2001. |
Mostafa, et al., “Airborne DGPS Without Dedicated Base Stations for Mapping Applications”, Proceedings of ION-GPS 2001, Salt Lake City, Utah, USA, Sep. 11-14. |
Mostafa, “ISAT Direct Exterior Orientation QA/QC Strategy Using POS Data”, Proceedings of OEEPE Workshop: Integrated Sensor Orientation, Hanover, Germany, Sep. 17-18, 2001. |
Mostafa, “Camera/IMU Boresight Calibration: New Advances and Performance Analysis”, Proceedings of the ASPRS Annual Meeting, Washington, D.C., Apr. 21-26, 2002. |
Hiatt, “Sensor Integration Aids Mapping at Ground Zero”, Photogrammetric Engineering and Remote Sensing, Sep. 2002, p. 877-878. |
Mostafa, “Precision Aircraft GPS Positioning Using CORS”, Photogrammetric Engineering and Remote Sensing, Nov. 2002, p. 1125-1126. |
Mostafa, et al., System Performance Analysis of INS/DGPS Integrated System for Mobile Mapping System (MMS), Department of Geomatics Engineering, University of Calgary, Commission VI, WG VI/4, Mar. 2004. |
Artes F., & Hutton, J., “GPS and Inertial Navigation Delivering”, Sep. 2005, GEOconnexion International Magazine, p. 52-53, Sep. 2005. |
“POS AV” APPLANIX, Product Outline, airborne@applanix.com, 3 pages, Mar. 28, 2007. |
POSTrack, “Factsheet”, APPLANIX, Ontario, Canada, www.applanix.com, Mar. 2007. |
POS AV “Digital Frame Camera Applications”, 3001 Inc., Brochure, 2007. |
POS AV “Digital Scanner Applications”, Earthdata Brochure, Mar. 2007. |
POS AV “Film Camera Applications” AeroMap Brochure, Mar. 2007. |
POS AV “LIDAR Applications” MD Atlantic Brochure, Mar. 2007. |
POS AV “OEM System Specifications”, 2005. |
POS AV “Synthetic Aperture Radar Applications”, Overview, Orbisat Brochure, Mar. 2007. |
“POSTrack V5 Specifications” 2005. |
“Remote Sensing for Resource Inventory Planning and Monitoring”, Proceeding of the Second Forest Service Remote Sensing Applications Conference—Slidell, Louisiana and NSTL, Mississippi, Apr. 11-15, 1988. |
“Protecting Natural Resources with Remote Sensing”, Proceeding of the Third Forest Service Remote Sensing Applications Conference—Apr. 9-13, 1990. |
Heipke, et al, “Test Goals and Test Set Up for the OEEPE Test—Integrated Sensor Orientation”, 1999. |
Kumar, et al., “Registration of Video to Georeferenced Imagery”, Sarnoff Corporation, CN5300, Princeton, NJ, 1998. |
McConnel, Proceedings Aerial Pest Detection and Monitoring Workshop—1994.pdf, USDA Forest Service Forest Pest Management, Northern Region, Intermountain region, Forest Insects and Diseases, Pacific Northwest Region. |
“Standards for Digital Orthophotos”, National Mapping Program Technical Instructions, US Department of the Interior, Dec. 1996. |
Tao, “Mobile Mapping Technology for Road Network Data Acquisition”, Journal of Geospatial Engineering, vol. 2, No. 2, pp. 1-13, 2000. |
“Mobile Mapping Systems Lesson 4”, Lesson 4 SURE 382 Geographic Information Systems II, pp. 1-29, Jul. 2, 2006. |
Konecny, G., “Mechanische Radialtriangulation mit Konvergentaufnahmen”, Bildmessung and Luftbildwesen, 1958, Nr. 1. |
Myhre, “ASPRS/ACSM/RT 92” Technical papers, Washington, D.C., vol. 5 Resource Technology 92, Aug. 3-8, 1992. |
Rattigan, “Towns get new view from above,” The Boston Globe, Sep. 5, 2002. |
Mostafa, et al., “Digital image georeferencing from a multiple camera system by GPS/INS,” ISP RS Journal of Photogrammetry & Remote Sensing, 56(1): I-12, Jun. 2001. |
Dillow, “Grin, or bare it, for aerial shot,” Orange County Register (California), Feb. 25, 2001. |
Anonymous, “Live automatic coordinates for aerial images,” Advanced Imaging, 12(6):51, Jun. 1997. |
Anonymous, “Pictometry and US Geological Survey announce—Cooperative Research and Development Agreement,” Press Release published Oct. 20, 1999. |
Miller, “Digital software gives small Arlington the Big Picture,” Government Computer NewsState & Local, 7(12), Dec. 2001. |
Garrett, “Pictometry: Aerial photography on steroids,” Law Enforcement Technology 29(7):114-116, Jul. 2002. |
Weaver, “County gets an eyeful,” The Post-Standard (Syracuse, NY), May 18, 2002. |
Reed, “Firm gets latitude to map O.C. in 3D,” Orange County Register (California), Sep. 27, 2000. |
Reyes, “Orange County freezes ambitious aerial photography project,” Los Angeles Times, Oct. 16, 2000. |
Aerowest Pricelist of Geodata as of Oct. 21, 2005 and translations to English 3 pages. |
www.archive.org Web site showing archive of German AeroDach Web Site http://www.aerodach.de from Jun. 13, 2004 (retrieved Sep. 20, 2012) and translations to English 4 pages. |
AeroDach® Online Roof Evaluation Standard Delivery Format and 3D Data File: Document Version 01.00.2002 with publication in 2002, 13 pages. |
Noronha et al., “Detection and Modeling of Building from Multiple Aerial Images,” Institute for Robotics and Intelligent Systems, University of Southern California, Nov. 27, 2001, 32 pages. |
Applicad Reports dated Nov. 25, 1999-Mar. 9, 2005, 50 pages. |
Applicad Online Product Bulletin archive from Jan. 7, 2003, 4 pages. |
Applicad Sorcerer Guide, Version 3, Sep. 8, 1999, 142 pages. |
Xactimate Claims Estimating Software archive from Feb. 12, 2010, 8 pages. |
Bignone et al, Automatic Extraction of Generic House Roofs from High Resolution Aerial Imagery, Communication Technology Laboratory, Swiss Federal Institute of Technology ETH, CH-8092 Zurich, Switzerland, 12 pages, 1996. |
Geospan 2007 Job proposal. |
Greening et al., Commercial Applications of GPS-Assisted Photogrammetry, Presented at GIS/LIS Annual Conference and Exposition, Phoenix, AZ, Oct. 1994. |
Applanix Corp, Robust, Precise Position and Orientation Solutions, POS/AV & POS/DG Installation & Operation Manual, Redefining the way you survey, May 19, 1999, Ontario, Canada. |
Applanix Corp, Robust, Precise Position and Orientation Solutions, POS/AV V4 Ethernet & Disk Logging ICD, Redefining the way you survey, Revision 3, Apr. 18, 2001, Ontario, Canada. |
USPTO, Office Action regarding U.S. Appl. No. 13/915,285, dated Apr. 9, 2015. |
Applicant, Response to Office Action regarding U.S. Appl. No. 13/915,285, dated Oct. 9, 2015. |
USPTO, Office Action regarding U.S. Appl. No. 13/915,285, dated Dec. 16, 2015. |
Olof Henricsson, The Role of Color Attributes and Similarity Grouping in 3-D Building Reconstruction, Institute of Photogrammetry and Geodesy, Zurich, Switzerland. |
CC-Modeler: a topology generator for 3-D city models, abstract, May 15, 1998. |
Armin Gruen and Hinhua Wang; CC-Modeler: A Topology Generator for 3-D City Models, Inst. of Geodesy and Photogrammetry, Zurich, Switzerland. |
Microsoft's MSN Virtual Earth: The Map is the Search Platform; Feb. 6, 2009. |
Eagle View Technologies; Eagle View Measurements Premium Report; Oct. 22, 2008. |
“Automatic House Reconstruction”, http://www.vision.ee.ethz.ch/projects/Amobe_I/recons.html, accessed Mar. 15, 2010. |
“PhotoModeler—Measure and Model Real-World Objects From Photographs”, http://www.photomodeler.com/products/photomodeler.htm, accessed on Mar. 15, 2010. |
Baillard C. et al., “Automatic Reconstruction of Piecewise Planar Models From Multiple Views”, Dept. of Engineering Science, University of Oxford. |
Chevrier C., et al., “Interactive 3D Reconstruction for Urban Areas: An Image Based Tool”, CAAD Futures 2001.pp. 1-13. |
Debevec, Paul E. et al., “Modeling and Rendering Architecture From Photographs: A Hybrid Geometry-and-Image Based Approach”, University of California at Berkeley, 1996. |
“Pictometry Announces Software and Web-based Solution for Engineers, Architects, and Planners”, Press Release dated Jan. 22, 2004, Rochester, NY. |
Automated Systems Research, http://www.asrsoft.com/about.html, accessed May 22, 2009. |
Claim Rep Measure Roof, http://www.claimrep.com/roofSize.htm, accessed on May 22, 2009. |
GeoSpan Aerial Imagery, http://www.geospan.com/products-services.asp, accessed on May 22, 2009. |
Gulch, E., Muller, H., Labe, T., Ragia, L., “On the Performance of Semi-Automatic Building Extraction”, University Bonn, Germany, 1998. |
How to Calculate Roof Pitches in 3D From 2D Drawings, Dec. 17, 2007, http://connected.typepad.com/connected/2007/12/how-to-calculat.html, accessed on May 22, 2009. |
http://eagleviewmeasurements.com, “Eagle View Roof Measurement” accessed May 22, 2009. |
http://estimagic.com/roofing/about-roofing-estimating.html, “About Estimagic Roof Estimator”, accessed Aug. 22, 2008. |
Miller, Mark R., Miller's Guide to Framing and Roofing, McGraw-Hill Companies, Inc., New York, 2005, pp. 131-136, 162-163. |
Pictometry Online Demo, www.youtube.com/watch?v=JURSK7oOODO, accessed on Feb. 6, 2009. |
Precigeo, http://www.precigeo.com/, accessed on May 22, 2009. |
Roof Area Calculator, http://www.construction-resource.com/calculators/roof-area.php, accessed on May 22, 2009. |
Roof Master Roof Estimating Software, http://www.vectortec.com/roofmaster_roofing_estimating_software.htm, accessed on May 22, 2009. |
Rooflogic Drawings and Takeoffs From Satellite Images, http://www.rooflogic.com/Products/Satellite/, accessed on May 22, 2009. |
SkyTek_Imaging, http://www.skytekimaging.com/ourservices.html, accessed on May 22, 2009. |
Snyder, J., Barr, A., “Ray Tracing Complex Models Containing Surface Tessellations”, California Institute of Technology, Pasadena, CA Jul. 1987, pp. 119-128. |
Somay Roof Calculator, http://www.somay.com/roof_coatings/roof_calculate/roof_calculate.html, accessed on May 22, 2009. |
Vincenty, T., “Direct and Inverse Solutions of Geodesics on the Ellipsoid With Application of Nested Equations”, Warren AFB, Wyoming, Apr. 1975, pp. 88-93. |
Ways to Determine or Calculate Roof Pitch or Roof Slope Using a Carpenters Level, http://roofgenius.com/roofpitch.htm, accessed May 22, 2009. |
Delaney, Kevin J., “Searching for Clients From Above”, The Wall Street Journal, Jul. 31, 2007. |
Faugeras et al., “3-D Reconstruction of Urban Scenes From Image Sequences”, In RIA, 2004, France, Sep. 11, 1997. |
Henricsson, O. et al., “3-D Building Reconstruction with ARUBA: A Qualitative and Quantitative Evaluation,” Institute of Geodesy and Photogrammetry, Switzerland, 1997, 12 pages. |
http://www.precigeo.com/, Solar Professionals, Insurance Adjusters, Roofing and Landscape Estimators: Use Precigeo to Get Rapid, Accurate and Visually Compelling Sketches and Measurements, accessed on Mar. 15, 2010. |
Poullis et al., “Photogrammetric Modeling and Image-Based Rendering for Rapid Virtual Environment Creation”, University of Southern California, Institute for Creative Technologies. |
Scholze, Stephan, “A Probabilistic Approach to Building Roof Reconstruction”, A Dissertation Submitted to the Swiss Federal Institute of Technology Zurich, 2002. |
Ziegler et al., 3D Reconstruction Using Labeled Image Regions, Eurographics Symposium on Geometry Processing, 2003. |
Patent Trial and Appeal Board, Final Written Decision in inter partes review of claims 1-10 and 13-20 of U.S. Pat. No. 8,542,880, IPR2016-00594, Paper 46, Aug. 24, 2017. |
Xactware Solutions, Inc., Petitioner's Reply to Patent Owner Response in inter partes review of claims 1-10 and 13-20 of U.S. Pat. No. 8,542,880, IPR2016-00594, Paper 33, Jan. 27, 2017. |
USPTO, Office Action regarding U.S. Appl. No. 13/915,285, dated Apr. 10, 2017. |
Number | Date | Country | |
---|---|---|---|
20170018095 A1 | Jan 2017 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 14018943 | Sep 2013 | US |
Child | 15005977 | US | |
Parent | 13774478 | Feb 2013 | US |
Child | 14018943 | US | |
Parent | 12470984 | May 2009 | US |
Child | 13774478 | US | |
Parent | 13786699 | Mar 2013 | US |
Child | 15005977 | US | |
Parent | 12470984 | May 2009 | US |
Child | 13786699 | US |