Ex. 1005 - Declaration of Ulrich Neumann, Ph.D.
`
`
`
`UNITED STATES PATENT AND TRADEMARK OFFICE
`____________________________________________
`
`BEFORE THE PATENT TRIAL AND APPEAL BOARD
`____________________________________________
`
`
`META PLATFORMS, INC.
`Petitioner
`
`v.
`
`THALES VISIONIX, INC.
`Patent Owner
`
`IPR2022-01304, -01305
`
`
`DECLARATION OF DR. ULRICH NEUMANN UNDER C.F.R. §1.68
`IN SUPPORT OF PETITIONS FOR INTER PARTES REVIEW OF U.S.
`PATENT NO. 6,922,632
`
`
`
`
`
`
`META 1005
`META V. THALES
`
`

`

`Ex. 1005 - Declaration of Ulrich Neumann, Ph.D.
`
`TABLE OF CONTENTS
`
`Page
`INTRODUCTION ......................................................................................... 1
`I.
`II. QUALIFICATIONS ...................................................................................... 2
`A.
`Education Background and Career History ........................................... 2
`B.
`Publications and Patents ........................................................................ 3
`C.
`Other Relevant Qualifications ............................................................... 4
`D.
`Prior Testimony ..................................................................................... 5
`III. UNDERSTANDING OF PATENT LAW ................................................... 5
`IV. BACKGROUND OF TECHNOLOGY AND PATENTS .......................... 9
`A.
`Technology Background ....................................................................... 9
`1.
`Head-mounted Display in Virtual and Augmented
`Reality Systems ........................................................................... 9
`Sensors for Tracking an Object in VR and AR ........................ 10
`Calibrating Sensors to Improve Tracking Accuracy ................ 11
`Using Kalman Filters to Estimate the Position and
`Location of a Tracked Object ................................................... 13
`The ’632 Patent ................................................................................... 15
`B.
`LEVEL OF ORDINARY SKILL IN THE ART ...................................... 17
`V.
`VI. CLAIM CONSTRUCTION ........................................................................ 17
`VII. PRIOR ART REFERENCES ..................................................................... 17
`A. Welch Prior Art ................................................................................... 18
`B.
`Horton .................................................................................................. 20
`C.
`Harris ................................................................................................... 22
`
`2.
`3.
`4.
`
`
`
`i
`
`META 1005
`META V. THALES
`
`

`

`Ex. 1005 - Declaration of Ulrich Neumann, Ph.D.
`
`
`4.
`
`5.
`
`D. Kramer ................................................................................................. 23
`E.
`Chen ..................................................................................................... 25
`VIII. SPECIFIC GROUNDS FOR PETITION NO. 1: ’632 PATENT
`CLAIMS 1-29 AND 66-69 ........................................................................... 26
`A. Ground I: Claims 1-9, 11-22, and 24-29 Are Rendered Obvious
`by Welch 2001 and Welch 1997 ......................................................... 26
`1. Motivation to Combine ............................................................. 26
`2.
`Claim 1 ...................................................................................... 27
`3.
`Claim 2: “The method of claim 1 wherein coupling the
`sensor subsystem to the estimation subsystem includes
`coupling software modules each associated with one or
`more of the sensing elements.” ................................................. 32
`Claim 3: “The method of claim 2 wherein each of the
`software modules provides a software interface for
`receiving information related to an expected sensor
`measurement and providing measurement information
`that depends on said received information.” ............................. 33
`Claim 4: “The method of claim 3 wherein each of the
`software modules implements calculations that are
`independent of a representation of the state in the
`estimation subsystem.” ............................................................. 34
`Claim 5: “The method of claim 1 wherein the state
`estimate characterizes an estimate of a location of the
`object.” ...................................................................................... 34
`Claim 6: “The method of claim 1 wherein the state
`estimate characterizes configuration information for one
`or more sensing elements fixed to the object.” ......................... 34
`Claim 7: “The method of claim 6 wherein the
`configuration information for the one or more sensing
`elements fixed to the object includes information related
`to position or orientation of said sensing elements
`relative to the object.” ............................................................... 35
`
`6.
`
`7.
`
`8.
`
`
`
`ii
`
`META 1005
`META V. THALES
`
`

`

`Ex. 1005 - Declaration of Ulrich Neumann, Ph.D.
`
`
`9.
`
`Claim 8: “The method of claim 6 wherein the
`configuration information for the one or more sensing
`elements fixed to the object includes operational
`parameters for the one or more sensing elements.” .................. 36
`10. Claim 9: “The method of claim 1 wherein the state
`estimate characterizes configuration information for one
`or more sensing elements fixed in an environment of the
`object.” ...................................................................................... 37
`11. Claim 11 .................................................................................... 38
`12. Claim 12: “The method of claim 11 wherein providing
`the information related to an expected sensor
`measurement includes providing information related to a
`relative geometric configuration of two of the sensing
`elements.” .................................................................................. 39
`13. Claim 13: “The method of claim 12 wherein providing
`information related to a relative geometric configuration
`of the two of the sensing elements includes providing
`information characterizing a relative location of said
`sensing elements” ...................................................................... 40
`14. Claim 14: “The method of claim 11 wherein accepting
`the information related to an actual sensor measurement
`includes accepting information enabling the estimation
`subsystem to calculate a difference between the actual
`measurement and the expected measurement.” ........................ 41
`15. Claim 15: “The method of claim 11 wherein accepting
`the information related to an actual sensor measurement
`includes accepting information for correlating
`measurements and geometric relationships between
`sensing elements.” ..................................................................... 41
`16. Claim 16: “The method of claim 15 wherein the
`information for correlating measurements and geometric
`relationships between sensing elements includes a
`mapping between a relative pose of the sensing elements
`and a sensor measurement.” ...................................................... 42
`
`
`
`iii
`
`META 1005
`META V. THALES
`
`

`

`Ex. 1005 - Declaration of Ulrich Neumann, Ph.D.
`
`
`17. Claim 17: “The method of claim 16 wherein the mapping
`between the relative pose of the sensing elements and the
`sensor measurement characterizes a linear mapping.” ............. 43
`18. Claim 18: “The method of claim 11 wherein accepting
`the information related to an actual sensor measurement
`includes accepting information characterizing an
`uncertainty in the actual measurement.” ................................... 43
`19. Claim 19: “The method of claim 18 wherein the
`information characterizing the uncertainty in the actual
`measurement includes parameters of a statistical
`distribution of an error of the actual measurement.” ................ 44
`20. Claim 20 .................................................................................... 45
`21. Claim 21: “The method of claim 20 wherein selecting the
`pair of sensing elements includes selecting said elements
`according to an expected utility of a measurement
`associated with said elements to the updating of the
`state.” ......................................................................................... 46
`22. Claim 22: “The method of claim 11 wherein repeatedly
`updating the state further includes: updating the state
`according to the accepted information related to an actual
`sensor measurement.” ............................................................... 46
`23. Claim 24: “The method of claim 1 wherein updating the
`state estimate includes applying a Kalman Filter
`approach.” ................................................................................. 47
`24. Claim 25: “The method of claim 1 wherein each of said
`sensing elements comprises at least one of a sensor and a
`target.” ....................................................................................... 48
`25. Claim 26: “The method of claim 25 wherein the target
`comprises an active device that interacts with the sensor.” ...... 48
`26. Claim 27: “The method of claim 26 wherein the target
`comprises at least one of a man-made signal reflector and
`a natural feature of an environment.” ....................................... 49
`
`
`
`iv
`
`META 1005
`META V. THALES
`
`

`

`Ex. 1005 - Declaration of Ulrich Neumann, Ph.D.
`
`
`B.
`
`C.
`
`27. Claim 28: “The method of claim 1 wherein the object is
`selected from a group consisting of a vehicle, a robot, a
`person, a part of a person, a flying object, a floating
`object, an underwater moving object, an animal, a
`camera, a sensing apparatus, a helmet, a tool, a piece of
`sports equipment, a shoe, a boot, an article of clothing, a
`personal protective equipment, a rigid object having a
`dimension between 1 nanometer to 109 meters.” ..................... 50
`28. Claim 29: “The method of claim 1 wherein the state
`estimate comprises information related to a position or an
`orientation of the object relative to a reference coordinate
`frame.” ....................................................................................... 50
`Ground 2: Claim 23 Is Rendered Obvious by Welch 2001,
`Welch 1997, and Welch Thesis ........................................................... 51
`1.
`Claim 23: “The method of claim 20 wherein repeatedly
`updating the state further includes: updating the state
`according to accepted measurements from inertial
`sensors.” .................................................................................... 51
`Ground III: Claims 1-9, 11-24, and 28-29 Are Rendered
`Obvious by Horton .............................................................................. 52
`1.
`Claim 1 ...................................................................................... 52
`2.
`Claim 2: “The method of claim 1 wherein coupling the
`sensor subsystem to the estimation subsystem includes
`coupling software modules each associated with one or
`more of the sensing elements.” ................................................. 56
`Claim 3: “The method of claim 2 wherein each of the
`software modules provides a software interface for
`receiving information related to an expected sensor
`measurement and providing measurement information
`that depends on said received information.” ............................. 58
`Claim 4: “The method of claim 3 wherein each of the
`software modules implements calculations that are
`independent of a representation of the state in the
`estimation subsystem.” ............................................................. 59
`
`4.
`
`3.
`
`
`
`v
`
`META 1005
`META V. THALES
`
`

`

`Ex. 1005 - Declaration of Ulrich Neumann, Ph.D.
`
`
`5.
`
`6.
`
`7.
`
`Claim 5: “The method of claim 1 wherein the state
`estimate characterizes an estimate of a location of the
`object.” ...................................................................................... 60
`Claim 6: “The method of claim 1 wherein the state
`estimate characterizes configuration information for one
`or more sensing elements fixed to the object.” ......................... 60
`Claim 7: “The method of claim 6 wherein the
`configuration information for the one or more sensing
`elements fixed to the object includes information related
`to position or orientation of said sensing elements
`relative to the object.” ............................................................... 61
`Claim 8: “The method of claim 6 wherein the
`configuration information for the one or more sensing
`elements fixed to the object includes operational
`parameters for the one or more sensing elements.” .................. 61
`Claim 9: “The method of claim 1 wherein the state
`estimate characterizes configuration information for one
`or more sensing elements fixed in an environment of the
`object.” ...................................................................................... 62
`10. Claim 11 .................................................................................... 63
`11. Claim 12: “The method of claim 11 wherein providing
`the information related to an expected sensor
`measurement includes providing information related to a
`relative geometric configuration of two of the sensing
`elements.” .................................................................................. 64
`12. Claim 13: “The method of claim 12 wherein providing
`information related to a relative geometric configuration
`of the two of the sensing elements includes providing
`information characterizing a relative location of said
`sensing elements” ...................................................................... 65
`13. Claim 14: “The method of claim 11 wherein accepting
`the information related to an actual sensor measurement
`includes accepting information enabling the estimation
`
`8.
`
`9.
`
`
`
`vi
`
`META 1005
`META V. THALES
`
`

`

`Ex. 1005 - Declaration of Ulrich Neumann, Ph.D.
`
`
`subsystem to calculate a difference between the actual
`measurement and the expected measurement.” ........................ 65
`14. Claim 15: “The method of claim 11 wherein accepting
`the information related to an actual sensor measurement
`includes accepting information for correlating
`measurements and geometric relationships between
`sensing elements.” ..................................................................... 66
`15. Claim 16: “The method of claim 15 wherein the
`information for correlating measurements and geometric
`relationships between sensing elements includes a
`mapping between a relative pose of the sensing elements
`and a sensor measurement.” ...................................................... 67
`16. Claim 17: “The method of claim 16 wherein the mapping
`between the relative pose of the sensing elements and the
`sensor measurement characterizes a linear mapping.” ............. 67
`17. Claim 18: “The method of claim 11 wherein accepting
`the information related to an actual sensor measurement
`includes accepting information characterizing an
`uncertainty in the actual measurement.” ................................... 68
`18. Claim 19: “The method of claim 18 wherein the
`information characterizing the uncertainty in the actual
`measurement includes parameters of a statistical
`distribution of an error of the actual measurement.” ................ 70
`19. Claim 20 .................................................................................... 71
`20. Claim 21: “The method of claim 20 wherein selecting the
`pair of sensing elements includes selecting said elements
`according to an expected utility of a measurement
`associated with said elements to the updating of the
`state.” ......................................................................................... 72
`21. Claim 22: “The method of claim 11 wherein repeatedly
`updating the state further includes: updating the state
`according to the accepted information related to an actual
`sensor measurement.” ............................................................... 73
`
`
`
`vii
`
`META 1005
`META V. THALES
`
`

`

`Ex. 1005 - Declaration of Ulrich Neumann, Ph.D.
`
`
`22. Claim 23: “The method of claim 20 wherein repeatedly
`updating the state further includes: updating the state
`according to accepted measurements from inertial
`sensors.” .................................................................................... 74
`23. Claim 24: “The method of claim 1 wherein updating the
`state estimate includes applying a Kalman Filter
`approach.” ................................................................................. 74
`24. Claim 28: “The method of claim 1 wherein the object is
`selected from a group consisting of a vehicle, a robot, a
`person, a part of a person, a flying object, a floating
`object, an underwater moving object, an animal, a
`camera, a sensing apparatus, a helmet, a tool, a piece of
`sports equipment, a shoe, a boot, an article of clothing, a
`personal protective equipment, a rigid object having a
`dimension between 1 nanometer to 109 meters.” ..................... 75
`25. Claim 29: “The method of claim 1 wherein the state
`estimate comprises information related to a position or an
`orientation of the object relative to a reference coordinate
`frame.” ....................................................................................... 75
`D. Ground IV: Claims 25-27 Are Rendered Obvious by Horton in
`View of Welch 1997............................................................................ 76
`1. Motivation to Combine ............................................................. 76
`2.
`Claim 25: “The method of claim 1 wherein each of said
`sensing elements comprises at least one of a sensor and a
`target.” ....................................................................................... 77
`Claim 26: “The method of claim 25 wherein the target
`comprises an active device that interacts with the sensor.” ...... 78
`Claim 27: “The method of claim 26 wherein the target
`comprises at least one of a man-made signal reflector and
`a natural feature of an environment.” ....................................... 78
`Ground V: Claims 66-68 Are Rendered Obvious by Kramer and
`Chen ..................................................................................................... 79
`
`3.
`
`4.
`
`E.
`
`
`
`viii
`
`META 1005
`META V. THALES
`
`

`

`Ex. 1005 - Declaration of Ulrich Neumann, Ph.D.
`
`
`F.
`
`1. Motivation to Combine ............................................................. 79
`2.
`Claim 66 .................................................................................... 82
`3.
`Claim 67: “The method of claim 66 further comprising
`configuring the data processing module to selectively
`perform one of” ......................................................................... 87
`Claim 68 .................................................................................... 91
`4.
`Ground VI: Claim 69 Is Rendered Obvious by Kramer, Chen,
`and Welch 2001 ................................................................................... 93
`1. Motivation to Combine ............................................................. 93
`2.
`Claim 69 .................................................................................... 94
`IX. SPECIFIC GROUNDS FOR PETITION NO. 2: ’632 PATENT
`CLAIMS 30-61 ............................................................................................. 95
`A. Ground I: Claims 30-36, 44-45, 47-49, 51-53, and 59-61 Are
`Rendered Obvious by Welch 2001 and Welch 1997 .......................... 95
`1.
`Claim 30 .................................................................................... 95
`2.
`Claim 31: “The sensor module of claim 30 wherein the
`sensor module is configured to provide information over
`the communication interface related to an uncertainty in
`the measurement information.” ................................................. 99
`Claim 32: “The sensor module of claim 30 wherein the
`received information related to an expected sensor
`measurement includes a predicted pose of a sensing
`element relative to the measurement sensor.” ........................100
`Claim 33: .................................................................................100
`Claim 34: “The method of claim 33, further comprising
`selecting a pair of sensing elements from the sequence of
`candidates, the selected pair of sensing elements being
`ready to make a measurement at the time of selection of
`the pair or at a predefined time after the time of selection
`of the pair, the selected pair having highest expected
`
`3.
`
`4.
`5.
`
`
`
`ix
`
`META 1005
`META V. THALES
`
`

`

`Ex. 1005 - Declaration of Ulrich Neumann, Ph.D.
`
`
`6.
`
`7.
`
`8.
`9.
`
`utility of a measurement among the sequence of
`candidates.” .............................................................................103
`Claim 35: “The method of claim 33 wherein the set of
`sensing elements comprises at least one sensor and at
`least one target, the sensor making a measurement with
`respect to the target.” ..............................................................104
`Claim 36: “The method of claim 35 wherein the target
`comprises a natural feature in an environment.” ....................105
`Claim 44 ..................................................................................106
`Claim 45: “The method of claim 44, further comprising
`assigning the calibration parameter as a target calibration
`parameter when the sensing element is a target, and
`generating an innovation of a measurement of the sensing
`element made by a sensor based in part on the target
`calibration parameter.” ............................................................109
`10. Claim 47 ..................................................................................110
`11. Claim 48: “The method of claim 47 wherein the data
`passed from the estimation module to one or more of the
`sensor modules includes an estimate of the pose of a
`target relative to a sensor that was calculated by the
`estimation module using an estimate of the pose of a
`tracked object relative to a frame of reference fixed to an
`environment.” ..........................................................................116
`12. Claim 49: “The method of claim 48 wherein the data
`passed from the estimation module to one or more of the
`sensor modules does not include the estimate of the pose
`of the tracked object relative to the frame of reference
`fixed to the environment.” ......................................................117
`13. Claim 51: “The method of claim 47 wherein maintaining
`estimates of the tracking parameters in the estimation
`module includes using a stochastic model in the
`estimation module.” ................................................................118
`
`
`
`x
`
`META 1005
`META V. THALES
`
`

`

`Ex. 1005 - Declaration of Ulrich Neumann, Ph.D.
`
`
`14. Claim 52: “The method of claim 51 wherein using a
`stochastic model includes implementing some or all of a
`Kalman filter in the estimation module.” ................................118
`15. Claim 53: “The method of claim 52 wherein
`implementing some or all of the Kalman filter includes
`updating error estimates using linearized models of the
`sensor system.” ........................................................................119
`16. Claim 59: “The method of claim 47 wherein providing
`configuration information from the sensor modules
`includes providing information characterizing a type of a
`sensor associated with a sensor module.” ...............................119
`17. Claim 60: “The method of claim 47 wherein providing
`configuration information from the sensor modules
`includes providing information characterizing a position
`or an orientation of a sensor associated with a sensor
`module.” ..................................................................................120
`18. Claim 61: “The method of claim 47 wherein providing
`configuration information from the sensor modules
`includes providing information characterizing one or
`more calibration parameters of a sensor associated with a
`sensor module.” .......................................................................121
`Ground II: Claim 50 Is Rendered Obvious by Welch 2001,
`Welch 1997, and Welch Thesis .........................................................121
`1.
`Claim 50: “The method of claim 47 wherein providing
`the estimation module includes providing a module that
`is configurable to use different sets of sensor modules
`coupled to it.” ..........................................................................121
`Ground III: Claims 54-55 and 57-58 Are Rendered Obvious by
`Welch 2001 and Welch 1997 in view of Harris ................................122
`1. Motivation to Combine ...........................................................122
`2.
`Claim 54: “The method of claim 52 wherein
`implementing some or all of the Kalman filter includes
`implementing a distributed Kalman filter, wherein each
`
`B.
`
`C.
`
`
`
`xi
`
`META 1005
`META V. THALES
`
`

`

`Ex. 1005 - Declaration of Ulrich Neumann, Ph.D.
`
`
`3.
`
`4.
`
`5.
`
`of a plurality of components of the distributed Kalman
`filter is associated with a different subset of the sensor
`modules.” ................................................................................124
`Claim 55: “The method of claim 54 wherein one of the
`components of the distributed Kalman filter is associated
`with a subset of sensor modules consisting of sensor
`modules that are affixed to a tracked object.” ........................125
`Claim 57: “The method of claim 54 wherein one of the
`components of the distributed Kalman filter is not
`associated with any sensor modules.” .....................................125
`Claim 58: “The method of claim 54 wherein
`implementing the distributed Kalman filter includes
`implementing a Federated Kalman Filter.”.............................128
`D. Ground IV: Claims 30-33, 47, 50-53, and 59-61 Are Rendered
`Obvious by Horton ............................................................................129
`1.
`Claim 30 ..................................................................................129
`2.
`Claim 31: “The sensor module of claim 30 wherein the
`sensor module is configured to provide information over
`the communication interface related to an uncertainty in
`the measurement information.” ...............................................135
`Claim 32: “The sensor module of claim 30 wherein the
`received information related to an expected sensor
`measurement includes a predicted pose of a sensing
`element relative to the measurement sensor.” ........................138
`Claim 33: .................................................................................139
`Claim 47 ..................................................................................141
`Claim 50: “The method of claim 47 wherein providing
`the estimation module includes providing a module that
`is configurable to use different sets of sensor modules
`coupled to it.” ..........................................................................147
`Claim 51: “The method of claim 47 wherein maintaining
`estimates of the tracking parameters in the estimation
`
`3.
`
`4.
`5.
`6.
`
`7.
`
`
`
`xii
`
`META 1005
`META V. THALES
`
`

`

`Ex. 1005 - Declaration of Ulrich Neumann, Ph.D.
`
`
`9.
`
`8.
`
`module includes using a stochastic model in the
`estimation module.” ................................................................148
`Claim 52: “The method of claim 51 wherein using a
`stochastic model includes implementing some or all of a
`Kalman filter in the estimation module.” ................................148
`Claim 53: “The method of claim 52 wherein
`implementing some or all of the Kalman filter includes
`updating error estimates using linearized models of the
`sensor system.” ........................................................................149
`10. Claim 59: “The method of claim 47 wherein providing
`configuration information from the sensor modules
`includes providing information characterizing a type of a
`sensor associated with a sensor module.” ...............................149
`11. Claim 60: “The method of claim 47 wherein providing
`configuration information from the sensor modules
`includes providing information characterizing a position
`or an orientation of a sensor associated with a sensor
`module.” ..................................................................................150
`12. Claim 61: “The method of claim 47 wherein providing
`configuration information from the sensor modules
`includes providing information characterizing one or
`more calibration parameters of a sensor associated with a
`sensor module.” .......................................................................150
`Ground V: Claims 34-36 Are Rendered Obvious by Horton in
`View of Welch 1997..........................................................................151
`1. Motivation to Combine ...........................................................151
`1.
`Claim 34: “The method of claim 33, further comprising
`selecting a pair of sensing elements from the sequence of
`candidates, the selected pair of sensing elements being
`ready to make a measurement at the time of selection of
`the pair or at a predefined time after the time of selection
`of the pair, the selected pair having highest expected
`utility of a measurement among the sequence of
`candidates.” .............................................................................152
`
`E.
`
`
`
`xiii
`
`META 1005
`META V. THALES
`
`

`

`Ex. 1005 - Declaration of Ulrich Neumann, Ph.D.
`
`
`2.
`
`3.
`
`F.
`
`Claim 35: “The method of claim 33 wherein the set of
`sensing elements comprises at least one sensor and at
`least one target, the sensor making a measurement with
`respect to the target.” ..............................................................153
`Claim 36: “The method of claim 35 wherein the target
`comprises a natural feature in an environment.” ....................154
`Ground VI: Claims 54-55 and 57-58 Are Rendered Obvious by
`Horton in view of Harris ...................................................................155
`1. Motivation to Combine ...........................................................155
`2.
`Claim 54: “The method of claim 52 wherein
`implementing some or all of the Kalman filter includes
`implementing a distributed Kalman filter, wherein each
`of a plurality of components of the distributed Kalman
`filter is associated with a different subset of the sensor
`modules.” ................................................................................156
`Claim 55: “The method of claim 54 wherein one of the
`components of the distributed Kalman filter is associated
`with a subset of sensor modules consisting of sensor
`modules that are affixed to a tracked object.” ........................157
`Claim 57: “The method of claim 54 wherein one of the
`components of the distributed Kalman filter is not
`associated with any sensor modules.” .....................................158
`Claim 58: “The method of claim 54 wherein
`implementing the distributed Kalman filter includes
`implementing a Federated Kalman Filter.”.............................160
`SECONDARY CONSIDERATIONS ......................................................160
`X.
`XI. CONCLUSION ..........................................................................................161
`
`
`
`3.
`
`4.
`
`5.
`
`
`
`
`
`xiv
`
`META 1005
`META V. THALES
`
`

`

`Ex. 1005 - Declaration of Ulrich Neumann, Ph.D.
`
`EXHIBIT LIST
`
`Exhibit
`No.
`1001
`
`1002
`
`1003
`
`1004
`
`1006
`
`Description
`
`U.S. Patent No. 6,922,632
`
`File History of U.S. Patent No. 6,922,632
`
`U.S. Patent No. 7,725,253
`
`File History of U.S. Patent No. 7,725,253
`
`Curriculum Vitae of Dr. Ulrich Neumann
`
`1007 Welch, G. et al., “High-Performance Wide-Area Optical Tracking”
`(2001)
`
`1008 Welch, G. et al., “SCAAT: Incremental Tracking with Incomplete
`Information” (1997)
`
`1009 Welch G. “SCAAT: Incremental Tracking with Incomplete
`Information” PhD Thesis, University of North Carolina (1996)
`
`U.S. Patent No. 5,615,132
`
`1010
`
`1011
`
`1012
`
`1013
`
`1014
`
`1015
`
`U.S. Patent No. 5,307,289
`
`Gentex’s Amended Preliminary Infringement Contentions and
`corresponding Exhibits 4 and 5 (’632 and ’253 infringement charts)
`
`Azuma, R. “Predictive Tracking for Augmented Reality” PhD
`Thesis, University of North Carolina (1995)
`
`You, S. and Neumann, U. “Orientation Tracking for Outdoor
`Augmented Reality Registration.” (1999)
`
`Carlson, Neal A. and Berarducci, Michael P. “