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Paper Citation Record · LEDGER

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping

As of 15 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2604.03747.

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

pith.paper-citation-record.v1
2604.03747 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-13T17:11:52.457688Z

measured 51 of 51 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

51 of 51 outbound references displayed

  • verified exact1
  • verified fuzzy50
  • unresolved0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7844413f-a857-4587-8ee3-58654266eb76 · outbound

This paper cites Onboard sensors-based self-localization for autonomous vehicle with hierarchical map.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Onboard sensors-based self-localization for autonomous vehicle with hierarchical map

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.863414Z

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.

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Observation a62a505f-9a25-4cc5-bf28-007aca130b6d · outbound

This paper cites Slope inspection under dense vegetation using lidar-based quadrotors.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Slope inspection under dense vegetation using lidar-based quadrotors

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.861616Z

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=2026-05-13T17:11:52.457688Z digest=sha256:4d91675260339f436b8a8cb94878456aeae3c91564f71a7bf8a8c8ad4e16cee8

Observation fedb5239-30de-46d7-962e-3b1d1c166880 · outbound

This paper cites A self-rotating, single-actuated uav with extended sensor field of view for autonomous navigation.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping A self-rotating, single-actuated uav with extended sensor field of view for autonomous navigation

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.859718Z

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.

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Observation b915bdf6-473b-4a48-b2e9-c7fd48e7e1d2 · outbound

This paper cites Rolo-slam: rotation-optimized lidar-only slam in uneven terrain with ground vehicle.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Rolo-slam: rotation-optimized lidar-only slam in uneven terrain with ground vehicle

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.865423Z

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=2026-05-13T17:11:52.457688Z digest=sha256:a449ab7cca70cf394adfa86417f6c08baf76b15927fc124e0a685c2b0d4ef4f8

Observation 8598597f-752d-46ad-8a12-5e393649b95a · outbound

This paper cites Mne-slam: Multi-agent neural slam for mobile robots.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Mne-slam: Multi-agent neural slam for mobile robots

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.857461Z

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=2026-05-13T17:11:52.457688Z digest=sha256:99f18fc2f9611c1c0cbc107e419febd9e9f767e2fb2c2a8dd5005a1dac1f1f54

Observation 1b6fde56-a89d-4375-9b00-cfb5f2ddfbd3 · outbound

This paper cites Targetless calibration of lidar-imu system based on continuous-time batch estimation.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Targetless calibration of lidar-imu system based on continuous-time batch estimation

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.855215Z

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=2026-05-13T17:11:52.457688Z digest=sha256:23c0f72754f06d884ad954f0e48de99ec1a01a54207804dc90fc3828f42b8ad7

Observation 07be0a7b-e91a-4c36-a0a6-0ddb2d6bd159 · outbound

This paper cites Liwo: Lidar-inertial-wheel odometry.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Liwo: Lidar-inertial-wheel odometry

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.867559Z

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=2026-05-13T17:11:52.457688Z digest=sha256:9b8a8f2aa77f42006759ba1160507d2822060d0aa21cf7b4a6ac283034b266cb

Observation db668952-4e11-47f0-8fa6-af40b48ddc8e · outbound

This paper cites Lic-fusion: Lidar- inertial-camera odometry.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Lic-fusion: Lidar- inertial-camera odometry

Reference 8

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verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.873342Z

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=2026-05-13T17:11:52.457688Z digest=sha256:0a828cb79ff25fe381ebb169366a4f09cc1d25906d762576868ecf9c8112a27e

Observation 4f428baf-c440-43f0-8c3f-36eb43a22545 · outbound

This paper cites Lic-fusion 2.0: Lidar-inertial-camera odometry with sliding-window plane-feature tracking.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Lic-fusion 2.0: Lidar-inertial-camera odometry with sliding-window plane-feature tracking

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.877393Z

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=2026-05-13T17:11:52.457688Z digest=sha256:f0b3caaa5b01091a0100a2651ccb7bbc64e86892509f729ca588d8f2830bdda5

Observation 0cd48042-ebf8-4edf-9b3c-6e3d4658df1c · outbound

This paper cites Fast-livo: Fast and tightly-coupled sparse-direct lidar-inertial-visual odometry.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Fast-livo: Fast and tightly-coupled sparse-direct lidar-inertial-visual odometry

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.887666Z

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=2026-05-13T17:11:52.457688Z digest=sha256:84d9f6a0904b67c6224906fdaef66e3a2a1ad80b38e38c839f2fa01b60103b50

Observation bd74a21c-6502-4c33-8c6d-5c6d621f000a · outbound

This paper cites Fast-lio: A fast, robust lidar-inertial odometry package by tightly-coupled iterated kalman filter.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Fast-lio: A fast, robust lidar-inertial odometry package by tightly-coupled iterated kalman filter

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.889549Z

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=2026-05-13T17:11:52.457688Z digest=sha256:839b981cb9df27eafecc66500d197582afd5fba3424655aeb15f3993a1a4a2fb

Observation f2cc8083-316a-4099-9616-906625280299 · outbound

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

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Lego-loam: Lightweight and ground-optimized lidar odometry and mapping on variable terrain

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.884754Z

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=2026-05-13T17:11:52.457688Z digest=sha256:2d721c8dd2d05c86b751d6f03b5efc2e0e84b2a2d2d74c348a4bcf3c66cd1aad

Observation 9aab4b44-3e3b-4cda-9f09-c2c82dcb94c7 · outbound

This paper cites Fast-livo2: Fast, direct lidar–inertial–visual odometry.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Fast-livo2: Fast, direct lidar–inertial–visual odometry

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.881222Z

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=2026-05-13T17:11:52.457688Z digest=sha256:adff7fd86d66f9e97b26e86ec3a42008dc595702c855550ea64e2b3b9145b8e4

Observation 8bbe2da7-5b90-4cf2-9910-d08879dc9ed9 · outbound

This paper cites Continuous- time fixed-lag smoothing for lidar-inertial-camera slam.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Continuous- time fixed-lag smoothing for lidar-inertial-camera slam

Reference 14

Resolution
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raw_fallback, observed 2026-05-13T17:13:01.883042Z

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=2026-05-13T17:11:52.457688Z digest=sha256:f848bb7a170ceef84725590f2f88212b4c0140567681aa6bedf022d7cbeeb75a

Observation cf105e8a-e460-4f25-a965-66c43639ab81 · outbound

This paper cites Lio-sam: Tightly-coupled lidar inertial odometry via smoothing and mapping.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Lio-sam: Tightly-coupled lidar inertial odometry via smoothing and mapping

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.879395Z

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=2026-05-13T17:11:52.457688Z digest=sha256:8e90f320ec7dcc37abeaa1475ec7a572f65a2bd78bb717e5197d3747fa1dcdcc

Observation 0daea98d-a27b-4c5e-a283-7ad943a3ad5d · outbound

This paper cites Traj-lo: In defense of lidar-only odometry using an effective continuous-time trajectory.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Traj-lo: In defense of lidar-only odometry using an effective continuous-time trajectory

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.853229Z

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=2026-05-13T17:11:52.457688Z digest=sha256:d1eb06aa7917bfaea79912925d85f596b922f0c5fbaae8d38d667a8b73fd221b

Observation 8aaf9f0b-3ff3-4bea-b140-6b7caf3a7dae · outbound

This paper cites Ct-icp: Real-time elastic lidar odometry with loop closure.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Ct-icp: Real-time elastic lidar odometry with loop closure

Reference 17

Resolution
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raw_fallback, observed 2026-05-13T17:13:01.869481Z

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=2026-05-13T17:11:52.457688Z digest=sha256:c265a79145f34fc029d26b611e8a1e5bfc195a4a99ac8eeabb15ebae0362b0db

Observation 44728b72-1187-4cca-ae3c-9b1295301c0b · outbound

This paper cites Continuous-time state estimation methods in robotics: A survey.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Continuous-time state estimation methods in robotics: A survey

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.871492Z

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=2026-05-13T17:11:52.457688Z digest=sha256:64c4e27d36984b783d2a29036d4ab01b042ef4a13583e5f24bebc561ceb51c17

Observation d3e64bda-4a3a-40ff-b539-0ed906decd53 · outbound

This paper cites Gaussian process gauss– newton for non-parametric simultaneous localization and mapping.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Gaussian process gauss– newton for non-parametric simultaneous localization and mapping

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.875481Z

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=2026-05-13T17:11:52.457688Z digest=sha256:df48be41da05c5ba59d0427f4c0eeb97f37c75ef5f8d56ad03a046ba5d75b255

Observation 2e43dd34-cf98-4727-a4e4-7cadd751103f · outbound

This paper cites Batch continuous-time trajectory estimation as exactly sparse gaussian process regression.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Batch continuous-time trajectory estimation as exactly sparse gaussian process regression

Reference 20

Resolution
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raw_fallback, observed 2026-05-13T17:13:01.905719Z

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=2026-05-13T17:11:52.457688Z digest=sha256:91e1d06c0676bda97c5be173a2a678133cccd5eee9cd3f1b432b74372dd37790

Observation 9bedef87-fc49-453f-859a-46b7e69cc23c · outbound

This paper cites Sparse Gaussian Processes for Continuous-Time Trajectory Estimation on Matrix Lie Groups.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Sparse Gaussian Processes for Continuous-Time Trajectory Estimation on Matrix Lie Groups

Reference 21

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arxiv_id, observed 2026-05-13T17:13:01.135459Z

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=2026-05-13T17:11:52.457688Z digest=sha256:4cb977ab3d113d4ffc6ca57741415e69e2da5c524f05a0ac3f72e8503faa29d4

Observation 6d79a59d-0c99-4c4f-b7cc-7b4465e248a2 · outbound

This paper cites The numerical evaluation of b-splines.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping The numerical evaluation of b-splines

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.950092Z

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=2026-05-13T17:11:52.457688Z digest=sha256:f74bf7c734339f548e67b08795069cab1036cc6c60711857fb701aa855a1d43b

Observation 835c30f9-cb52-426b-a9c2-3dc442339024 · outbound

This paper cites On calculating with b-splines.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping On calculating with b-splines

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.945909Z

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=2026-05-13T17:11:52.457688Z digest=sha256:dc377f052761c328a6f7d3b6c69f99ce3fc62c1805f4a0d9d53e1b651340bd50

Observation 2e9f45d1-d89e-4cba-97b9-e935b526ecf9 · outbound

This paper cites Efficient derivative computation for cumulative b-splines on lie groups.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Efficient derivative computation for cumulative b-splines on lie groups

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.943767Z

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=2026-05-13T17:11:52.457688Z digest=sha256:ca12d65dbea7bc715ed66c97cfb746462ba846ecef0ac3ae16905d358af54f97

Observation d7c92723-f0ae-440e-a8c6-2836fc379595 · outbound

This paper cites Clins: Continuous- time trajectory estimation for lidar-inertial system.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Clins: Continuous- time trajectory estimation for lidar-inertial system

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.897567Z

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=2026-05-13T17:11:52.457688Z digest=sha256:791a30c549ca766606a9e48457584d38c141ab78a0aa08044bfc521c30c84b11

Observation 7fb4fd94-da69-48c0-a999-ae815b3c87ce · outbound

This paper cites Eigen is all you need: Efficient lidar-inertial continuous-time odometry with internal association.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Eigen is all you need: Efficient lidar-inertial continuous-time odometry with internal association

Reference 26

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verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.937299Z

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=2026-05-13T17:11:52.457688Z digest=sha256:02aa29acfb1e7814c49fd6b62f11550a9c699ab1bd2f101d5f09fccca7e20128

Observation 933d6b42-c2ad-494c-ab7a-02180487f9a5 · outbound

This paper cites Resple: Recursive spline estimation for lidar-based odometry.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Resple: Recursive spline estimation for lidar-based odometry

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.952088Z

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=2026-05-13T17:11:52.457688Z digest=sha256:d385a7d5447977b5c353f562e3c493c5ab315f0a09823abc4437c1b4088cc61b

Observation 44bb17d8-7e7f-4f67-b831-f67575aee071 · outbound

This paper cites Mars-lvig dataset: A multi-sensor aerial robots slam dataset for lidar-visual-inertial-gnss fusion.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Mars-lvig dataset: A multi-sensor aerial robots slam dataset for lidar-visual-inertial-gnss fusion

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.939586Z

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=2026-05-13T17:11:52.457688Z digest=sha256:abdab752b06f0fb541cbd433aa9951a94174d356c9819d287a9963f9334759f6

Observation 92931b2d-1ead-4de8-b109-43568bfdd9cf · outbound

This paper cites M2ud: A multi-model, multi-scenario, uneven-terrain dataset for ground robot with localization and mapping evaluation.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping M2ud: A multi-model, multi-scenario, uneven-terrain dataset for ground robot with localization and mapping evaluation

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.903790Z

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=2026-05-13T17:11:52.457688Z digest=sha256:0c35d67950263d2c50964789dc516412f82c43c1bc6dd0b826253fc53146884e

Observation 585938c2-1992-47e4-814f-3e88c6214a75 · outbound

This paper cites Mcd: Diverse large-scale multi-campus dataset for robot perception.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Mcd: Diverse large-scale multi-campus dataset for robot perception

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.935292Z

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=2026-05-13T17:11:52.457688Z digest=sha256:a837f4cef1f595785014d7d2718bbc0efb0a4ae785e7c5dad9c5c58e534b3b7e

Observation f77d09a0-00c4-4d1d-8669-425e64167cbf · outbound

This paper cites Diter++: Diverse terrain and multi-modal dataset for multi-robot slam in multi-session environments.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Diter++: Diverse terrain and multi-modal dataset for multi-robot slam in multi-session environments

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.933008Z

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=2026-05-13T17:11:52.457688Z digest=sha256:3058c1e8bea63cd6b4f75598d0ba3f4de6ebca7d179a190b1e5c96fedb6390d3

Observation fcfa9fc1-55a8-4dd3-bd07-a9d6c5696f11 · outbound

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

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping A flexible and scalable slam system with full 3d motion estimation

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.893386Z

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=2026-05-13T17:11:52.457688Z digest=sha256:97303331bf98ffeadad1469e485f0a45f5969cb233aa9cb23fdbc3bdcf11a4d7

Observation b8fdceaa-bb91-4eda-a4c3-31a36b1da3da · outbound

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

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Loam: Lidar odometry and mapping in real- time

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.948029Z

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=2026-05-13T17:11:52.457688Z digest=sha256:ddd3f96bcf5b9328e153462d8b71ece8b638e919f162f87ce39e34a290773363

Observation 701b9049-d603-4c83-845d-d1947ab06165 · outbound

This paper cites Ekf-loam: An adaptive fusion of lidar slam with wheel odometry and inertial data for confined spaces with few geometric features.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Ekf-loam: An adaptive fusion of lidar slam with wheel odometry and inertial data for confined spaces with few geometric features

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.915287Z

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=2026-05-13T17:11:52.457688Z digest=sha256:1158462418d15b695e3291ac2b14f307c07089926334befce145e79277d041ff

Observation e20f8502-9e7e-4914-b80b-e7b060b1d442 · outbound

This paper cites A multi-state constraint kalman filter for vision-aided inertial navigation.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping A multi-state constraint kalman filter for vision-aided inertial navigation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.909290Z

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=2026-05-13T17:11:52.457688Z digest=sha256:512cba7b6daa8ae294790317f3fa32ff42f97ba6dcb97ba8d9ffd6ba8d77a1c5

Observation 7f335f54-1dde-42e4-b7bf-beca41b9d98f · outbound

This paper cites High-precision, consistent ekf-based visual- inertial odometry.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping High-precision, consistent ekf-based visual- inertial odometry

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.913092Z

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=2026-05-13T17:11:52.457688Z digest=sha256:ca7165cbb5e283876af7686f9d76899290bdfaf2180bb834ff553eed6c112d21

Observation 5feea8e6-9a05-4828-9c5b-7703fa97fb51 · outbound

This paper cites Fast-lio2: Fast direct lidar-inertial odometry.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Fast-lio2: Fast direct lidar-inertial odometry

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.907503Z

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=2026-05-13T17:11:52.457688Z digest=sha256:0dabc33cf0fb777478bf26c92841c560f0a893a70442166dcc8c15c41e49bf67

Observation db6eb6f1-de60-4071-9e31-5db8f4bad275 · outbound

This paper cites Efficient and probabilistic adaptive voxel mapping for accurate online lidar odometry.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Efficient and probabilistic adaptive voxel mapping for accurate online lidar odometry

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.911327Z

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=2026-05-13T17:11:52.457688Z digest=sha256:a8ec0d563b0b4c23b2fdec4da028cc3b91c3a4f97a28dcf7d5ecbbb7dde111cc

Observation e0501db9-affd-49ee-ac95-e7d17dfd9fef · outbound

This paper cites Cte-mlo: Continuous-time and efficient multi-lidar odometry with localizability-aware point cloud sampling.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Cte-mlo: Continuous-time and efficient multi-lidar odometry with localizability-aware point cloud sampling

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.891601Z

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=2026-05-13T17:11:52.457688Z digest=sha256:b91aec16600558ce801744a7c34529ab5789797891f2ff62c60f5a1d14f2b40e

Observation 27a597f4-0a00-45e1-9902-a1804b7308b4 · outbound

This paper cites Cta-lo: Accurate and robust lidar odometry using continuous-time adaptive estimation.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Cta-lo: Accurate and robust lidar odometry using continuous-time adaptive estimation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.895491Z

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=2026-05-13T17:11:52.457688Z digest=sha256:a154fd0192a4ec55bbb7576ab4a59e57fc7c1aac6f6741cfb83d15544373ee92

Observation 5a58f621-77e4-4d58-b933-0211e79139ef · outbound

This paper cites A lidar-inertial odometry with principled un- certainty modeling.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping A lidar-inertial odometry with principled un- certainty modeling

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.941697Z

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=2026-05-13T17:11:52.457688Z digest=sha256:15b3350649470d450640fd39483694fc0d4ef60239324403c2ccf1847d0560d5

Observation 69785291-32e1-49bc-bb5d-c9d35f5dc6a0 · outbound

This paper cites Log- lio2: A lidar-inertial odometry with efficient uncertainty analysis.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Log- lio2: A lidar-inertial odometry with efficient uncertainty analysis

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.899598Z

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=2026-05-13T17:11:52.457688Z digest=sha256:b70b84ca0b0f7346584ecc5e9b6b39fc408d7598b8c8b6a285da02c913753066

Observation 2b3e6a96-33b8-4c4e-b7a4-67fd20c3382f · outbound

This paper cites Pixel-level extrinsic self cal- ibration of high resolution lidar and camera in targetless environments.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Pixel-level extrinsic self cal- ibration of high resolution lidar and camera in targetless environments

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.901790Z

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=2026-05-13T17:11:52.457688Z digest=sha256:0d80078c86083f5277dc832bda96dc705a5cfc89fb05cd3ec3a1874a5aa2828b

Observation 83ed9c5d-4fa1-40f2-814b-e1fa95f1b283 · outbound

This paper cites X-icp: Localizability-aware lidar registration for robust localization in extreme environments.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping X-icp: Localizability-aware lidar registration for robust localization in extreme environments

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.838639Z

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=2026-05-13T17:11:52.457688Z digest=sha256:046d06ef8af29188d4e42463f7201d210a673946db1e6ac6598a526400dda136

Observation 085f4bb2-852c-4f84-999a-1fbb71fb36f6 · outbound

This paper cites Balm: Bundle adjustment for lidar mapping.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Balm: Bundle adjustment for lidar mapping

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.836469Z

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=2026-05-13T17:11:52.457688Z digest=sha256:8b652cafccf27ee0536da02f7971e621e536ddcc6fc51be5d3294ed911194b66

Observation 104e4bfc-14f5-4c63-b3f2-f53f5c693a87 · outbound

This paper cites Hierarchical distribution- based tightly-coupled lidar inertial odometry.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Hierarchical distribution- based tightly-coupled lidar inertial odometry

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.851050Z

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=2026-05-13T17:11:52.457688Z digest=sha256:d2edb5f76d14ad017c89287f2027902d1cb15c62a90804912977fd41a69a72fd

Observation 932c1a6d-3f0d-443d-9d41-457f25550af0 · outbound

This paper cites 3dmndt: 3d multi-view registration method based on the normal distributions transform.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping 3dmndt: 3d multi-view registration method based on the normal distributions transform

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.840670Z

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=2026-05-13T17:11:52.457688Z digest=sha256:50a63dd5010ade453376be26f6a74c5c4d833593ed394d67b116c30c13de6d5b

Observation 0874fc9e-c789-4311-9210-3caad9f16207 · outbound

This paper cites The normal distributions transform: a new approach to laser scan matching.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping The normal distributions transform: a new approach to laser scan matching

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.849092Z

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=2026-05-13T17:11:52.457688Z digest=sha256:8517eeb5927266a15641fa088dfaab6e3047a5c3650c7d8bf151f92157fd7143

Observation df2d3c52-c255-4324-9495-72e2bcd7a32e · outbound

This paper cites Point-lio: robust high-bandwidth light detection and ranging inertial odometry.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Point-lio: robust high-bandwidth light detection and ranging inertial odometry

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.842570Z

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=2026-05-13T17:11:52.457688Z digest=sha256:2e5ce56ccdea60226bdedf141cbf60ce0740c22f6edd36fc7ec6783d395026aa

Observation 113e265e-52a2-4eb1-ac84-2a2bb291deab · outbound

This paper cites Maximum correntropy kalman filter.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Maximum correntropy kalman filter

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.845007Z

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=2026-05-13T17:11:52.457688Z digest=sha256:d42fadcea11bd9f7491e8c9dda7803dfdbf35b3254ae59a0c1985159ce5ad11b

Observation 079bee69-8386-4b0e-9a52-50b805fb2847 · outbound

This paper cites evo: Python package for the evaluation of odometry and slam.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping evo: Python package for the evaluation of odometry and slam

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T17:13:01.847118Z

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=2026-05-13T17:11:52.457688Z digest=sha256:5d2ff271a730bb8ca8993b1ad4bb4fa4f43a578cab5cc9ba705e2066ba07412c

Pith citing papers

No inbound Pith citation observations are available.