IP Library Granted Patent US 12,198,428
Granted Patent B2
US 12,198,428 · App. 18/137,723 · Granted Jan 14, 2025

Systems and methods for a 3D home model for representation of property

Inventors: Nicholas Carmelo Marotta (Scottsdale, AZ); Laura Kennedy (Gilbert, AZ); JD Johnson Willingham (Phoenix, AZ)
Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
G06V20/20B64C39/024G01S7/4808G01S7/51G01S17/89G02B27/0172G06F16/29G06F30/13G06N3/049G06N3/08G06N5/04G06N20/00G06Q10/087G06Q20/085G06Q20/12G06Q30/0633G06Q30/0639G06T7/75G06T7/90G06T17/00G06T17/05G06T19/003G06T19/006G06T19/20B64U2101/30G02B2027/0138G02B2027/014G02B2027/0178G06T2207/10028G06T2207/10044G06T2207/30184G06T2219/2012H04W84/18
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,198,428
App. No.
18/137,723
Granted
Jan 14, 2025
Kind
B2
Abstract

The following relates generally to light detection and ranging (LIDAR) and artificial intelligence (AI). In some embodiments, a system: receives LIDAR data generated from a LIDAR camera; measures plurality of dimensions of the home based upon processor analysis of the LIDAR data; builds a 3D model of the home based upon the measured plurality of dimensions; and displays a representation of the 3D model by visually navigating through the 3D model.

Claims (81)

1. A computer-implemented method for representation of a home, the method comprising, via one or more processors, sensors, servers, and/or transceivers:

receiving light detection and ranging (LIDAR) data generated from a LIDAR camera;

measuring a plurality of dimensions of the home based upon processor analysis of the LIDAR data;

building a 3D model of the home based upon the measured plurality of dimensions;

displaying a representation of the 3D model;

receiving, via wireless communication or data transmission over one or more radio frequency links, a user selection of an object displayed in the displayed representation of the 3D model; and

displaying a 2D image of the selected object including displaying, in the 2D image, numerical values of a height and a width of the object according to dimensions of the object measured from the LIDAR data.

2. The computer-implemented method of claim 1 , further comprising, via the one or more processors, transceivers, sensors, and/or servers, receiving navigation input via wireless communication or data transmission over one or more radio frequency links;

wherein visual navigation through the 3D model is based upon the received navigation input.

3. The computer-implemented method of claim 1 , further comprising, via the one or more processors, transceivers, sensors, and/or servers:

displaying an arrow on the displayed representation of the 3D model; and

receiving navigation input via wireless communication or data transmission over one or more radio frequency links, the navigation input comprising a user selection of the arrow;

wherein visual navigation through the 3D model is based upon the received navigation input.

4. The computer-implemented method of claim 1 , wherein:

the measured plurality of dimensions includes a measured width of a wall; and

the displaying the representation of the 3D model further comprises overlaying a numerical value of the width of the wall onto a visual representation of the wall in the displayed representation of the 3D model.

5. The computer-implemented method of claim 1 , wherein:

the displaying the representation of the 3D model further comprises overlaying the numerical values of the height and width of the object onto a visual representation of the object in the displayed representation of the 3D model.

6. The computer-implemented method of claim 1 , further comprising, via the one or more processors, transceivers, sensors, and/or servers:

receiving camera data including color data;

wherein the 3D model is built further based upon the color data.

7. The computer-implemented method of claim 1 , further comprising, via the one or more processors, transceivers, sensors, and/or servers, receiving camera data including color data;

wherein the building of the 3D model further comprises:

deriving dimensions of a wall based upon processor analysis of the LIDAR data;

deriving a color of the wall based upon processor analysis of the camera data; and

filling, into the 3D model, the wall including the derived dimensions of the wall and the derived color of the wall.

8. A computer system configured for 3D representation of a home, the computer system comprising one or more processors, sensors, servers, and/or transceivers configured to:

receive light detection and ranging (LIDAR) data generated from a LIDAR camera;

measure plurality of dimensions of the home based upon processor analysis of the LIDAR data;

build a 3D model of the home based upon the measured plurality of dimensions;

display a representation of the 3D model;

receive, via wireless communication or data transmission over one or more radio frequency links, a user selection of an object displayed in the displayed representation of the 3D model; and

display a 2D image of the selected object including displaying, in the 2D image, numerical values of a height and a width of the object according to dimensions of the object measured from the LIDAR data.

9. The computer system of claim 8 , further configured to, via the one or more processors, sensors, servers, and/or transceivers receive navigation input via wireless communication or data transmission over one or more radio frequency links;

wherein visual navigation through the 3D model is based upon the received navigation input.

10. The computer system of claim 8 , further configured to, via the one or more processors, sensors, servers, and/or transceivers:

display an arrow on the displayed representation of the 3D model;

receive navigation input via wireless communication or data transmission over one or more radio frequency links, the navigation input comprising a user selection of the arrow; and

base visual navigation through the 3D model upon the received navigation input.

11. The computer system of claim 8 , wherein:

the measured plurality of dimensions includes a measured width of a wall; and

the computer system is further configured to, via the one or more processors, sensors, servers, and/or transceivers, display the representation of the 3D model by overlaying a numerical value of the width of the wall onto a visual representation of the wall in the displayed representation of the 3D model.

12. The computer system of claim 8 , further configured to, via the one or more processors, sensors, servers, and/or transceivers:

receive camera data including color data; and

build the 3D model further based upon the color data.

13. The computer system of claim 8 , further configured to, via the one or more processors, sensors, servers, and/or transceivers:

receive camera data including color data; and

build the 3D model by:

deriving dimensions of a wall based upon processor analysis of the LIDAR data;

deriving a color of the wall based upon processor analysis of the camera data; and

filling, into the 3D model, the wall including the derived dimensions of the wall and the derived color of the wall.

14. A computer system configured for 3D representation of a home, comprising:

one or more processors; and

a non-transitory program memory coupled to the one or more processors and storing executable instructions that when executed by the one or more processors cause the computer system to:

receive light detection and ranging (LIDAR) data generated from a LIDAR camera;

measure plurality of dimensions of the home based upon processor analysis of the LIDAR data;

build a 3D model of the home based upon the measured plurality of dimensions;

display a representation of the 3D model;

receive, via wireless communication or data transmission over one or more radio frequency links, a user selection of an object displayed in the displayed representation of the 3D model; and

display a 2D image of the selected object including displaying, in the 2D image, numerical values of a height and a width of the object according to dimensions of the object measured from the LIDAR data.

15. The computer system of claim 14 , wherein:

the executable instructions further cause the computer system to receive navigation input via wireless communication or data transmission over one or more radio frequency links; and

visual navigation through the 3D model is based upon the received navigation input.

16. The computer system of claim 14 , wherein the executable instructions further cause the computer system to:

display an arrow on the displayed representation of the 3D model;

receive navigation input via wireless communication or data transmission over one or more radio frequency links, the navigation input comprising a user selection of the arrow; and

base visual navigation through the 3D model upon the received navigation input.

17. The computer system of claim 14 , wherein:

the measured plurality of dimensions includes a measured width of a wall; and

the executable instructions further cause the computer system to display the representation of the 3D model by overlaying a numerical value of the width of the wall onto a visual representation of the wall in the displayed representation of the 3D model.

18. The computer system of claim 14 , wherein:

the executable instructions further cause the computer system to display the representation of the 3D model by overlaying the numerical values of the height and width of the object onto a visual representation of the object in the displayed representation of the 3D model.

19. The computer system of claim 14 , wherein the executable instructions further cause the computer system to:

receive camera data including color data; and

build the 3D model further based upon the color data.

20. The computer system of claim 14 , wherein the executable instructions further cause the computer system to:

receive camera data including color data; and

build the 3D model by:

deriving dimensions of a wall based upon processor analysis of the LIDAR data;

deriving a color of the wall based upon processor analysis of the camera data; and

filling, into the 3D model, the wall including the derived dimensions of the wall and the derived color of the wall.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 5, 2023
From: MAROTTA, NICHOLAS CARMELO; KENNEDY, LAURA; WILLINGHAM, JD JOHNSON
To: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
Reel/Frame 063850/0296 →
Continuity (5)
Continuation 17240985 · Apr 26, 2021
Provisional Application 63027201 · May 19, 2020
Provisional Application 63025600 · May 15, 2020
Provisional Application 63016168 · Apr 27, 2020
Related Publication 20230252728A1 · Aug 10, 2023
References Cited (400)
US 7177836B1 · German et al. · 2007 [cited by applicant]
US 7389255B2 · Formisano · 2008 [cited by applicant]
US 7991576B2 · Roumeliotis · 2011 [cited by applicant]
US 8480496B2 · Tomita · 2013 [cited by examiner]
US 8490006B1 · Reeser et al. · 2013 [cited by applicant]
US 8527306B1 · Reeser et al. · 2013 [cited by applicant]
US 8533144B1 · Reeser et al. · 2013 [cited by applicant]
US 8640038B1 · Reeser et al. · 2014 [cited by applicant]
US 8665084B2 · Shapiro et al. · 2014 [cited by applicant]
US 8890680B2 · Reeser et al. · 2014 [cited by applicant]
US 8917186B1 · Grant · 2014 [cited by applicant]
US 8976937B2 · Shapiro et al. · 2015 [cited by applicant]
US 9049168B2 · Jacob et al. · 2015 [cited by applicant]
US 9057746B1 · Houlette et al. · 2015 [cited by applicant]
US 9064161B1 · Boman et al. · 2015 [cited by applicant]
US 9117349B2 · Shapiro et al. · 2015 [cited by applicant]
US 9142119B1 · Grant · 2015 [cited by applicant]
US 9152737B1 · Micali et al. · 2015 [cited by applicant]
US 9183578B1 · Reeser et al. · 2015 [cited by applicant]
US 9202363B1 · Grant · 2015 [cited by applicant]
US 9262909B1 · Grant · 2016 [cited by applicant]
US 9286772B2 · Shapiro et al. · 2016 [cited by applicant]
US 9344330B2 · Jacob et al. · 2016 [cited by applicant]
US 9424737B2 · Bailey et al. · 2016 [cited by applicant]
US 9443195B2 · Micali et al. · 2016 [cited by applicant]
US 9472092B1 · Grant · 2016 [cited by applicant]
US 9589441B2 · Shapiro et al. · 2017 [cited by applicant]
US 9609003B1 · Chmielewski et al. · 2017 [cited by applicant]
US 9665892B1 · Reeser et al. · 2017 [cited by applicant]
US 9666060B2 · Reeser et al. · 2017 [cited by applicant]
US 9699529B1 · Petri et al. · 2017 [cited by applicant]
US 9739813B2 · Houlette et al. · 2017 [cited by applicant]
US 9770382B1 · Ellis · 2017 [cited by applicant]
US 9786158B2 · Beaver et al. · 2017 [cited by applicant]
US 9798979B2 · Fadell et al. · 2017 [cited by applicant]
US 9798993B2 · Payne et al. · 2017 [cited by applicant]
US 9800570B1 · Bleisch · 2017 [cited by applicant]
US 9800958B1 · Petri et al. · 2017 [cited by applicant]
US 9811862B1 · Allen et al. · 2017 [cited by applicant]
US 9812001B1 · Grant · 2017 [cited by applicant]
US 9881226B1 · Rybakov et al. · 2018 [cited by applicant]
US 9888371B1 · Jacob · 2018 [cited by applicant]
US 9892463B1 · Hakimi-Boushehri et al. · 2018 [cited by applicant]
US 9898168B2 · Shapiro et al. · 2018 [cited by applicant]
US 9898912B1 · Jordan, II et al. · 2018 [cited by applicant]
US 9911042B1 · Cardona et al. · 2018 [cited by applicant]
US 9923971B2 · Madey et al. · 2018 [cited by applicant]
US 9942630B1 · Petri et al. · 2018 [cited by applicant]
US 9947202B1 · Moon et al. · 2018 [cited by applicant]
US 9978033B1 · Payne et al. · 2018 [cited by applicant]
US 9997056B2 · Bleisch · 2018 [cited by applicant]
US 10002295B1 · Cardona et al. · 2018 [cited by applicant]
US 10025887B1 · Santarone et al. · 2018 [cited by applicant]
US 10042341B1 · Jacob · 2018 [cited by applicant]
US 10047974B1 · Riblet et al. · 2018 [cited by applicant]
US 10055793B1 · Call et al. · 2018 [cited by applicant]
US 10055803B2 · Orduna et al. · 2018 [cited by applicant]
US 10057664B1 · Moon et al. · 2018 [cited by applicant]
US 10062205B2 · Eikhoff · 2018 [cited by applicant]
US 10073929B2 · Vaynriber et al. · 2018 [cited by applicant]
US 10102584B1 · Devereaux et al. · 2018 [cited by applicant]
US 10102585B1 · Bryant et al. · 2018 [cited by applicant]
US 10102586B1 · Marlow et al. · 2018 [cited by applicant]
US 10102589B1 · Tofte et al. · 2018 [cited by applicant]
US 10107708B1 · Schick et al. · 2018 [cited by applicant]
US 10137942B2 · Sanders et al. · 2018 [cited by applicant]
US 10137984B1 · Flick · 2018 [cited by applicant]
US 10142394B2 · Chmielewski et al. · 2018 [cited by applicant]
US 10169677B1 · Ren et al. · 2019 [cited by applicant]
US 10176514B1 · Chen et al. · 2019 [cited by applicant]
US 10176705B1 · Grant · 2019 [cited by applicant]
US 10181160B1 · Hakimi-Boushehri et al. · 2019 [cited by applicant]
US 10186134B1 · Moon et al. · 2019 [cited by applicant]
US 10198771B1 · Madigan et al. · 2019 [cited by applicant]
US 10210577B1 · Davis et al. · 2019 [cited by applicant]
US 10217068B1 · Davis et al. · 2019 [cited by applicant]
US 10229394B1 · Davis et al. · 2019 [cited by applicant]
US 10244294B1 · Moon et al. · 2019 [cited by applicant]
US 10249158B1 · Jordan, II et al. · 2019 [cited by applicant]
US 10275427B2 · Saptharishi et al. · 2019 [cited by applicant]
US 10282787B1 · Hakimi-Boushehri et al. · 2019 [cited by applicant]
US 10282788B1 · Jordan, II et al. · 2019 [cited by applicant]
US 10282961B1 · Jordan, II et al. · 2019 [cited by applicant]
US 10295431B1 · Schick et al. · 2019 [cited by applicant]
US 10296978B1 · Corder et al. · 2019 [cited by applicant]
US 10297138B2 · Reeser et al. · 2019 [cited by applicant]
US 10304313B1 · Moon et al. · 2019 [cited by applicant]
US 10311302B2 · Kottenstette et al. · 2019 [cited by applicant]
US 10323860B1 · Riblet et al. · 2019 [cited by applicant]
US 10325473B1 · Moon et al. · 2019 [cited by applicant]
US 10332059B2 · Matsuoka et al. · 2019 [cited by applicant]
US 10346811B1 · Jordan, II et al. · 2019 [cited by applicant]
US 10353359B1 · Jordan, II et al. · 2019 [cited by applicant]
US 10356303B1 · Jordan, II et al. · 2019 [cited by applicant]
US 10366288B1 · Kottenstette et al. · 2019 [cited by applicant]
US 10387966B1 · Shah et al. · 2019 [cited by applicant]
US 10388135B1 · Jordan, II et al. · 2019 [cited by applicant]
US 10409855B2 · Petrou et al. · 2019 [cited by applicant]
US 10412169B1 · Madey et al. · 2019 [cited by applicant]
US 10446000B2 · Friar et al. · 2019 [cited by applicant]
US 10467476B1 · Cardona et al. · 2019 [cited by applicant]
US 10469282B1 · Konrardy et al. · 2019 [cited by applicant]
US 10480825B1 · Riblet et al. · 2019 [cited by applicant]
US 10482746B1 · Moon et al. · 2019 [cited by applicant]
US 10506411B1 · Jacob · 2019 [cited by applicant]
US 10514669B1 · Call et al. · 2019 [cited by applicant]
US 10515372B1 · Jordan, II et al. · 2019 [cited by applicant]
US 10515419B1 · Walker et al. · 2019 [cited by applicant]
US 10521865B1 · Spader et al. · 2019 [cited by applicant]
US 10522009B1 · Jordan, II et al. · 2019 [cited by applicant]
US 10527423B1 · Pavlyuk et al. · 2020 [cited by applicant]
US 10528996B2 · Clark et al. · 2020 [cited by applicant]
US 10546478B1 · Moon et al. · 2020 [cited by applicant]
US 10547918B1 · Moon et al. · 2020 [cited by applicant]
US 10565541B2 · Payne et al. · 2020 [cited by applicant]
US 10565550B1 · Gowda · 2020 [cited by applicant]
US 10573146B1 · Jordan, II et al. · 2020 [cited by applicant]
US 10573149B1 · Jordan, II et al. · 2020 [cited by applicant]
US 10579028B1 · Jacob · 2020 [cited by applicant]
US 10586177B1 · Choueiter et al. · 2020 [cited by applicant]
US 10607295B1 · Hakimi-Boushehri et al. · 2020 [cited by applicant]
US 10630639B2 · Bilsten · 2020 [cited by applicant]
US 10634576B1 · Schick et al. · 2020 [cited by applicant]
US 10643072B2 · Kottenstette et al. · 2020 [cited by applicant]
US 10664922B1 · Madigan et al. · 2020 [cited by applicant]
US 10679292B1 · Call et al. · 2020 [cited by applicant]
US 10685402B1 · Bryant et al. · 2020 [cited by applicant]
US 10699346B1 · Corder et al. · 2020 [cited by applicant]
US 10699348B1 · Devereaux et al. · 2020 [cited by applicant]
US 10726494B1 · Shah et al. · 2020 [cited by applicant]
US 10726500B1 · Shah et al. · 2020 [cited by applicant]
US 10733671B1 · Hakimi-Boushehri et al. · 2020 [cited by applicant]
US 10733868B2 · Moon et al. · 2020 [cited by applicant]
US 10735829B2 · Petri et al. · 2020 [cited by applicant]
US 10740691B2 · Choueiter et al. · 2020 [cited by applicant]
US 10741033B1 · Jordan, II et al. · 2020 [cited by applicant]
US 10750252B2 · Petri et al. · 2020 [cited by applicant]
US 10795329B1 · Jordan, II et al. · 2020 [cited by applicant]
US 10796557B2 · Sundermeyer et al. · 2020 [cited by applicant]
US 10802477B1 · Konrardy et al. · 2020 [cited by applicant]
US 10804700B2 · Cohen et al. · 2020 [cited by applicant]
US 10816939B1 · Coleman · 2020 [cited by applicant]
US 10818105B1 · Konrardy et al. · 2020 [cited by applicant]
US 10823458B1 · Riblet et al. · 2020 [cited by applicant]
US 10824971B1 · Davis et al. · 2020 [cited by applicant]
US 10825320B1 · Moon et al. · 2020 [cited by applicant]
US 10825321B2 · Moon et al. · 2020 [cited by applicant]
US 10832225B1 · Davis et al. · 2020 [cited by applicant]
US 10832267B2 · Poole · 2020 [cited by applicant]
US 10846800B1 · Bryant et al. · 2020 [cited by applicant]
US 10907844B2 · Ribbich et al. · 2021 [cited by applicant]
US 10922756B1 · Call et al. · 2021 [cited by applicant]
US 10922948B1 · Moon et al. · 2021 [cited by applicant]
US 10943447B1 · Jordan, II et al. · 2021 [cited by applicant]
US 10970990B1 · Jacob · 2021 [cited by applicant]
US 10990069B1 · Jacob · 2021 [cited by applicant]
US 11003334B1 · Conway et al. · 2021 [cited by applicant]
US 11004320B1 · Jordan, II et al. · 2021 [cited by applicant]
US 11015997B1 · Schick et al. · 2021 [cited by applicant]
US 11017480B2 · Shah et al. · 2021 [cited by applicant]
US 11024079B1 · Chuah et al. · 2021 [cited by applicant]
US 11042137B1 · Call et al. · 2021 [cited by applicant]
US 11042942B1 · Hakimi-Boushehri et al. · 2021 [cited by applicant]
US 11043026B1 · Fathi et al. · 2021 [cited by applicant]
US 11043098B1 · Jordan, II et al. · 2021 [cited by applicant]
US 11046430B1 · Melton et al. · 2021 [cited by applicant]
US 11049078B1 · Jordan, II et al. · 2021 [cited by applicant]
US 11049189B2 · Shah et al. · 2021 [cited by applicant]
US 11069352B1 · Tang et al. · 2021 [cited by applicant]
US 11074659B1 · Hakimi-Boushehri et al. · 2021 [cited by applicant]
US 11100594B1 · West et al. · 2021 [cited by applicant]
US 11118812B1 · Riblet et al. · 2021 [cited by applicant]
US 11126708B2 · Reimer · 2021 [cited by applicant]
US 11151378B2 · Kottenstette et al. · 2021 [cited by applicant]
US 11164257B1 · Devereaux et al. · 2021 [cited by applicant]
US 11164391B1 · Sharma et al. · 2021 [cited by applicant]
US 11195324B1 · Dubost et al. · 2021 [cited by applicant]
US 11205213B2 · Turner et al. · 2021 [cited by applicant]
US 11210552B2 · Kossyk et al. · 2021 [cited by applicant]
US 11222426B2 · Richter et al. · 2022 [cited by applicant]
US 11232150B2 · Vianello et al. · 2022 [cited by applicant]
US 11232873B1 · Aspro et al. · 2022 [cited by applicant]
US 11250515B1 · Feiteira et al. · 2022 [cited by applicant]
US 11263583B1 · Kumar et al. · 2022 [cited by applicant]
US 11277465B2 · Chmielewski et al. · 2022 [cited by applicant]
US 11300662B1 · Milton · 2022 [cited by applicant]
US 11348193B1 · Konrardy et al. · 2022 [cited by applicant]
US 11354728B2 · Chachek et al. · 2022 [cited by applicant]
US 11367265B2 · Vianello et al. · 2022 [cited by applicant]
US 11417212B1 · Farooqui et al. · 2022 [cited by applicant]
US 11453129B2 · Paepcke et al. · 2022 [cited by applicant]
US 11568356B1 · Rochon et al. · 2023 [cited by applicant]
US 20010033284A1 · Chan · 2001 [cited by applicant]
US 20020060784A1 · Pack et al. · 2002 [cited by applicant]
US 20030023483A1 · Messner et al. · 2003 [cited by applicant]
US 20030212818A1 · Klein et al. · 2003 [cited by applicant]
US 20070150406A1 · Subramanian et al. · 2007 [cited by applicant]
US 20070269102A1 · Wang · 2007 [cited by applicant]
US 20090110267A1 · Zakhor et al. · 2009 [cited by applicant]
US 20090265193A1 · Collins et al. · 2009 [cited by applicant]
US 20090310867A1 · Matei et al. · 2009 [cited by applicant]
US 20090322742A1 · Muktinutalapati et al. · 2009 [cited by applicant]
US 20100131533A1 · Ortiz · 2010 [cited by applicant]
US 20100150431A1 · Chen et al. · 2010 [cited by applicant]
US 20110161117A1 · Busque et al. · 2011 [cited by applicant]
US 20110276417A1 · Campbell et al. · 2011 [cited by applicant]
US 20120022896A1 · Jayaram et al. · 2012 [cited by applicant]
US 20120176497A1 · Shadmi · 2012 [cited by applicant]
US 20120216129A1 · Ng et al. · 2012 [cited by applicant]
US 20120299961A1 · Ramkumar et al. · 2012 [cited by applicant]
US 20130083964A1 · Morris et al. · 2013 [cited by applicant]
US 20130141549A1 · Beers et al. · 2013 [cited by applicant]
US 20130144566A1 · De Biswas · 2013 [cited by applicant]
US 20130179841A1 · Mutton et al. · 2013 [cited by applicant]
US 20130215116A1 · Siddique et al. · 2013 [cited by applicant]
US 20130300740A1 · Snyder et al. · 2013 [cited by applicant]
US 20140032596A1 · Fish et al. · 2014 [cited by applicant]
US 20140081599A1 · Bradley · 2014 [cited by applicant]
US 20140107927A1 · Rojas · 2014 [cited by applicant]
US 20140125671A1 · Vorobyov et al. · 2014 [cited by applicant]
US 20140229301A1 · Wu · 2014 [cited by applicant]
US 20140266669A1 · Fadell et al. · 2014 [cited by applicant]
US 20140267717A1 · Pitzer et al. · 2014 [cited by applicant]
US 20140304011A1 · Yager et al. · 2014 [cited by applicant]
US 20140306993A1 · Poulos et al. · 2014 [cited by applicant]
US 20150061859A1 · Matsuoka et al. · 2015 [cited by applicant]
US 20150097688A1 · Bruck et al. · 2015 [cited by applicant]
US 20150172628A1 · Brown et al. · 2015 [cited by applicant]
US 20150227644A1 · Schultz · 2015 [cited by applicant]
US 20150227893A1 · Huynh et al. · 2015 [cited by applicant]
US 20150269438A1 · Samarasekera et al. · 2015 [cited by applicant]
US 20150286893A1 · Straub et al. · 2015 [cited by applicant]
US 20150302116A1 · Howell · 2015 [cited by applicant]
US 20150347910A1 · Fadell et al. · 2015 [cited by applicant]
US 20150379371A1 · Yoon et al. · 2015 [cited by applicant]
US 20160023761A1 · McNally · 2016 [cited by applicant]
US 20160148433A1 · Petrovskaya et al. · 2016 [cited by applicant]
US 20160196689A1 · Pullan · 2016 [cited by applicant]
US 20160224321A1 · Seshadri et al. · 2016 [cited by applicant]
US 20160260158A1 · High et al. · 2016 [cited by applicant]
US 20170031925A1 · Mishra et al. · 2017 [cited by applicant]
US 20170039307A1 · Koger et al. · 2017 [cited by applicant]
US 20170097413A1 · Gillian et al. · 2017 [cited by applicant]
US 20170116781A1 · Babahajiani et al. · 2017 [cited by applicant]
US 20170132567A1 · Glunz · 2017 [cited by applicant]
US 20170206426A1 · Schrier et al. · 2017 [cited by applicant]
US 20170220887A1 · Fathi et al. · 2017 [cited by applicant]
US 20170243064A1 · Simari et al. · 2017 [cited by applicant]
US 20170264890A1 · Gorilovsky et al. · 2017 [cited by applicant]
US 20170293894A1 · Taliwal et al. · 2017 [cited by applicant]
US 20170314803A1 · Jacobson et al. · 2017 [cited by applicant]
US 20170365008A1 · Schreier et al. · 2017 [cited by applicant]
US 20170365094A1 · Liu et al. · 2017 [cited by applicant]
US 20180075648A1 · Moghadam et al. · 2018 [cited by applicant]
US 20180096373A1 · Poole · 2018 [cited by applicant]
US 20180101813A1 · Paat et al. · 2018 [cited by applicant]
US 20180121576A1 · Mosher et al. · 2018 [cited by applicant]
US 20180129635A1 · Saptharishi et al. · 2018 [cited by applicant]
US 20180143756A1 · Mildrew · 2018 [cited by examiner]
US 20180144547A1 · Shakib et al. · 2018 [cited by applicant]
US 20180181789A1 · Metzler et al. · 2018 [cited by applicant]
US 20180211441A1 · Priest et al. · 2018 [cited by applicant]
US 20180225504A1 · Sargent et al. · 2018 [cited by applicant]
US 20180273030A1 · Weldon et al. · 2018 [cited by applicant]
US 20180350145A1 · Byl et al. · 2018 [cited by applicant]
US 20180358009A1 · Daley et al. · 2018 [cited by applicant]
US 20180364045A1 · Williams et al. · 2018 [cited by applicant]
US 20190012726A1 · D'Agostino et al. · 2019 [cited by applicant]
US 20190025858A1 · Bar-Nahum et al. · 2019 [cited by applicant]
US 20190026570A1 · Wei et al. · 2019 [cited by applicant]
US 20190026958A1 · Gausebeck et al. · 2019 [cited by applicant]
US 20190050732A1 · Anderson · 2019 [cited by applicant]
US 20190051054A1 · Jovanovic · 2019 [cited by examiner]
US 20190057169A1 · Santarone et al. · 2019 [cited by applicant]
US 20190096135A1 · Dal Mutto et al. · 2019 [cited by applicant]
US 20190097443A1 · Kwa et al. · 2019 [cited by applicant]
US 20190128771A1 · Santarone et al. · 2019 [cited by applicant]
US 20190155973A1 · Morczinek et al. · 2019 [cited by applicant]
US 20190188755A1 · Fuzell-Casey et al. · 2019 [cited by applicant]
US 20190188796A1 · Sauer et al. · 2019 [cited by applicant]
US 20190189007A1 · Herman et al. · 2019 [cited by applicant]
US 20190217477A1 · Paepcke et al. · 2019 [cited by applicant]
US 20190228115A1 · Bergin et al. · 2019 [cited by applicant]
US 20190234742A1 · Jachym et al. · 2019 [cited by applicant]
US 20190236531A1 · Adato · 2019 [cited by examiner]
US 20190251520A1 · Bentley, III et al. · 2019 [cited by applicant]
US 20190277703A1 · Valouch et al. · 2019 [cited by applicant]
US 20190295319A1 · Pham et al. · 2019 [cited by applicant]
US 20190303850A1 · Mangos et al. · 2019 [cited by applicant]
US 20190311319A1 · Cote et al. · 2019 [cited by applicant]
US 20190346271A1 · Zhang et al. · 2019 [cited by applicant]
US 20190362431A1 · Hertz et al. · 2019 [cited by applicant]
US 20190366558A1 · Gupta et al. · 2019 [cited by applicant]
US 20190377837A1 · Lewis et al. · 2019 [cited by applicant]
US 20190392087A1 · Suard et al. · 2019 [cited by applicant]
US 20200043077A1 · Turner et al. · 2020 [cited by applicant]
US 20200043368A1 · Brathwaite et al. · 2020 [cited by applicant]
US 20200051338A1 · Zia et al. · 2020 [cited by applicant]
US 20200079488A1 · Messori et al. · 2020 [cited by applicant]
US 20200082612A1 · Frederick et al. · 2020 [cited by applicant]
US 20200092473A1 · Shan et al. · 2020 [cited by applicant]
US 20200122321A1 · Khansari et al. · 2020 [cited by applicant]
US 20200124731A1 · Xiong et al. · 2020 [cited by applicant]
US 20200129862A1 · Liu et al. · 2020 [cited by applicant]
US 20200132470A1 · Xu et al. · 2020 [cited by applicant]
US 20200134734A1 · Aneesh · 2020 [cited by applicant]
US 20200151504A1 · Albrecht et al. · 2020 [cited by applicant]
US 20200160611A1 · Gertenbach et al. · 2020 [cited by applicant]
US 20200167631A1 · Rezgui · 2020 [cited by applicant]
US 20200182634A1 · Karceski · 2020 [cited by applicant]
US 20200184706A1 · Speasl et al. · 2020 [cited by applicant]
US 20200219264A1 · Brunner et al. · 2020 [cited by applicant]
US 20200274962A1 · Martin et al. · 2020 [cited by applicant]
US 20200285206A1 · Young et al. · 2020 [cited by applicant]
US 20200293796A1 · Sajjadi et al. · 2020 [cited by applicant]
US 20200294247A1 · Baumbach et al. · 2020 [cited by applicant]
US 20200301378A1 · McQueen · 2020 [cited by examiner]
US 20200301799A1 · Manivasagam et al. · 2020 [cited by applicant]
US 20200302510A1 · Chachek et al. · 2020 [cited by applicant]
US 20200302549A1 · Jordan, II et al. · 2020 [cited by applicant]
US 20200302681A1 · Totty et al. · 2020 [cited by applicant]
US 20200309557A1 · Efland · 2020 [cited by applicant]
US 20200327791A1 · Moon et al. · 2020 [cited by applicant]
US 20200357132A1 · Jovanovic · 2020 [cited by examiner]
US 20200370994A1 · Santarone et al. · 2020 [cited by applicant]
US 20210035432A1 · Moon et al. · 2021 [cited by applicant]
US 20210035455A1 · Hall et al. · 2021 [cited by applicant]
US 20210041246A1 · Kukreja · 2021 [cited by applicant]
US 20210042843A1 · Bryant et al. · 2021 [cited by applicant]
US 20210049542A1 · Dalal et al. · 2021 [cited by applicant]
US 20210064792A1 · Kim et al. · 2021 [cited by applicant]
US 20210097776A1 · Faulkner et al. · 2021 [cited by applicant]
US 20210104093A1 · Vincent et al. · 2021 [cited by applicant]
US 20210112647A1 · Coleman · 2021 [cited by applicant]
US 20210142564A1 · Impas et al. · 2021 [cited by applicant]
US 20210158671A1 · Jordan, II et al. · 2021 [cited by applicant]
US 20210224589A1 · Jahagirdar et al. · 2021 [cited by applicant]
US 20210264524A1 · Knarr et al. · 2021 [cited by applicant]
US 20210279811A1 · Waltman et al. · 2021 [cited by applicant]
US 20210279950A1 · Phalak · 2021 [cited by applicant]
US 20210312789A1 · Linn · 2021 [cited by applicant]
US 20210373569A1 · Tazume · 2021 [cited by applicant]
US 20220075038A1 · Hall et al. · 2022 [cited by applicant]
US 20220101275A1 · Aspro et al. · 2022 [cited by applicant]
US 20220415059A1 · Smolyanskiy et al. · 2022 [cited by applicant]
US 20230281527A1 · Cella et al. · 2023 [cited by applicant]
US 20230352005A1 · Akahori et al. · 2023 [cited by applicant]
CN 108694266A · 2018 [cited by applicant]
CN 106683089B · 2019 [cited by applicant]
CN 110160545B · 2020 [cited by applicant]
CN 111626536A · 2020 [cited by applicant]
CN 113138558A · 2021 [cited by applicant]
EP 2259225A1 · 2010 [cited by applicant]
JP 2003157357A · 2003 [cited by applicant]
JP 6675743B1 · 2020 [cited by applicant]
KR 101427369B1 · 2014 [cited by applicant]
KR 1020150129845A · 2015 [cited by applicant]
KR 1020190106867A · 2019 [cited by applicant]
KR 102038097B1 · 2019 [cited by applicant]
WO 2014159131A2 · 2014 [cited by applicant]
WO 2016081511A2 · 2016 [cited by applicant]
WO 2017201486A1 · 2017 [cited by applicant]
WO 2017217936A1 · 2017 [cited by applicant]
WO 2021087185A1 · 2021 [cited by applicant]
Article, “ Hyundai MnSoft Inc Submits Korean Patent Application for Method of Automatic Generation of Indoor Map Utilizing the LiDAR Equipment”; ZGlobal IP News. Measurement & Testing Patent News [New Delhi] May 11, 201… [cited by applicant]
Nagy, D., Lau, D., Locke, J., Stoddart, J., Villaggi, L., Wang, R & Benjamin, D. (May 2017). Project discover: An application of generative design for architectural space planning. In Proceedings of the Symposium on Sim… [cited by applicant]
Rahbar, M., Mahdavinejad, M., Bemanian, M., Davaie Markazi, A. H., & Hovestadt, L. (2019). Generating synthetic space allocation probability layouts based on trained conditional-GANs. Applied Artificial Intelligence, 33… [cited by applicant]
Villaggi, L., & Nagy, D. (2019). Generative Design for Architectural Space Planning: The Case of the Autodesk University 2017 Layout. (Year: 2017). [cited by applicant]
Anon., “Ubamarketapp trial for Warner's Budgens,” Grocer (The) 239.8269: 11. Williams Reed Ltd. (Aug. 20, 2016). (Year: 2016). [cited by applicant]
ApolloAuto, apollo_2_0_hardware_system_installation_guide_v1.md, updated on Jan. 17, 2019. [cited by applicant]
Arief, H.A., et al., “Land Cover Segmentation of Airborne LiDAR Data Using Stochastic Atrous Network,” Remote Sensing 10.6 MDPI AG. (Jun. 2018), (Year: 2018). [cited by applicant]
Covelli, “The Camera-Lidar Debate”, Jul. 29, 2019 (Year: 2019). [cited by applicant]
Leskens et al., An interactive simulation and visualization tool for flood analysis usable for practitioners, Mitig. Adapt. Strateg. Glob. Chang., 22:307-324 (2015). [cited by applicant]
LiDAR Camera L515—Intel (Registered) RealSense (Trademark) Depth and Tracking Cameras, Available Online at <https://web.archive.org./web/20200220130643/https://www.intelrealsense.com/lidar-camera-l515/> 1-17 (2020). [cited by applicant]
Liu et al., Precision study on augmented reality-based visual guidance for facility management tasks, Automation in Construction, 90: 79-90. (2018). [cited by applicant]
Ridden, “Intel adds palm-sized LiDAR to RealSense Range,” New Atlas, downloaded from the Internet at: <https://newatlas.com/digital-cameras/intel-realsense-1515-lidar/>, Dec. 12, 2019 (Year: 2019). [cited by applicant]
Rubinstein, E., “EFR confab: Operators put principles and the ‘Net’ into action,” Nation's Restaurant News 33.17: 4,83. Lebhar-Friedman, Inc. (Aril 26, 199). (Year: 1999). [cited by applicant]
Schall et al., “VIDENTE-3D visualization of underground infrastructure using handheld augmented reality.” Geohydroinformatics: integrating GIS and water engineering (2010): 207-219 (Year: 2010). [cited by applicant]
Schall et al., Smart Vidente: advances in mobile augmented reality for interactive visualization of underground infrastructure, Personal and Ubiquitous Computing, 17: 1533-1549 (2013). [cited by applicant]
Soria et al., Augmented and virtual reality for underground facilities management, Journal of Computing and Information Science in Engineering, 18.4 (2018). [cited by applicant]
Tran et al., Procedural Reconstruction of 3D Indoor Models from Lidar Data Using Reversible Jump Markov Chain Monte Carlo, 2020 (Year: 2020). [cited by applicant]
U.S. Appl. No. 17/185,858, filed Feb. 25, 2021, Marotta et al., “Systems and Methods for Light Detection and Ranging (LIDAR) Based Generation of a Personal Articles Insurance Quote”., U.S. Appl. No. 17/185,858. [cited by applicant]
U.S. Appl. No. 17/185,896, filed Feb. 25, 2021, Marotta et al., “Systems and Methods for Light Detection and Ranging (LIDAR) Based Generation of an Inventory List of Personal Belongings”., U.S. Appl. No. 17/185,896. [cited by applicant]
U.S. Appl. No. 17/185,925, filed Feb. 25, 2021, Marotta et al., “Systems And Methods For Light Detection And Ranging (Lidar) Based Generation Of A Homeowners Insurance Quote”., U.S. Appl. No. 17/185,925. [cited by applicant]
U.S. Appl. No. 17/185,930, filed Feb. 25, 2021, “Systems And Methods For Light Detection And Ranging (Lidar) Based Generation Of An Insurance Claim”., U.S. Appl. No. 17/185,930. [cited by applicant]
U.S. Appl. No. 17/185,938, filed Feb. 25, 2021, “Systems And Methods For Light Detection And Ranging (Lidar) Based Generation Of First Notice Of Loss”., U.S. Appl. No. 17/185,938. [cited by applicant]
U.S. Appl. No. 17/185,955, filed Feb. 25, 2021, “Systems And Methods For Light Detection And Ranging (Lidar) Based Generation Of Navigation For Vision-Impaired Individuals”., U.S. Appl. No. 17/185,955. [cited by applicant]
U.S. Appl. No. 17/240,970, filed Apr. 26, 2021, Marotta et al., “Systems And Methods For A 3d Home Model For Visualizing Proposed Changes To Home”. [cited by applicant]
U.S. Appl. No. 17/240,985, filed Apr. 26, 2021, “Systems And Methods For A 3d Home Model For Representation Of Property”. [cited by applicant]
U.S. Appl. No. 17/240,993, filed Apr. 26, 2021, Marotta et al., “Systems And Methods For A 3d Model For Viewing Potential Placement Of An Object”. [cited by applicant]
U.S. Appl. No. 17/240,999, filed Apr. 26, 2021, “Systems And Methods For Ai Based Recommendations For Object Placement In A Home”. [cited by applicant]
U.S. Appl. No. 17/241,008, filed Apr. 26, 2021, Marotta et al., “Systems And Methods For A 3d Model For Visualization Of Landscape Design”. [cited by applicant]
U.S. Appl. No. 17/241,013, filed Apr. 26, 2021, Marotta et al., “Systems And Methods For Visualization Of Utility Lines”. [cited by applicant]
U.S. Appl. No. 17/241,019, filed Apr. 26, 2021, Marotta et al., “Systems And Methods For Commercial Inventory Mapping”. [cited by applicant]
U.S. Appl. No. 17/241,025, filed Apr. 26, 2021, “Systems And Methods For Commercial Inventory Mapping Including A Lidar-Based Virtual Map”. [cited by applicant]
U.S. Appl. No. 17/241,036, filed Apr. 26, 2021, Marotta et al., “Systems And Methods For Commercial Inventory Mapping Including Determining If Goods Are Still Available”. [cited by applicant]
U.S. Appl. No. 17/241,043, filed Apr. 26, 2021, Marotta et al., “Systems And Methods For 3d Generation Of A Floor Plan For A Commercial Building”. [cited by applicant]
U.S. Appl. No. 17/241,053, filed Apr. 26, 2021, Marotta et al., “Systems And Methods For 3d Navigation Of An Interior Of A Building”. [cited by applicant]
U.S. Appl. No. 62/888,771 Specification, filed Aug. 19, 2019. (Year: 2019). [cited by applicant]
Zhou et al., Seamless Fusion of LiDAR and Aerial Imagery for Building Extraction, IEEE Transactions on Geoscience and Remote Sensing, 52(11):7393-7407 (2014). [cited by applicant]
Cited By (5)
US 12,361,376 US 12,530,727 US 12,541,682 US 12,572,892 US 12,586,135