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Paper Citation Record · LEDGER

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots

As of 20 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2412.08096.

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

pith.paper-citation-record.v1
2412.08096 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:18:56.043681Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

62 of 62 outbound references displayed

  • verified exact2
  • verified fuzzy43
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 906d726d-96b2-41bb-8676-0eb5a5b009ff · outbound

This paper cites Planning-oriented autonomous driving,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Planning-oriented autonomous driving,

Reference 1

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no resolver link, observed 2026-08-11T18:18:55.731211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 712e7aa8-7fb4-4954-aff4-15961015c5b6 · outbound

This paper cites Human-aware robot navigation: A survey,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Human-aware robot navigation: A survey,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation a76c1fdb-e284-4533-9753-3e3a118bfd73 · outbound

This paper cites Online monitoring for safe pedestrian-vehicle interactions,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Online monitoring for safe pedestrian-vehicle interactions,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 94ac8a20-8cc0-44fe-9b0a-2513d3b2cbce · outbound

This paper cites A category-level 3-d object dataset: Putting the kinect to work,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots A category-level 3-d object dataset: Putting the kinect to work,

Reference 4

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raw_fallback, observed 2026-08-11T18:18:57.477999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 49af8d76-bdd7-4740-a18a-371d438df9fd · outbound

This paper cites Indoor segmen- tation and support inference from rgbd images,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Indoor segmen- tation and support inference from rgbd images,

Reference 5

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raw_fallback, observed 2026-08-11T18:18:57.460758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 31631d56-df07-4e2d-964e-29b4196a5763 · outbound

This paper cites Sun3d: A database of big spaces reconstructed using sfm and object labels,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Sun3d: A database of big spaces reconstructed using sfm and object labels,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:57.445642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation fd1c10b6-1481-4046-8487-050be5726d1d · outbound

This paper cites Joint 2D-3D-Semantic Data for Indoor Scene Understanding.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Joint 2D-3D-Semantic Data for Indoor Scene Understanding

Reference 7

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unresolved
no resolver link, observed 2026-08-11T18:18:55.762516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:18:55.762516Z digest=sha256:e90f3bafe95a74891907443f461b2ec376304cd2b7942a2b576de926d7472914

Observation e1bac6dd-b9ca-468b-b6f5-3aab8b6fb859 · outbound

This paper cites SceneNet RGB-D: 5M Photorealistic Images of Synthetic Indoor Trajectories with Ground Truth.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots SceneNet RGB-D: 5M Photorealistic Images of Synthetic Indoor Trajectories with Ground Truth

Reference 8

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no resolver link, observed 2026-08-11T18:18:55.768110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:18:55.768110Z digest=sha256:6c867d4f01b2b3ca41c2be775480274fd0a3220dbd13fb4f74c89eb222e717fc

Observation ca7e9da6-d087-4aa9-b0bb-60eb016c6371 · outbound

This paper cites Sun rgb-d: A rgb-d scene understanding benchmark suite,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Sun rgb-d: A rgb-d scene understanding benchmark suite,

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-11T18:18:57.426544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T18:18:55.773670Z digest=sha256:d1574cd577512993d4dfea480ea42068ebaf2b5e29e1bd7eb0a046a9a1878a00

Observation 66848abd-0038-4a0d-a008-f938ab1907f8 · outbound

This paper cites Scannet: Richly-annotated 3d reconstructions of indoor scenes,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Scannet: Richly-annotated 3d reconstructions of indoor scenes,

Reference 10

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raw_fallback, observed 2026-08-11T18:18:57.408730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T18:18:55.779012Z digest=sha256:b957c6899c880c6bb27f4d44a43cac6cf0e0320a738a89ff1041b1870b0322d0

Observation ff1dc78b-b93c-48ca-b7f5-1f63dfe44cc3 · outbound

This paper cites Semantic scene completion from a single depth image,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Semantic scene completion from a single depth image,

Reference 11

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raw_fallback, observed 2026-08-11T18:18:57.390804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 36187bcf-dfb0-42c4-a35b-2a5dd4b28573 · outbound

This paper cites Matterport3d: Learning from rgb-d data in indoor environments,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Matterport3d: Learning from rgb-d data in indoor environments,

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-11T18:18:57.373144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T18:18:55.788821Z digest=sha256:350d2779c2402e406ccc230c5c73b4ab02122fcd619d3f56d8fd2a40d566d219

Observation 6c3e56d0-277f-4879-8bd1-4f7f33cc0d3a · outbound

This paper cites InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset

Reference 13

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no resolver link, observed 2026-08-11T18:18:55.793238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 699b2f4b-815e-4061-82e8-6383aadddc3e · outbound

This paper cites Arkitscenes: A diverse real-world dataset for 3d indoor scene understanding using mobile rgb-d data,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Arkitscenes: A diverse real-world dataset for 3d indoor scene understanding using mobile rgb-d data,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-11T18:18:57.351151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T18:18:55.798249Z digest=sha256:74db68ec3bedd70ac50362bb7a13d81f343960a71e47fb11209be1cdb2b10bd2

Observation 0b115cd9-e69b-4682-a300-5b2dc8e599b2 · outbound

This paper cites ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes

Reference 15

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unresolved
no resolver link, observed 2026-08-11T18:18:55.803463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8b2babbc-7f43-49bf-bd5d-5cb8e623e21a · outbound

This paper cites 3d object detection from images for autonomous driving: A survey,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots 3d object detection from images for autonomous driving: A survey,

Reference 16

Resolution
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raw_fallback, observed 2026-08-11T18:18:57.332591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T18:18:55.809211Z digest=sha256:71450a398900582d46efe73b2c7e73207f0b12323007ea2a5c653275ba7f5156

Observation e52cdf42-8209-43e1-848e-371c37cae524 · outbound

This paper cites Multi-modal 3d object detection in autonomous driving: a survey,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Multi-modal 3d object detection in autonomous driving: a survey,

Reference 17

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unresolved
no resolver link, observed 2026-08-11T18:18:55.814075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c10c4ea2-d946-4107-aa15-00e31834312e · outbound

This paper cites 3d object detection for autonomous driving: A comprehensive survey,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots 3d object detection for autonomous driving: A comprehensive survey,

Reference 18

Resolution
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no resolver link, observed 2026-08-11T18:18:55.819275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9cf1a4cf-99e9-4741-9d29-d1acb415ddfa · outbound

This paper cites Vision-based semantic segmentation in scene understanding for autonomous driving: Recent achievements, challenges, and outlooks,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Vision-based semantic segmentation in scene understanding for autonomous driving: Recent achievements, challenges, and outlooks,

Reference 19

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raw_fallback, observed 2026-08-11T18:18:57.286959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c2007386-c4a2-4fd1-b2f6-e39bb8cabd61 · outbound

This paper cites A survey on continual semantic segmentation: Theory, challenge, method and application,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots A survey on continual semantic segmentation: Theory, challenge, method and application,

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-11T18:18:57.270208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 7f29d18e-fcb7-459a-8157-437ff21831e2 · outbound

This paper cites Transformer-based visual segmentation: A survey,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Transformer-based visual segmentation: A survey,

Reference 21

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raw_fallback, observed 2026-08-11T18:18:57.192695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T18:18:55.835675Z digest=sha256:ebbacfa2d18266717a3ff11b2365fb9dec9d82a3119fdd3211916de0681c2c60

Observation 0248f1e7-4171-4555-8bab-78712e33e888 · outbound

This paper cites A survey on monocular re- localization: From the perspective of scene map representation,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots A survey on monocular re- localization: From the perspective of scene map representation,

Reference 22

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raw_fallback, observed 2026-08-11T18:18:57.155243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation efe29a20-7157-431a-8c8f-e612b3894991 · outbound

This paper cites Behavioral intention prediction in driving scenes: A survey,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Behavioral intention prediction in driving scenes: A survey,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:57.097379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 3103e896-712b-4c77-826a-0edde4b7f0af · outbound

This paper cites A survey on socially aware robot navigation: Taxonomy and future challenges,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots A survey on socially aware robot navigation: Taxonomy and future challenges,

Reference 24

Resolution
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raw_fallback, observed 2026-08-11T18:18:57.051685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 5c28ca6e-efea-4729-89f4-da6094395847 · outbound

This paper cites Conflict avoidance in social navigation—a survey,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Conflict avoidance in social navigation—a survey,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:57.022755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 968b73b6-0be8-46c4-a5a5-8faf3c72fc98 · outbound

This paper cites Mobile robot oriented large-scale indoor dataset for dynamic scene understanding,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Mobile robot oriented large-scale indoor dataset for dynamic scene understanding,

Reference 26

Resolution
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raw_fallback, observed 2026-08-11T18:18:57.001921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 1c35d7ce-4b09-42df-aa3a-d33029f1279a · outbound

This paper cites Crowds by example,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Crowds by example,

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-11T18:18:56.981589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T18:18:55.867329Z digest=sha256:e481c21210082667cae02fab6be86629cd912ee7f154eb745fcc4d61859ed04e

Observation 533bf2d4-2b0b-4275-a651-5b845c2f3559 · outbound

This paper cites You’ll never walk alone: Modeling social behavior for multi-target tracking,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots You’ll never walk alone: Modeling social behavior for multi-target tracking,

Reference 28

Resolution
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no resolver link, observed 2026-08-11T18:18:55.871936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fff92da5-f598-4688-a85b-7e634439ee90 · outbound

This paper cites Learning social etiquette: Human trajectory understanding in crowded scenes,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Learning social etiquette: Human trajectory understanding in crowded scenes,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:56.953559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T18:18:55.876975Z digest=sha256:ec07355cfe8893a2868c47a501d45214d966523be0790419cb8afda08172e357

Observation 2a3c9331-d8ad-4bd1-80b7-24bf7fbb9543 · outbound

This paper cites Person tracking in large public spaces using 3-d range sensors,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Person tracking in large public spaces using 3-d range sensors,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:56.860057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T18:18:55.881389Z digest=sha256:70e9702c79d4f8c850217e5a1de23de26331277850048d0dbca9a4298c9976cd

Observation c37cb511-a90f-4d4e-8eaa-4c5eaf98b08d · outbound

This paper cites Online learning for human classification in 3d lidar-based tracking,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Online learning for human classification in 3d lidar-based tracking,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:56.744617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T18:18:55.886012Z digest=sha256:8965d67090f201f8a92270aafbdadd4d69132da136c67c8df3b3dde86f8f4a12

Observation 56f78395-6b2e-4960-8fbc-4cf8c3195c8b · outbound

This paper cites Th ¨or: Human-robot navigation data collection and accurate motion trajectories dataset,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Th ¨or: Human-robot navigation data collection and accurate motion trajectories dataset,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:56.677439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T18:18:55.895250Z digest=sha256:17aef89db90350470d042822ac45a09797693a1c0d4b09877027dc43fb68773e

Observation 5e3dede9-f6fc-4f46-beb4-ddd24231e121 · outbound

This paper cites Self-supervised deep depth denoising,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Self-supervised deep depth denoising,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:56.660229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T18:18:55.900448Z digest=sha256:694618514dc43b39e80592ccd4c6d27dbc3f274b0379ef62744ae3dd7873c27e

Observation be53d5d2-c473-4417-a1f7-b5be6f4af048 · outbound

This paper cites A formal basis for the heuristic determination of minimum cost paths,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots A formal basis for the heuristic determination of minimum cost paths,

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T18:18:55.905598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:18:55.905598Z digest=sha256:df4dc9bde1049eaf4aa25323f484cb8b6e37a035b5ad4ee16b79bcef17659d30

Observation 7fbff9ea-cd56-4d38-8975-6528992e9281 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T18:18:55.911040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:18:55.911040Z digest=sha256:035130ba8ab3d2a9767921e9f100bf063e64861e98bcfdb24db712b43eff2944

Observation 90545049-0dd1-49ac-bbaf-bf855de5634f · outbound

This paper cites Imvotenet: Boosting 3d object detection in point clouds with image votes,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Imvotenet: Boosting 3d object detection in point clouds with image votes,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:56.620531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T18:18:55.916468Z digest=sha256:8b7572aa7e72a5a45b312109dd93979623470e67abdd08df2b2af03a7a615d4f

Observation 38aaf123-1d33-41b7-8182-6de3e7df1385 · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T18:18:55.921816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:18:55.921816Z digest=sha256:e6db17d969b0a687cf15b2ba9eca9f5f10b08aef00171787fcfeebf1f474e417

Observation 1722f4f4-1750-4892-8c15-30a2e7a7b22c · outbound

This paper cites Multimodal Token Fusion for Vision Transformers.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Multimodal Token Fusion for Vision Transformers

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-11T18:18:56.151377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T18:18:55.928021Z digest=sha256:fc83c02e52b250820addd5d5d549f1ca62d280f17e0386e3d838eab6d9556a54

Observation 122c8fbe-896a-4864-9e63-e517584d8cfb · outbound

This paper cites Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-11T18:18:56.126468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T18:18:55.934734Z digest=sha256:d75fb3b9cff03a5a47111fa7b584d24a6e5e045cf912025f7f13b868baa49966

Observation ace52ba8-a985-4a03-9ac0-d5845f989723 · outbound

This paper cites Frustum pointnets for 3d object detection from rgb-d data,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Frustum pointnets for 3d object detection from rgb-d data,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:56.603268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T18:18:55.940477Z digest=sha256:3b11b402ada0275e59ff4dc2a0d17721e5ec65e2888766833a53df7e5322ede8

Observation d3e67c78-0175-4597-be3f-81af07965c6d · outbound

This paper cites Boosting 3D Object Detection via Object-Focused Image Fusion.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Boosting 3D Object Detection via Object-Focused Image Fusion

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T18:18:55.945901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:18:55.945901Z digest=sha256:57008ceb59be5c41c8e50cc099bb8113d5e70f45325197bf90fe623aa163f311

Observation 00b99043-040a-4f31-afc7-ab83796fa867 · outbound

This paper cites A survey on image semantic segmentation methods with convolutional neural network,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots A survey on image semantic segmentation methods with convolutional neural network,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:56.584440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T18:18:55.950722Z digest=sha256:ea6574aedf9c2279c566cf43bcfa9706518bd02dfd3f26cc8ef746afa0e9f962

Observation 47072e99-7d13-4985-adcb-3a30f4cf1901 · outbound

This paper cites Rgb-d semantic segmentation: A review,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Rgb-d semantic segmentation: A review,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:56.558599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T18:18:55.955433Z digest=sha256:282a7dbc7f85e2e7ad3bf7194e3b0fa5631643f990a4d0ee5a466404d5dd81ee

Observation 6e3a3033-a47f-4b5b-9c89-ee2e67182731 · outbound

This paper cites A brief survey on rgb- d semantic segmentation using deep learning,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots A brief survey on rgb- d semantic segmentation using deep learning,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:56.531204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T18:18:55.959997Z digest=sha256:ee54851ddfdb908a9d01329f858b89c6724e7ca8f5db41f1f887619a6c5da7c9

Observation 68b6af22-83ed-45e7-9a75-b6e447c8c762 · outbound

This paper cites Acnet: Attention based network to exploit complementary features for rgbd semantic segmentation,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Acnet: Attention based network to exploit complementary features for rgbd semantic segmentation,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:56.510844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T18:18:55.964841Z digest=sha256:9c8fe77970b56526dcf3b44c4d0daaf01c6ad4dced94e52975ab127a80d8f65b

Observation 923c8a1e-7dc9-49bd-bbcb-ad5c90f93879 · outbound

This paper cites RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T18:18:55.969694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:18:55.969694Z digest=sha256:59a22c91ff18681667c86753f0521c9241bc12335fc2e85a618060a37b8b026a

Observation 4fa00bdd-1f56-47b8-bd4a-a93ba58f88e5 · outbound

This paper cites Efficient rgb-d semantic segmentation for indoor scene analysis,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Efficient rgb-d semantic segmentation for indoor scene analysis,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:56.487017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T18:18:55.974599Z digest=sha256:76d25327661ed84ae2926a11118a94dba6df719cb7f26118b2e075b7b8fe47d1

Observation 0803ac83-9b6f-47ff-b358-f7c1a8949460 · outbound

This paper cites Bi-directional cross-modality feature propagation with separation-and- aggregation gate for rgb-d semantic segmentation,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Bi-directional cross-modality feature propagation with separation-and- aggregation gate for rgb-d semantic segmentation,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:56.467414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T18:18:55.979177Z digest=sha256:09e2571dd79b46810ff9f86f43229586c83d3d9f1d02f2ddfab12d6a8bd370f7

Observation ddd5ab36-7e87-4fd2-9baf-eea3504c5391 · outbound

This paper cites Posenet: A convolutional network for real-time 6-dof camera relocalization,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Posenet: A convolutional network for real-time 6-dof camera relocalization,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:56.450211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T18:18:55.983953Z digest=sha256:de25d0a8b1e8a7ec955e97e78559f04fa7ae6ca0e5037118301cf474a17a93bd

Observation b44a478c-23ca-4d26-aa5a-d0724c41ca18 · outbound

This paper cites Visual place recognition with repetitive structures,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Visual place recognition with repetitive structures,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T18:18:55.988630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:18:55.988630Z digest=sha256:257367d6403d8a019b91df6e5511146bbe343c8eb00a93c26ebe5eb22da38d78

Observation 8b41ea04-c1af-4878-a38f-6ec9a74a0be1 · outbound

This paper cites Dfnet: Enhance absolute pose regression with direct feature matching,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Dfnet: Enhance absolute pose regression with direct feature matching,

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T18:18:55.993701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:18:55.993701Z digest=sha256:865e5621df29c588a5a16973676357083dec23824e301c8d3e69065f4a7d44a6

Observation dc4cddb5-032d-4a5e-bc8d-70fc8f3d2fc8 · outbound

This paper cites Netvlad: Cnn architecture for weakly supervised place recognition,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Netvlad: Cnn architecture for weakly supervised place recognition,

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-11T18:18:55.998178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:18:55.998178Z digest=sha256:07038fc5b804d6f9694abcf4973dcd690152e4e9612a738dbea3da2dee8b3d4e

Observation 1d71d1b3-7d8a-49eb-95b7-afb0dc0d5722 · outbound

This paper cites Featloc: Absolute pose regressor for indoor 2d sparse features with simplistic view synthesizing,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Featloc: Absolute pose regressor for indoor 2d sparse features with simplistic view synthesizing,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:56.392680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T18:18:56.002854Z digest=sha256:9623b330df79303407806a5c87ed605a04d7fad8344fce4b03974edd34b27408

Observation da1da7cf-50db-42ac-8671-72b758984d9c · outbound

This paper cites Social gan: Socially acceptable trajectories with generative adversarial networks,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Social gan: Socially acceptable trajectories with generative adversarial networks,

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T18:18:56.008480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:18:56.008480Z digest=sha256:ed9404113c001a89b1a6f2b01680af0435146935a9c5316367b5be1fab0953f8

Observation 1f3cf8a3-212f-4647-a576-01a901b0da96 · outbound

This paper cites Social-stgcnn: A social spatio-temporal graph convolutional neural network for human trajectory prediction,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Social-stgcnn: A social spatio-temporal graph convolutional neural network for human trajectory prediction,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:56.364147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T18:18:56.013211Z digest=sha256:242ca7e44020e7f2f12a83217bd1052af6a48726e3798bb691c7386b07233768

Observation 25945243-6526-43b8-afc5-626b80dc9a39 · outbound

This paper cites It is not the journey but the destination: Endpoint conditioned trajectory prediction,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots It is not the journey but the destination: Endpoint conditioned trajectory prediction,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:56.347098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T18:18:56.019407Z digest=sha256:38bb0f469741cdc1e0cdfef08c63d96bd3bb1b3b0d542ce40f81f625dc24c060

Observation b4349042-09bd-4bc3-af80-df97fe0277b6 · outbound

This paper cites Reciprocal n- body collision avoidance,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Reciprocal n- body collision avoidance,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:56.327679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T18:18:56.024247Z digest=sha256:d28b2a6e0a1d59c73ccee67658013526cd4520febde9bb0bda200d1a86b0950d

Observation a0078006-0c93-421f-81ac-4a472f417eca · outbound

This paper cites Decentralized structural-rnn for robot crowd navigation with deep reinforcement learning,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Decentralized structural-rnn for robot crowd navigation with deep reinforcement learning,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:56.307830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T18:18:56.028680Z digest=sha256:fa17b238173ba29b850c96660eec020cabddb4d157fc4a046e6749a551ab943a

Observation 7c234918-cf64-4949-93d1-1066285d51d7 · outbound

This paper cites Intention aware robot crowd navigation with attention-based interaction graph,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Intention aware robot crowd navigation with attention-based interaction graph,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:56.288747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T18:18:56.034170Z digest=sha256:eb3768338ceb36571decc0609ed79ebfca8f5cd7d7fbef3d21cc648658b52fb7

Observation c5fa7b2b-7f90-4fdd-8b29-ff5eeade6b80 · outbound

This paper cites Robust, informative human-in-the-loop predictions via empirical reachable sets,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Robust, informative human-in-the-loop predictions via empirical reachable sets,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:56.272947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T18:18:56.038848Z digest=sha256:f93ad48a8cd652ff6ba704026d387c7f37b40c4ef24ce41a39004aeae8b0fb63

Observation f53026bc-86bd-4923-b70f-ad00ae628795 · outbound

This paper cites Unfreezing the robot: Navigation in dense, interacting crowds,.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Unfreezing the robot: Navigation in dense, interacting crowds,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:56.256366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T18:18:56.043681Z digest=sha256:3e9199629ed65e33654229bccca243c8f355366b286837af25c5e5e963a6d19a

Observation 16d3f90b-26f8-4645-b04a-25a9092f718e · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 4455393.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Available: https://api.semanticscholar.org/CorpusID: 4455393

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:56.695771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T18:18:55.890844Z digest=sha256:6edb11939befa0ec501432b35334642f15e2518bafdc41ea5dd0ead463221993

Pith citing papers

No inbound Pith citation observations are available.