Assignee
KAARTA INC
US·10 granted patents·3 pending applications·89 citations·filing 2016–2022
Top patents by PatentIndex Score
13 records- 0198US10989542B2Aligning measured signal data with slam localization data and uses thereofKAARTA INC·Filed 2020·Granted Apr 27, 2021·27 cites·21 claims
- 0297US11585662B2Laser scanner with real-time, online ego-motion estimationKAARTA INC·Filed 2021·Granted Feb 21, 2023·6 cites·26 claims
- 0397US11506500B2Aligning measured signal data with SLAM localization data and uses thereofKAARTA INC·Filed 2021·Granted Nov 22, 2022·7 cites·20 claims
- 0494US11573325B2Systems and methods for improvements in scanning and mappingKAARTA INC·Filed 2020·Granted Feb 7, 2023·5 cites·11 claims
- 0593US10962370B2Laser scanner with real-time, online ego-motion estimationKAARTA INC·Filed 2018·Granted Mar 30, 2021·10 cites·15 claims
- 0691US11567201B2Laser scanner with real-time, online ego-motion estimationKAARTA INC·Filed 2019·Granted Jan 31, 2023·8 cites·9 claims
- 0791US11398075B2Methods and systems for processing and colorizing point clouds and meshesKAARTA INC·Filed 2020·Granted Jul 26, 2022·6 cites·27 claims
- 0890US11830136B2Methods and systems for auto-leveling of point clouds and 3D modelsKAARTA INC·Filed 2020·Granted Nov 28, 2023·4 cites·19 claims
- 0976USD823920SSimultaneous localization and mapping (SLAM) deviceKAARTA INC·Filed 2016·Granted Jul 24, 2018·16 cites·1 claims
- 1070US2023288209A1Aligning measured signal data with slam localization data and uses thereofKAARTA INC·Filed 2022·Application pending·0 cites
- 1168US11815601B2Methods and systems for geo-referencing mapping systemsKAARTA INC·Filed 2020·Granted Nov 14, 2023·0 cites·4 claims
- 1248US2020400442A1Methods and systems for filtering point cloud map data for use with acquired scan frame dataKAARTA INC·Filed 2020·Application pending·0 cites
- 1344US2019346271A1Laser scanner with real-time, online ego-motion estimationKAARTA INC·Filed 2019·Application pending·0 cites
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Counts cover granted patents and pending applications in the PatentIndex corpus. How scoring works →