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Paper Citation Record · LEDGER

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

As of 23 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 2026-08-23T06:30:58.430688+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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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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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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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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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:f5413dbfa06cb51e474ef7dec60712ec6c247364660718878c828419995e33b5

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:e5ceba227999003b710251ed28027dfb505c3ab1dad7b0363ac67e4aaa7277f8

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:b32fa5e4a9b00eda3239ec637442b0b90948016564f8f891a240917726000102

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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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:eba528cdbf1e22d2b2c24474f4077a79950571fc1c51341b2e9b3e4d6b508554

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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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=sha256:8fe255d1e281ab7ca0f32d2f4dcc44dc6dd0ac50c3cbc86666516b98e25e12fc

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:d0dfd478361884517f613125a8a265b8fac51bf5e60b97423c6be248e8643658

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=sha256:77fdddf94b99e102beae152bf0666392204cbb066e7f05ee8bd7f9a362fee14e

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:e9c9abe340f0215e2f6cf8d63e4db6778e772d536279a3ddb30be5744e9dfa04

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=sha256:6b99a1a39b6a837944348d063e2efdede6c92c615018bdf9875ad5b751595d81

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=sha256:658f361b9183f7e66e18d87bb3a7447f9477fdf8dd9ca31a8993283cd06c6ed6

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=sha256:6eb0eac0efc6a15fab82bd4c1ad6bace8ff6343b278843503e80a9ee41214262

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=sha256:0a46e2637dfc5902cb20391b9afd3f41c722922154976bc22ceb869711479a6e

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:ad6ca1d9239593be93231bd32f5cba5d5ab23c23aa4ad9b6eb3f50e4cc4e07ee

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:e0e552f0e41bb89026912adc278b01555845d6f6e0c7fb870bf85dc0b828dce3

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:f7336d8d7980d4132d34a907215e26d42dc08a9c0b1568f774e6113631569143

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=sha256:57f4fc8d0eff9a4670f98a00017bd186d50f107ce5e114d03e85acf993a73243

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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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=sha256:872eaa41b8f82a16d134fd925c96332d95e9402a91a92fd9b91603f95d09c2ff

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=sha256:2a28a8fef8c36bca6a5331a190884da3923d0b8d8e037a7bd4b6bfb6407f7341

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=sha256:4e3521969745a6a4a144b5c6017fe11fcc40e97f794a84a5debd4fb68a34946f

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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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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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=sha256:0504b06822f40d34bbb337689f98ac838ceb838c9d8c6dfc15a99e16d98822b7

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=sha256:307deb2e0baf1b7d89a625ad2b134d0e037f9699d04d7e49b0f5687179e3d1fe

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:cebac96895891a26ec000eb67a40895bb591f64fdfe9da358bba65ace93f84bd

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:ea21d678760c2d8ca2f23f558df82fb54594f20da2c4897edfb4294fb21f8835

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=sha256:340572e9519000aa3e4d7b61e61ced50fe8854bb4bb28c6936a5496907e96af0

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:cd46abe323c9f6ab5777de8ce4f34e98af3c7304a30de97a556f858b2c601a39

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:eb684a3a9d50efa5696ccd64feee8a9daa57265da51af98f731ba8567009a608

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=sha256:0b6647f3bcbe88580eef5ccc605857ef6fbaf5f28a6397e22127be82029fb901

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=sha256:6bc982febebe5a43a370470214356701a0521135c7a1005868161d954cd930fb

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=sha256:93a5eeafab6aec3a0a536b7d9648dfdc9299a95b5dd7f70fa7762d2ee4bdf71d

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:b9ca5671b5331ae8078105a527fa71060e3928fb31b585affa55e1a663462677

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=sha256:662290ae3228698d5471fbffef383740474f1188615bee1560074bba96199ac5

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T11:24:24.678117Z digest=sha256:efd15274b282d0322d7e67be6828684185b277d6f8f6019d6863d05a4888e5bd

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=sha256:0cf34ce9b071307f227adadf7184a3b57040a30677d9dc906a77c3d257276653

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:a03d135a49bb3afa92b288102b98b9f4eb7bc6d0a59b58ca18c2a1355f36f29d

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:a34089ba21b2e5fbb33d437ca8a2ad90029f3862c71a02fb6b5f0ed99c1c4b61

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:f94df59bfea4363b6f94ae01b31ff1365bd0f641f4c3d0349bb7ff8d8cab39a6

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=sha256:64f76031df67fdb80b80c89087ccbab0cfd2845c5dca7243f44ab024deb3c753

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:c62508fe31724541aff92721145836f86fff65291b604020cb6b8ee32fb36f1f

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=sha256:26c193a72da7cc04068ad18cf6d101d8eeefc2aa55ae8080c9c863f2b5f19333

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
local_arxiv, observed 2026-08-14T11:24:26.510768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T11:24:24.710649Z digest=sha256:c2c76a4c61f3d0649b8130e7a0ae384d82546762513e98063fe31179aa1a15b7

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=sha256:41001c176d550c7ab2b9f7699964fbb3890a7514cecea1e41e957fd1af56f2b4

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=sha256:27c2caf4b7695754fac45f9325070cf5cabfb81bec6884327e8f8f7d4169b1a9

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=sha256:7bb1e17944ec10e58bb990e1edd7cac1b65be0e290159495a0ec6b458e5ffb23

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=sha256:8841b84098b3ca56eb6dd4e7d36126d586c60430073251f44d3d5d38a5d9fcb9

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=sha256:4dcdfeb0106a1adf3c24221a1ffcab24bdd5ffa4040b9af1ebd7f3dae4b05582

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=sha256:181a2d34d80d195c051d50427a87f31372b37e926b177862f5cb611376b031c0

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=sha256:9da1a135f774b10288c3c6d0904042570b6627281096d61ba11d121dc797e2aa

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=sha256:934b527f7593cb5ecf7e667ce71d86895a78a48d3c62c7f28d2add5aecc07c25

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:a9887e65603ef223e4239369d4e3f423cea2ce2721216d172186544dd0d707f0

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=sha256:7fffbe0c327b4d8fd021632e90c1c7af674f86d065a42ea4f9d0f772f8800f4e

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:fcdb227673695da4a18c12db8b9a75e786c681e44336a94158fc3c063af6fcfd

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:a998b25cccddbbdbb019e1b1ab16d133bd53a9816e27fc3ddd9cbe366c206cce

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=sha256:568aeea725b44f7411cb1eea110a77cec5af23082319037977f90f0deeebc0fb

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=sha256:86b6ea003080ca04d9553f625d2b3925849b4063167556e4803a6e67f38cc19f

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:bfbb1702652a81258fc27d5d75ce9213ae41c3a472e10de1130e302f4dfca588

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=sha256:05bcc0fbb6a4d815a8941c8104cfa97f6fa9c0b49bc8c2de7e319ad0087dfa6a

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=sha256:8f009306def50242eda2184955e0607c565192617f65eb29dc798b96a1db8430

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:d6b12a41c67c26699a91985953d0bb98010203e1d5e907b3f695c0af44ae5f51

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=sha256:8556cc2b12cdf4fdb39515249728fd7c96cc52c059be69365a03884fb7670fc3

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:efd866f1af80ea7c39bd70fcbafe4a137c681ef787f2312e3568389cd43ca88e

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=sha256:568a0de845b42a952e4fb38b31386866bb603a1cade6d726e37dbba3c698bddb

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:f550870a674d70b85b55e8c0bb5aaffbc725cd206ffb06224a8c72a5a5088c02

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=sha256:50a45bbd005f6b89b7c62a375096155429b88f6baf6e39883a70dfac1e64100f

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:ce192ef75e5d96b80554ab4c6f07355519879c2a0ec6e65272b2f844e4347b9c

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=sha256:21dd87d8976ef13ed4ad8b847ac116ee2fd6c31a3a9efb3ab9475d4290b028ea

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=sha256:7984e5a768b3a2947b36378989670c938e4581d032ce0a23dad84379e78effe5

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-reported events for the cited work

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source=pdf_text observed=2026-08-14T11:24:24.822268Z digest=sha256:f3e908ade5c4b49d2739bfb65c6999f9f0b47a6fd9a20bc1d69a1913189c9bae

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:f781bd3fcd38995d77e9edf100de917e88eb58ff4b3053183d5d83bf8f7819c4

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-reported events for the cited work

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source=pdf_text observed=2026-08-14T11:24:24.829704Z digest=sha256:f91e751abd3b526f5da51ae36ae4d39870e12718447aa4345acf9eb2bf7af24a

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:ea41176e6e7e79735910acf73002916ef45c6934a0b37bdbeaef8794a1186388

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:bb53b2bedf7e70008e4df8df2d662d7c872630d4c9f7e6001f3cf8ba20b6f8a2

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-reported events for the cited work

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source=pdf_text observed=2026-08-14T11:24:24.841233Z digest=sha256:d07006848644447b0e5f27ef93b218e4496608574471accfc0cd600fd9b6c4cd

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T11:24:24.846293Z digest=sha256:7687742358b29ae860efb461276d268b05282fa9282854362b584b345bf7bc3c

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=sha256:51d4a70172f1afc1515231818ce04db22761245b2035da3a53d27918fdc6c7fd

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:bdbd482f47aedbc155e35937b8411e0a4309da9217f27e26432c5fc6be594c17

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-reported events for the cited work

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source=pdf_text observed=2026-08-14T11:24:24.859914Z digest=sha256:daaebdd17112d697f3f605e088d21401ddf5b1841afd93b99533d7549457eb06

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=sha256:36b28d018570a0855ceca8aa9531c4f2c562d36d3bd8ced7b0105235c0e40144

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-reported events for the cited work

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source=pdf_text observed=2026-08-14T11:24:24.867948Z digest=sha256:8e495ec6cc85e6a67f9de27038e6cf2c80f28bbdb035b84683d25403379e60b9

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T11:24:24.871946Z digest=sha256:657e0d9fa1c4c9e9132e8e3a9e855f0f93856981f2b6bd18b73772b992abfffc

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:cdfcb8a9ab4437a8f9bbd1b7754f88b37286cb7b983f9f433acf3e321ccc0d13

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-reported events for the cited work

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source=pdf_text observed=2026-08-14T11:24:24.880081Z digest=sha256:1092b3cdd31bd4945793a74ff614456d0413e4eef136299d8c4acc1072c4d22d

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:e61f24b4ac7577f922dc4da5bf99851240bc81ce22edd4c86379d2d39b276bdd

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=sha256:687ec00f7fef853eac764fcac66202b5b8bffa99481bdfa5404de36c5abc8339

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-reported events for the cited work

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source=pdf_text observed=2026-08-14T11:24:24.892004Z digest=sha256:5901784f38a238b3d96b147bf53bebf1057020d34989787310bc2af03396c0c0

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=sha256:92e02368f4a1e79bcfa4c9f041a4b0b7ca7e5b4a8dd14da2d8f6a2e97527b9b3

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-reported events for the cited work

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source=pdf_text observed=2026-08-14T11:24:24.900450Z digest=sha256:efde0d8d6d3fc1a22041fee93e6be3bcbdb5a2f33627f770bf573f83f27f1ad3

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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no resolver link, observed 2026-08-14T11:24:24.904757Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-14T11:24:24.904757Z digest=sha256:8b070590fee45b996a3458a690439f800865df09c30039488989608100df449d

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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no resolver link, observed 2026-08-14T11:24:24.909008Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-14T11:24:24.909008Z digest=sha256:86ca6c1843bece1a03f867544594624b5b39c5db4ee32fb9e532aa8eb94e47db

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-reported events for the cited work

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source=pdf_text observed=2026-08-14T11:24:24.913200Z digest=sha256:42789b45f4e1004c741e0b5225bea444f68cd850f7aee804c63d924dc3130268

Pith citing papers

No inbound Pith citation observations are available.