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Paper Citation Record · LEDGER

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks

As of 15 August 2026, this Paper Citation Record lists 100 of 300 outbound references and 0 inbound Pith citation observations for arXiv:1909.05214.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1909.05214 v4

Coverage vector

measured 100 of 300 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:24:24.913200Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 300 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved96
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1044220e-a782-43a5-8432-215e7e0fb806 · outbound

This paper cites Simultaneous ma p build- ing and localization for an autonomous mobile robot.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Simultaneous ma p build- ing and localization for an autonomous mobile robot

Reference 1

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Observation 971b20f3-33e5-44f8-99b8-3fef0b8924d6 · outbound

This paper cites Estim ating un- certain spatial relationships in robotics.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Estim ating un- certain spatial relationships in robotics

Reference 2

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source=pdf_text observed=2026-08-14T11:24:24.502687Z digest=sha256:ebc72a61ad7dd59306787de3c425611a87b4d86a9c4d10f13bccd85dc88f751d

Observation 45cf8369-e03b-4e11-92ae-b049c7a1c423 · outbound

This paper cites A robu st indoor positioning method based on bluetooth low energy wit h separate channel information.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks A robu st indoor positioning method based on bluetooth low energy wit h separate channel information

Reference 3

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source=pdf_text observed=2026-08-14T11:24:24.507364Z digest=sha256:a11351a43b5ae0fdfc6eb9b88c9e2113dea1eeb5852beabaee707c26b8fdcef8

Observation e7352d2b-46de-4b5e-8976-6b7b26f38d82 · outbound

This paper cites iparking: An intelligent indoor location-based smartphon e parking service.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks iparking: An intelligent indoor location-based smartphon e parking service

Reference 4

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source=pdf_text observed=2026-08-14T11:24:24.511848Z digest=sha256:854700c5b5e492f5e5f862d9c58d9c9412337c60081bd3942b2a87d0760caf44

Observation 58309174-a41d-4e03-ba8f-4a597ff5555a · outbound

This paper cites A hybrid smartphone indoor positioning solutio n for mobile lbs.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks A hybrid smartphone indoor positioning solutio n for mobile lbs

Reference 5

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source=pdf_text observed=2026-08-14T11:24:24.516422Z digest=sha256:c4c1faba68bcf9b7f8758e21efe12873c89e076374b3d084a82f0add60697c76

Observation efdbd46d-9510-4f27-82a1-471c582c3f3f · outbound

This paper cites Probabilistic robotics.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Probabilistic robotics

Reference 6

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Observation 290e3d21-f0dd-40ba-a155-aa7e662f9458 · outbound

This paper cites An e valu- ation of 2d slam techniques available in robot operating sys tem.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks An e valu- ation of 2d slam techniques available in robot operating sys tem

Reference 7

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source=pdf_text observed=2026-08-14T11:24:24.527323Z digest=sha256:6fe59c08e149ae32a7181231e13b23a3240903bda1541799d9443642ce8501d6

Observation fb7a309d-e9be-459d-94ec-907fec3304b1 · outbound

This paper cites Improved techniques for grid mapping with rao-blackwellized partic le filters.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Improved techniques for grid mapping with rao-blackwellized partic le filters

Reference 8

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source=pdf_text observed=2026-08-14T11:24:24.532351Z digest=sha256:6e9fd96f71243fb2c1614307a936069e0872d012e0e1960e7a6a4c2a3d72c249

Observation edfbb3f1-7f79-42e6-a954-8932b55a6283 · outbound

This paper cites Fastslam: A factored solution to the simultaneous loc alization and mapping problem.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Fastslam: A factored solution to the simultaneous loc alization and mapping problem

Reference 9

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source=pdf_text observed=2026-08-14T11:24:24.536646Z digest=sha256:14608193c551887061f2f198ce8168e296437372178ddebd8424bff5eb68eba2

Observation 4e2190aa-ce0e-4047-86b4-34a368250559 · outbound

This paper cites Fastslam 2.0: An improved particle filtering algorith m for simultaneous localization and mapping that provably conve rges.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Fastslam 2.0: An improved particle filtering algorith m for simultaneous localization and mapping that provably conve rges

Reference 10

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source=pdf_text observed=2026-08-14T11:24:24.540684Z digest=sha256:009765ba56b3a7549df75ba39bf1a10f83de750dff5776c5598ccbf4654f34be

Observation 866a5922-138d-494e-978b-6bf7ea860cda · outbound

This paper cites A flexible and scalable slam system with full 3d mot ion estimation.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks A flexible and scalable slam system with full 3d mot ion estimation

Reference 11

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source=pdf_text observed=2026-08-14T11:24:24.545182Z digest=sha256:b8338b3ab3cb54e16193c924ec1715998f9b2c2457a2145a6ddb00a9745cbac3

Observation fc0048a2-f096-4f07-b762-ffdce6e05526 · outbound

This paper cites Efficient sparse pose a djustment for 2d mapping.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Efficient sparse pose a djustment for 2d mapping

Reference 12

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source=pdf_text observed=2026-08-14T11:24:24.549000Z digest=sha256:86e745a4ef0ffd9cd4662e6687f1f075bc5a2aae047a1cbc98143c1badbd4287

Observation 8d70b88d-79d6-49b3-81f2-378875eed658 · outbound

This paper cites A linear approximation for graph-based simultaneous local ization and mapping.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks A linear approximation for graph-based simultaneous local ization and mapping

Reference 13

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source=pdf_text observed=2026-08-14T11:24:24.552931Z digest=sha256:6164ee3d3a9e21c6fd92148d017c0a2884d296eb08f081cb888283cd5f5e5a5d

Observation 9bc079c0-8ecb-4e32-b526-0fd9c2a6a2b2 · outbound

This paper cites A slam algorithm in le ss than 200 lines c-language program.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks A slam algorithm in le ss than 200 lines c-language program

Reference 14

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source=pdf_text observed=2026-08-14T11:24:24.556730Z digest=sha256:1c48709e5d91ae4002f0446a882b2d28e6821e6bbdfb6e56ebf0af412b0cc338

Observation 0d03efa4-9e26-498d-a10a-8c4ca93b25da · outbound

This paper cites Real- time loop closure in 2d lidar slam.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Real- time loop closure in 2d lidar slam

Reference 15

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source=pdf_text observed=2026-08-14T11:24:24.560752Z digest=sha256:9bce6db71739aa22dc98c104f3c88bcae0be73c862ad1dcae2b67f0ca3885c82

Observation 11577e80-cf7f-4fb9-ac58-6a658f69f9ee · outbound

This paper cites Loam: Lidar odometry and mapp ing in real-time.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Loam: Lidar odometry and mapp ing in real-time

Reference 16

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source=pdf_text observed=2026-08-14T11:24:24.565245Z digest=sha256:30108c7c22262f3abb0b9e07e974da123b30b89ff52ce38e0fc05444e6176d13

Observation 622362d8-209c-4893-85a8-cfde66f7802b · outbound

This paper cites Lego-loam: Lightweigh t and ground- optimized lidar odometry and mapping on variable terrain.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Lego-loam: Lightweigh t and ground- optimized lidar odometry and mapping on variable terrain

Reference 17

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source=pdf_text observed=2026-08-14T11:24:24.569335Z digest=sha256:e5fdbb8f0ef44ba2e5e016e60cdd448c069d6eec0d903386cfc784b711922358

Observation b6c2c95b-9643-4974-aad9-be6fcd2166e5 · outbound

This paper cites Imls-slam: scan-to-model ma tching based on 3d data.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Imls-slam: scan-to-model ma tching based on 3d data

Reference 18

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source=pdf_text observed=2026-08-14T11:24:24.573389Z digest=sha256:51e634d369ad6f635b45e8778d2da7203c87d9e51630e5bffe762b0a1aefb5af

Observation 09d311c5-77cd-4bcf-8ea7-30ebcc31041e · outbound

This paper cites Pointnetvlad: Deep point cloud based retrieval for large-scale place recognition.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Pointnetvlad: Deep point cloud based retrieval for large-scale place recognition

Reference 19

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source=pdf_text observed=2026-08-14T11:24:24.577303Z digest=sha256:c5c9a621bd84bda54dcd67f778529b4df4566cc91764e88e6f2e9c0ed9514deb

Observation 044cc5b4-9df0-4c4e-bfd9-ae34738d0c4d · outbound

This paper cites V oxelnet: End-to-end learnin g for point cloud based 3d object detection.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks V oxelnet: End-to-end learnin g for point cloud based 3d object detection

Reference 20

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source=pdf_text observed=2026-08-14T11:24:24.581099Z digest=sha256:23cad849461764d79b3e7e8c82d0d6d76254afd2fb7fbe9c3bb817d6ab5a9e3d

Observation 4ef596a2-0cf0-4e70-bf4e-a8703e3b5327 · outbound

This paper cites Birdne t: a 3d object detection framework from lidar information.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Birdne t: a 3d object detection framework from lidar information

Reference 21

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source=pdf_text observed=2026-08-14T11:24:24.585081Z digest=sha256:6d1da020b63771119e0daac9f436a0853fd5e91316567a3b3204332dac4d8916

Observation 9ad4f069-a373-4ca0-a594-c956e4f3c6f4 · outbound

This paper cites Lmnet: Real-time multiclass object detection on cpu using 3 d lidar.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Lmnet: Real-time multiclass object detection on cpu using 3 d lidar

Reference 22

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source=pdf_text observed=2026-08-14T11:24:24.588836Z digest=sha256:bd67f4d9ba1bbacf980ac5678111544e7a4da7ef3ca0b72ac8107e10faa09b9d

Observation f2ad4d27-cd30-4d4c-a2b7-fbd22b010f56 · outbound

This paper cites Pixor: Real-t ime 3d object detection from point clouds.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Pixor: Real-t ime 3d object detection from point clouds

Reference 23

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source=pdf_text observed=2026-08-14T11:24:24.592545Z digest=sha256:0c47da58f0f2280fcc0ad62aa09f48b49f838015036441b5b049813672e9c2d1

Observation a3dfb349-58ce-4e1f-92ea-355d96897dc0 · outbound

This paper cites Y olo3d: End-to-end real-time 3d orient ed object bounding box detection from lidar point cloud.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Y olo3d: End-to-end real-time 3d orient ed object bounding box detection from lidar point cloud

Reference 24

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source=pdf_text observed=2026-08-14T11:24:24.596648Z digest=sha256:eec236a06f53dce466424e7100018fe22c533fbea1e6176d0fbb69994fdc9672

Observation a9b84590-befb-4585-b229-1df042e1bf46 · outbound

This paper cites Pointcnn: Convolution on x-transformed points.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Pointcnn: Convolution on x-transformed points

Reference 25

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source=pdf_text observed=2026-08-14T11:24:24.600998Z digest=sha256:38b7ebbc1d56e25f442b8dee195671d09ef243c46e271605c9e0bb82d9376f87

Observation e6f7784e-e7c8-4887-b5b5-c2d79b2341de · outbound

This paper cites Mult i-view 3d object detection network for autonomous driving.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Mult i-view 3d object detection network for autonomous driving

Reference 26

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source=pdf_text observed=2026-08-14T11:24:24.604590Z digest=sha256:14cbe9c1d4696cfa7d523742bd84cca4e71c6d2c1b089086b541ea88939b8802

Observation a461ee98-d0af-4af3-b6a1-2168d806c5dc · outbound

This paper cites Pu-gan: A point cloud upsampling adversarial netw ork.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Pu-gan: A point cloud upsampling adversarial netw ork

Reference 27

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source=pdf_text observed=2026-08-14T11:24:24.608407Z digest=sha256:d75df41a7a1dd5f38d0763a15adf43f1db2b5b8b6b140f478f58b31d33227f5f

Observation c501383f-d20e-41e0-ad34-8d575896a6a9 · outbound

This paper cites Splatnet: Spa rse lattice networks for point cloud processing.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Splatnet: Spa rse lattice networks for point cloud processing

Reference 28

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source=pdf_text observed=2026-08-14T11:24:24.612328Z digest=sha256:41f779cab56f38dbcf79b3a39e07fb6c7f8d1f6de57efa4288806f463472aedb

Observation c6d29574-038a-401f-8120-820d68a28b79 · outbound

This paper cites A review of point clou ds segmentation and classification algorithms.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks A review of point clou ds segmentation and classification algorithms

Reference 29

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source=pdf_text observed=2026-08-14T11:24:24.616480Z digest=sha256:e6f76bbdacece3acc5a8c11f476d72b6fb6dd02214e66b2fea21fa73bfda20fd

Observation 0a45d3d8-6186-49c9-a2ea-36fee86a5f7e · outbound

This paper cites PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Reference 30

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source=pdf_text observed=2026-08-14T11:24:24.620218Z digest=sha256:26912dc106498559b304f840c1fb7fd816e1fb2d3313c59913b0bbec82b8fcf4

Observation f24c8176-8949-4f5f-9b2d-f263e13702bd · outbound

This paper cites PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Reference 31

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source=pdf_text observed=2026-08-14T11:24:24.625063Z digest=sha256:22830d6eb15c67c2a4574b10bcebe44156260f828596e93bff53254079e747b1

Observation 163a1dca-7a89-4277-8a6b-14d4fd290483 · outbound

This paper cites Deep Hough Voting for 3D Object Detection in Point Clouds.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Deep Hough Voting for 3D Object Detection in Point Clouds

Reference 32

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source=pdf_text observed=2026-08-14T11:24:24.629449Z digest=sha256:ffdaf0ab9a7fb755175310eea1688712b88f460fcdf4c673acad2cd8fdfb90c6

Observation fd29fc89-0473-48b6-927c-e26be1b582e3 · outbound

This paper cites SegMap: 3d segment mapping usin g data-driven descriptors.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks SegMap: 3d segment mapping usin g data-driven descriptors

Reference 33

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source=pdf_text observed=2026-08-14T11:24:24.634044Z digest=sha256:a2e4c8fde199c486cf1b1e627783ac23e1477b84f0ddac66163652d2f153de7a

Observation ca10ecf0-9bdc-4f3e-ab8b-ef40fa15a270 · outbound

This paper cites Squ eezeseg: Convolutional neural nets with recurrent crf for real-time road-object segmentation from 3d lidar point cloud.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Squ eezeseg: Convolutional neural nets with recurrent crf for real-time road-object segmentation from 3d lidar point cloud

Reference 34

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source=pdf_text observed=2026-08-14T11:24:24.638382Z digest=sha256:67a0c4a490f016409778fbf8082bb9c425bea16515f01d2e10d93aee169ef407

Observation 89172b91-fd87-4691-8f88-a5b72f03798f · outbound

This paper cites Squeezesegv2: Improved model structure and unsup ervised domain adaptation for road-object segmentation from a lida r point cloud.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Squeezesegv2: Improved model structure and unsup ervised domain adaptation for road-object segmentation from a lida r point cloud

Reference 35

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source=pdf_text observed=2026-08-14T11:24:24.642393Z digest=sha256:fcc21bada575d7f410fcc95e8a989510f167bdceb0bd46e3edc47fcf1a91c2da

Observation 49432ecb-1d5d-44e7-b136-a67e4d248d67 · outbound

This paper cites A lidar point cloud generator: f rom a virtual world to autonomous driving.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks A lidar point cloud generator: f rom a virtual world to autonomous driving

Reference 36

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source=pdf_text observed=2026-08-14T11:24:24.646754Z digest=sha256:36dea7e549493ff6f83f8675f59d4605dbbc6a963b2aa3dbeada77cab80d4133

Observation 8bac36e9-e434-4ee5-8843-2c3e54c2cbb6 · outbound

This paper cites PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic Segmentation.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic Segmentation

Reference 37

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source=pdf_text observed=2026-08-14T11:24:24.651468Z digest=sha256:a199d0952c3f16a45dccc2d08cbcb2a036308cf204a8bc26b99990fc1e475137

Observation 086a4bb5-f457-4b69-8e9a-1ecefe3db480 · outbound

This paper cites Point wise convo- lutional neural networks.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Point wise convo- lutional neural networks

Reference 38

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source=pdf_text observed=2026-08-14T11:24:24.657470Z digest=sha256:4707e18b8856322fcc378f9983a077b6a13e3b2f9eb86354acd244e0e828227c

Observation 7c060734-b5f3-4ffa-9d5a-eb9d179dd92d · outbound

This paper cites 3d recurrent neural networks with context fusion for point c loud semantic segmentation.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks 3d recurrent neural networks with context fusion for point c loud semantic segmentation

Reference 39

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source=pdf_text observed=2026-08-14T11:24:24.661958Z digest=sha256:fd1f003754fea3705f017bc0932162935294fd43d906882e253fb1f492beaf70

Observation 544ee4be-9172-444d-bb74-574103e0cd87 · outbound

This paper cites Large-scale poin t cloud semantic segmentation with superpoint graphs.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Large-scale poin t cloud semantic segmentation with superpoint graphs

Reference 40

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source=pdf_text observed=2026-08-14T11:24:24.666149Z digest=sha256:df88bd1ca445cb9a602407fcd104cb3ef030f9ae8d5ef16260dddef1dccf4581

Observation a46fb729-ee2e-47dc-83ff-f78acac75191 · outbound

This paper cites Segmatch: Segment based place recog nition in 3d point clouds.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Segmatch: Segment based place recog nition in 3d point clouds

Reference 41

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source=pdf_text observed=2026-08-14T11:24:24.670091Z digest=sha256:e0cd6ce16b916dc71c5396be7a45174ecaba305f99d80d6f38b27870f51d557f

Observation e75d98f8-2d87-48dc-b207-653239183e5d · outbound

This paper cites Escape from cells: D eep kd- networks for the recognition of 3d point cloud models.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Escape from cells: D eep kd- networks for the recognition of 3d point cloud models

Reference 42

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source=pdf_text observed=2026-08-14T11:24:24.674014Z digest=sha256:bc25e7964f7b2928509561f582cb8d4f10d16ac2108a71ba3ac238915a0e5637

Observation 7ad26779-85c2-4c30-bd66-d6895a17587f · outbound

This paper cites DeepTemporalSeg: Temporally Consistent Semantic Segmentation of 3D LiDAR Scans.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks DeepTemporalSeg: Temporally Consistent Semantic Segmentation of 3D LiDAR Scans

Reference 43

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:24:24.678117Z digest=sha256:8a7d603c3e6c2d64087a787735a08845328a9863eb06e4d94ae542a996605a1c

Observation de06ae72-849e-4814-8e27-50445387b786 · outbound

This paper cites Lu-net: An efficient network for 3d lidar p oint cloud semantic segmentation based on end-to-end-learned 3 d features and u-net.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Lu-net: An efficient network for 3d lidar p oint cloud semantic segmentation based on end-to-end-learned 3 d features and u-net

Reference 44

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source=pdf_text observed=2026-08-14T11:24:24.682156Z digest=sha256:4bed050ec64bee3aac5068d8c2f4c659a583306cdc3f2ccb5a5006e28b0ea698

Observation 641053cb-17a0-4530-90f2-5107cce7a56e · outbound

This paper cites Pointr cnn: 3d ob- ject proposal generation and detection from point cloud.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Pointr cnn: 3d ob- ject proposal generation and detection from point cloud

Reference 45

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source=pdf_text observed=2026-08-14T11:24:24.686287Z digest=sha256:3ccaf7bb3ea0fe960d7a51c4e56339380e99cdbcc5145ba8c8c9b58774bc201a

Observation 6c8f446b-f39b-4bde-9515-3e784c2ad854 · outbound

This paper cites L3-net: Towards learning based lidar localization for auto nomous driv- ing.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks L3-net: Towards learning based lidar localization for auto nomous driv- ing

Reference 46

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source=pdf_text observed=2026-08-14T11:24:24.689943Z digest=sha256:5ecb6c1ae37fb76753bb767afc9957e60026c207f80e723921636826376b973e

Observation 9d8bcecb-5e8e-4eb9-9d99-799e12d4d3f3 · outbound

This paper cites Suma++: Efficient lidar-based semantic slam.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Suma++: Efficient lidar-based semantic slam

Reference 47

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source=pdf_text observed=2026-08-14T11:24:24.694032Z digest=sha256:cd6a687c34de0f5dd6cc40b5243c2818a8b946090eb4ab632233d02b7074a540

Observation 3c49f321-03bd-44bd-ad05-61a737db6fba · outbound

This paper cites Imu- assisted 2d slam method for low-texture and dynamic environ ments.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Imu- assisted 2d slam method for low-texture and dynamic environ ments

Reference 48

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source=pdf_text observed=2026-08-14T11:24:24.698236Z digest=sha256:998741eb35ca000f96a02b5c829a7dc77f3243d186aa02c6826782704e2ea3a1

Observation 0978a8a4-94d0-4989-ace3-63549b10b8e5 · outbound

This paper cites Dynamic pose graph slam: Long-term mapping in low dynamic environments.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Dynamic pose graph slam: Long-term mapping in low dynamic environments

Reference 49

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source=pdf_text observed=2026-08-14T11:24:24.702395Z digest=sha256:7a07970a6cf023035f72d056250ff1d4376c3f0b7da646a5969829167a6e10f8

Observation b17b6dca-2fad-44b1-b7ac-f6b6091c1339 · outbound

This paper cites I llusion and dazzle: Adversarial optical channel exploits against l idars for automotive applications.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks I llusion and dazzle: Adversarial optical channel exploits against l idars for automotive applications

Reference 50

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source=pdf_text observed=2026-08-14T11:24:24.706695Z digest=sha256:8dca4e3f9a05abf1bd93ac8ddda22ad76f27f3bec4760423a1d00d95463fca1e

Observation 9f8fc347-5da3-41dd-a66c-cbb7ec164404 · outbound

This paper cites Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving

Reference 51

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:24:24.710649Z digest=sha256:7ba98c73a14bbbb0ef79ef6cc41a6056674d8d0e8d25c3ead8861ba060296837

Observation 56a40df0-011c-45e0-9425-bb745339262c · outbound

This paper cites Orb-slam: a versatile and accurate monocular slam system.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Orb-slam: a versatile and accurate monocular slam system

Reference 52

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source=pdf_text observed=2026-08-14T11:24:24.716297Z digest=sha256:6c9b8bc33388da90148a38dfdf3623d23564660794d855c7670a102e2d72c618

Observation 449783da-85c6-4a56-b70d-9fe83f780f90 · outbound

This paper cites Vins-mono: A ro bust and versatile monocular visual-inertial state estimator.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Vins-mono: A ro bust and versatile monocular visual-inertial state estimator

Reference 53

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source=pdf_text observed=2026-08-14T11:24:24.720116Z digest=sha256:2acc7f00de2a0eb1f9a2a609223d2406fc7e5c3618030b8b7b37540102bb61bd

Observation 69ba0d09-133a-40e2-8152-3909097099eb · outbound

This paper cites Parallel tracking and map ping on a camera phone.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Parallel tracking and map ping on a camera phone

Reference 54

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source=pdf_text observed=2026-08-14T11:24:24.724200Z digest=sha256:f39e7bfaea81b0681581e96e6f199b7c8f719c1497daa0bc8d05f40f59a697e5

Observation 0188ce7b-1094-4953-9dee-8a247ad0196d · outbound

This paper cites K¨ ahler, V.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks K¨ ahler, V

Reference 55

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source=pdf_text observed=2026-08-14T11:24:24.728527Z digest=sha256:1fdb304cec10c4f14c3d7250556554d6490a1312a9308de94928a2ba3762dfcb

Observation 8d58c289-3020-47a8-9d13-aef266c2a01c · outbound

This paper cites Get out of my lab: Large-sca le, real- time visual-inertial localization.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Get out of my lab: Large-sca le, real- time visual-inertial localization

Reference 56

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source=pdf_text observed=2026-08-14T11:24:24.732484Z digest=sha256:3985d9a004a9f6e180b15dfcb5ced5760b5865c473905d05e2cb7155e08c3817

Observation a5960714-df95-4a7c-927c-7e46ddc75486 · outbound

This paper cites 14 Lectures on Visual SLAM: From Theory to Practice.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks 14 Lectures on Visual SLAM: From Theory to Practice

Reference 57

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source=pdf_text observed=2026-08-14T11:24:24.736908Z digest=sha256:e285ac0577721083c4461e87c94ca5489643699b97904aae1e09c91463283c04

Observation 729d5208-d442-4a6d-9333-25e963f247a2 · outbound

This paper cites Vi sual slam algorithms: A survey from 2010 to 2016.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Vi sual slam algorithms: A survey from 2010 to 2016

Reference 58

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source=pdf_text observed=2026-08-14T11:24:24.741586Z digest=sha256:994546289e7bbf584848bd9c56a1ff690fb182ce644a2fd4cd70045847e5fe9e

Observation 2dce78a5-2c36-4abe-b029-9793c601949d · outbound

This paper cites An fft-bas ed technique for translation, rotation, and scale-invariant image regi stration.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks An fft-bas ed technique for translation, rotation, and scale-invariant image regi stration

Reference 59

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source=pdf_text observed=2026-08-14T11:24:24.746042Z digest=sha256:6bed77982838be63bd017e62fe5428361b7bf2b3f35c9f9723207b3f41322e1b

Observation 294623a3-6213-4e41-9dfe-b04002e27de9 · outbound

This paper cites Visual odometry ba sed on the fourier-mellin transform for a rover using a monocular grou nd-facing camera.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Visual odometry ba sed on the fourier-mellin transform for a rover using a monocular grou nd-facing camera

Reference 60

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source=pdf_text observed=2026-08-14T11:24:24.750197Z digest=sha256:f0fc4515827c29ceff822daf41c1cc75cc733a68df4a643eba71948aa347e7c1

Observation 62f66bb7-75f5-4fac-a592-849d24137ef6 · outbound

This paper cites Visual odometry based on the fourier transform using a monocular gr ound- facing camera.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Visual odometry based on the fourier transform using a monocular gr ound- facing camera

Reference 61

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source=pdf_text observed=2026-08-14T11:24:24.754062Z digest=sha256:63d0ce0901499e04e568bcca825b3fc5fba0c60fa28b07dee0b10926dc1cf68e

Observation 5a90b9e1-8dc6-4ef7-86ba-4f9cef9f2bb2 · outbound

This paper cites A survy of mono cular simultaneous localization and mapping.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks A survy of mono cular simultaneous localization and mapping

Reference 62

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source=pdf_text observed=2026-08-14T11:24:24.758010Z digest=sha256:fbc1eaa17afd4081ab7f33f304c0067a06602a20925e97daa187ed26e5fe3326

Observation 79edce47-d48f-494c-9781-39b9d5e844b4 · outbound

This paper cites Event-based vision: A survey.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Event-based vision: A survey

Reference 63

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source=pdf_text observed=2026-08-14T11:24:24.762184Z digest=sha256:7868adec9ddc7c5ecfb654b737f8d6db88c223d9053a05efbd958f6411ec8ad1

Observation c0ee92f1-3c9b-4aa9-aa25-566170d895cf · outbound

This paper cites A 128x128 120db 15us latency asynchronous temporal contrast vision s ensor.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks A 128x128 120db 15us latency asynchronous temporal contrast vision s ensor

Reference 64

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source=pdf_text observed=2026-08-14T11:24:24.766339Z digest=sha256:8e68082c18ba19ef7268fc140158f0bed8269a19db7b0162f53e1dc3e3c67ac1

Observation 638bde1e-0e7d-4133-8013-dd0f8b2199cd · outbound

This paper cites 4.1 a 640 × 480 dynamic vision sensor with a 9 µ m pixel and 300meps address-event representation.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks 4.1 a 640 × 480 dynamic vision sensor with a 9 µ m pixel and 300meps address-event representation

Reference 65

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source=pdf_text observed=2026-08-14T11:24:24.770169Z digest=sha256:2f110ceacb71cb0e7bcd7eee8589db6d7f202c7347d14453f57bab29ffadf4eb

Observation ed76b267-be02-4f25-abce-69f640cde088 · outbound

This paper cites A microbolometer asynchronous dy namic vision sensor for lwir.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks A microbolometer asynchronous dy namic vision sensor for lwir

Reference 66

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source=pdf_text observed=2026-08-14T11:24:24.773847Z digest=sha256:958a1a12b8f35f829070ad35387859096609e051b5a20962cec6d2f5bf1c56e5

Observation 3bd24a18-25f9-42c2-aa81-b7f7e8191d35 · outbound

This paper cites A sparc- compatible general purpose address-event processor with 2 0-bit l0ns- resolution asynchronous sensor data interface in 0.18 µ m cmos.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks A sparc- compatible general purpose address-event processor with 2 0-bit l0ns- resolution asynchronous sensor data interface in 0.18 µ m cmos

Reference 67

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source=pdf_text observed=2026-08-14T11:24:24.778016Z digest=sha256:28723ff9be806c752954dec5a502a89acffa3bf433558a37c65a9fc2285ea11d

Observation ae2e7951-59c4-4941-82a0-c14aa0f10429 · outbound

This paper cites A du al-line optical transient sensor with on-chip precision time-stam p generation.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks A du al-line optical transient sensor with on-chip precision time-stam p generation

Reference 68

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source=pdf_text observed=2026-08-14T11:24:24.781941Z digest=sha256:7bfa019d082840d1d10a24893b807fe961022f82c2e28356be1b78abd14f5d9c

Observation d585af7e-d2b1-49f2-95a3-c4fbb9ef7603 · outbound

This paper cites A 240 × 180 130 db 3 µ s latency global shutter spatiotemporal vision sensor.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks A 240 × 180 130 db 3 µ s latency global shutter spatiotemporal vision sensor

Reference 69

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source=pdf_text observed=2026-08-14T11:24:24.786056Z digest=sha256:fdabc95f11bc9b1a3583fa174cf4f0276a43f29f30858f478b96bea8474c842e

Observation 406061a4-0798-4421-8f71-1070acbf5ef8 · outbound

This paper cites A qvga 143 db dynamic range frame-free pwm image sensor with lossle ss pixel-level video compression and time-domain cds.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks A qvga 143 db dynamic range frame-free pwm image sensor with lossle ss pixel-level video compression and time-domain cds

Reference 70

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source=pdf_text observed=2026-08-14T11:24:24.790044Z digest=sha256:2564820e63440c766fae4306edb903ee99f47dd7b97476d25a945f9cea3408b5

Observation 94c93999-6472-4056-8e3f-140a4a256aaf · outbound

This paper cites Monoslam: Real-time single camera slam.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Monoslam: Real-time single camera slam

Reference 71

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source=pdf_text observed=2026-08-14T11:24:24.794415Z digest=sha256:51d023208df5242d6a1ea33381b608b3476a25c9c6eaaa2259a39cc80ff17d8a

Observation aa8e5618-34ed-40ec-9da7-a2293c7a208b · outbound

This paper cites Parallel tracking and map ping for small ar workspaces.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Parallel tracking and map ping for small ar workspaces

Reference 72

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source=pdf_text observed=2026-08-14T11:24:24.798231Z digest=sha256:778d4218e4d7f74e27e0c58490669bfc70f5270c1c2fc336196c4e9d63cc2ae4

Observation cb771bca-67e2-40cc-b756-4b0f0eb83a06 · outbound

This paper cites an unresolved cited work.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Unresolved cited work

Reference 73

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source=pdf_text observed=2026-08-14T11:24:24.801959Z digest=sha256:abb585e39f376390de49f2ec36267619f05a76ac0365e90a668e7fa63662e661

Observation 2905e670-6f82-4b99-a294-7299732bb2f1 · outbound

This paper cites Improving the agility of k eyframe- based slam.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Improving the agility of k eyframe- based slam

Reference 74

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source=pdf_text observed=2026-08-14T11:24:24.805734Z digest=sha256:b5756984fd709d556776e1d3e809f55ec05f667594db75e08277099403d806aa

Observation 19d4a728-8b9e-4a9b-9acd-1a46ce316606 · outbound

This paper cites Orb: An efficient alternative to sift or surf.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Orb: An efficient alternative to sift or surf

Reference 75

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source=pdf_text observed=2026-08-14T11:24:24.809854Z digest=sha256:55fd42170c72cbe1ab62d7048157c0013830c7bb15506e9b419fa491b0b254e7

Observation 1a597257-ce20-4df6-ab75-a8b4ac9f41da · outbound

This paper cites Orb-slam2: An open-s ource slam system for monocular, stereo, and rgb-d cameras.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Orb-slam2: An open-s ource slam system for monocular, stereo, and rgb-d cameras

Reference 76

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source=pdf_text observed=2026-08-14T11:24:24.813656Z digest=sha256:cb03e08980244fea1e7ea5a41939506ad8d3dbb047352df160b54271d67660bd

Observation fab47a2c-fdfb-422d-95e7-8da2a201a457 · outbound

This paper cites Cubemapslam: A piecewise-pinhole mon ocular fisheye slam system.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Cubemapslam: A piecewise-pinhole mon ocular fisheye slam system

Reference 77

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source=pdf_text observed=2026-08-14T11:24:24.817256Z digest=sha256:68e20dea897075a9f79fa529a3c576412078c775d66ab0dd3157a911915ed276

Observation ae70a28b-c409-43d9-be5e-07ad71f019bb · outbound

This paper cites Visual-inertial mo nocular slam with map reuse.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Visual-inertial mo nocular slam with map reuse

Reference 78

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source=pdf_text observed=2026-08-14T11:24:24.822268Z digest=sha256:020e679e97f401b92837c0df11fa3bd90bc6b5c8d18ece9e4ad0d7de49b4c74e

Observation 41238a5f-db27-42e5-a48e-7709f62e5702 · outbound

This paper cites On-manifold preintegration for real-time visual–i nertial odom- etry.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks On-manifold preintegration for real-time visual–i nertial odom- etry

Reference 79

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source=pdf_text observed=2026-08-14T11:24:24.826041Z digest=sha256:28fb85d85fcfc0fa19ad986503855b15733bcfe752aeaba05e0bfa46b46be179

Observation a452e45a-618f-409f-a590-ffa37c084d34 · outbound

This paper cites Schlegel, M.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Schlegel, M

Reference 80

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source=pdf_text observed=2026-08-14T11:24:24.829704Z digest=sha256:2f14f41257302071ac4d7e61a6914aa6a8e460cd463ce699c0cdcdf2f4f42196

Observation d525ed0c-ad5b-414c-8984-47d7a8f9610a · outbound

This paper cites Efficient non-consecutive feature trac king for robust structure-from-motion.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Efficient non-consecutive feature trac king for robust structure-from-motion

Reference 81

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source=pdf_text observed=2026-08-14T11:24:24.833391Z digest=sha256:b8a67d8d94731b2bfa634153f66586b8c97716ca996a1ad5c2ddf1c30a183812

Observation e83560cb-6fce-469c-9bc8-27c9a15f99e2 · outbound

This paper cites Ope nvslam: a versatile visual slam framework, 2019.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Ope nvslam: a versatile visual slam framework, 2019

Reference 82

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-14T11:24:24.837247Z digest=sha256:f4152c4ca61c358df7b6f1d2e7925cc67753a6bdf1d26deaf02e9826290db4eb

Observation 703f8b61-e88f-49b1-8e70-b2f02962c2ee · outbound

This paper cites TagSLAM: Robust SLAM with Fiducial Markers.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks TagSLAM: Robust SLAM with Fiducial Markers

Reference 83

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source=pdf_text observed=2026-08-14T11:24:24.841233Z digest=sha256:66b3097a12fd3a96bd1d2591dbe89caeb729534a1ab42033d9ac773ec38ca356

Observation b769200c-c94a-4f43-a88a-261dee2ba38f · outbound

This paper cites UcoSLAM: Simultaneous Localization and Mapping by Fusion of KeyPoints and Squared Planar Markers.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks UcoSLAM: Simultaneous Localization and Mapping by Fusion of KeyPoints and Squared Planar Markers

Reference 84

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verified exact
local_arxiv, observed 2026-08-14T11:24:26.468837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:24:24.846293Z digest=sha256:5390d3bc2dd79555040f5c1a2bce946da5a2612098dc80ec7755f466ed5cb1f9

Observation f8b1c538-989e-4a8d-8e12-dc4ae90f7e09 · outbound

This paper cites Lsd-s lam: Large- scale direct monocular slam.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Lsd-s lam: Large- scale direct monocular slam

Reference 85

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-14T11:24:24.850419Z digest=sha256:78503faa292c9e4f3f22817b10b60681f4c01a369fa12f4002e8bb8d9faca23b

Observation b973f7fa-7729-48ce-a020-c3529ee1c032 · outbound

This paper cites Larg e-scale direct slam with stereo cameras.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Larg e-scale direct slam with stereo cameras

Reference 86

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source=pdf_text observed=2026-08-14T11:24:24.854228Z digest=sha256:ead4f303687d86563f1b0eba17bcf29b4b2847afc8745b7b1e92de525e8e7381

Observation 2fbb42b8-ac6f-4e16-b845-4381b712584c · outbound

This paper cites Large-s cale direct slam for omnidirectional cameras.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Large-s cale direct slam for omnidirectional cameras

Reference 87

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source=pdf_text observed=2026-08-14T11:24:24.859914Z digest=sha256:9872fc61d7e1dc16201a594fc5e129e868e5585106dd968d4ec53d1baad7145c

Observation 6d835ebc-952d-400c-84b9-af893f998dfe · outbound

This paper cites Spherical-m odel-based slam on full-view images for indoor environments.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Spherical-m odel-based slam on full-view images for indoor environments

Reference 88

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source=pdf_text observed=2026-08-14T11:24:24.863970Z digest=sha256:b61bd24c734261736c0d3ea8535da032e53702e772799d580df2dc4decf6e9d0

Observation 2bc309be-fc59-4cda-9bf2-d7324e0ea6d2 · outbound

This paper cites Svo: Semidirect visual odom etry for monocular and multicamera systems.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Svo: Semidirect visual odom etry for monocular and multicamera systems

Reference 89

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source=pdf_text observed=2026-08-14T11:24:24.867948Z digest=sha256:588baf553952bc50133ebbaeafa260710922f540df14afa920500951299f68db

Observation fc26b1fc-e60a-4b97-80cc-392689200301 · outbound

This paper cites CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth Prediction.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth Prediction

Reference 90

Resolution
verified exact
local_arxiv, observed 2026-08-14T11:24:26.439719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:24:24.871946Z digest=sha256:8029cde5563424a4ced4138e43685d0b600a99d32bbaad3510212c66fd84cd4e

Observation 307d8372-4a7d-414a-8053-e6a1354a16af · outbound

This paper cites Direct Sparse Odometry.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Direct Sparse Odometry

Reference 91

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source=pdf_text observed=2026-08-14T11:24:24.876097Z digest=sha256:93553a5125e05fb99fc2d0ae0d0f08f87d5941d209889f14d001aa1a4a1f726a

Observation ad249823-25da-47ce-862d-c18bded639a8 · outbound

This paper cites Direc t sparse odom- etry.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Direc t sparse odom- etry

Reference 92

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source=pdf_text observed=2026-08-14T11:24:24.880081Z digest=sha256:a61b9e15dd9e5efb6120b2f7b78b4de72908e998c8904f3c756c2a91532fc571

Observation a1ebf3f2-0b1a-41af-a1ee-31daa0fe0d29 · outbound

This paper cites Evo: A geometric approach to event-based 6-dof parallel tracking and mapping in real time.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Evo: A geometric approach to event-based 6-dof parallel tracking and mapping in real time

Reference 93

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source=pdf_text observed=2026-08-14T11:24:24.883845Z digest=sha256:d256b6d828a1bb6bbe74b6b0e37e7b99d93ae98edd4de85a4489bc7eea62cbd2

Observation 0959c810-06c3-4018-bbc4-a98d2d0141df · outbound

This paper cites Semi-dense 3d reconstruction wi th a stereo event camera.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Semi-dense 3d reconstruction wi th a stereo event camera

Reference 94

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source=pdf_text observed=2026-08-14T11:24:24.887662Z digest=sha256:bda0662a8a18d9a677ed2fe0ab9435f853292683211bcf7300cf524583576c63

Observation e62e5606-d913-41f1-b1cf-8d91b1497704 · outbound

This paper cites Simulta- neous localization and mapping for event-based vision syst ems.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Simulta- neous localization and mapping for event-based vision syst ems

Reference 95

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source=pdf_text observed=2026-08-14T11:24:24.892004Z digest=sha256:bbfee1284e9acc9eb769d5230a72ae034ae2dd499fa35031574285c7c17a60c4

Observation 89821ccd-bc79-468f-8755-cdb5713609f1 · outbound

This paper cites Event-based 3d slam with a depth-augmented dynami c vision sensor.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Event-based 3d slam with a depth-augmented dynami c vision sensor

Reference 96

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source=pdf_text observed=2026-08-14T11:24:24.896178Z digest=sha256:fcad3d0723368c437eeb47250fde2ad2cbc4a2b620181e3d4b6fb6d8263f5981

Observation 4310d0a1-8c44-4004-9bc0-c41093b04879 · outbound

This paper cites Inverse depth parametrization for monocular slam.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Inverse depth parametrization for monocular slam

Reference 97

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source=pdf_text observed=2026-08-14T11:24:24.900450Z digest=sha256:d6ca8ce234aa8844dfeb9baa80c332d6b4b059aeccc45b3b240d08f439aaa097

Observation 1a7fe2c8-1c83-43a6-ac18-699955dea7cd · outbound

This paper cites Dtam: Dense tracking and mapping in real-time.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Dtam: Dense tracking and mapping in real-time

Reference 98

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source=pdf_text observed=2026-08-14T11:24:24.904757Z digest=sha256:bcfa0a930b2283e05c9adf1fe5b3fdde431cc0612587d122857d0df073bc57b5

Observation f8faeee8-ddc5-4635-9a24-4ad6ec60f42a · outbound

This paper cites Multi-level mapping: Real-time dense monocular slam.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Multi-level mapping: Real-time dense monocular slam

Reference 99

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-14T11:24:24.909008Z digest=sha256:6438dc84b644c3931bc6a8c64a95c61353ab1926c093583143afbc31b471a66b

Observation ff0b6e06-a59f-471c-95d2-4ae2f267ac55 · outbound

This paper cites Kinectfusi on: Real- time dense surface mapping and tracking.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Kinectfusi on: Real- time dense surface mapping and tracking

Reference 100

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source=pdf_text observed=2026-08-14T11:24:24.913200Z digest=sha256:7b97a84474f3e5e9ea3796df3f44cb5886804015073f51dbe31a627dadcb1e64

Pith citing papers

No inbound Pith citation observations are available.