Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception | Paper Citation Record

Observation 89455062-d65b-47c1-bce6-ba0421ca6b48 · outbound

This paper cites Collabo rative perception in autonomous driving: Methods, datasets, and c hallenges,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Collabo rative perception in autonomous driving: Methods, datasets, and c hallenges,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:59.340369Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 90b235fe-2a4b-4d56-926e-5c29b1dfea78 · outbound

This paper cites Lidar for autonomous drivin g: The principles, challenges, and trends for automotive lidar an d perception systems,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Lidar for autonomous drivin g: The principles, challenges, and trends for automotive lidar an d perception systems,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:59.324867Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e6674c5e-254b-4d51-8dfe-9a6ca7f4c730 · outbound

This paper cites Cooper: Cooperative perception for connected autonomous vehicles based on 3d point clouds,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Cooper: Cooperative perception for connected autonomous vehicles based on 3d point clouds,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:59.307905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 915b0853-4ef2-40d6-add0-e631db84c325 · outbound

This paper cites Learning distilled collaboration graph for multi-agent perception,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Learning distilled collaboration graph for multi-agent perception,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:59.291550Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation afd33fc6-117d-4721-929b-6a227e4ffdef · outbound

This paper cites V2x-v it: V ehicle-to-everything cooperative perception with visio n transformer,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception V2x-v it: V ehicle-to-everything cooperative perception with visio n transformer,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:59.275260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 704407e6-c882-45c8-8130-ce12b95f411c · outbound

This paper cites Core: Coo perative reconstruction for multi-agent perception,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Core: Coo perative reconstruction for multi-agent perception,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:59.257957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ee36f641-a1c0-4639-8494-f1f2905eb460 · outbound

This paper cites Learnin g for vehicle-to-vehicle cooperative perception under lossy co mmunication,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Learnin g for vehicle-to-vehicle cooperative perception under lossy co mmunication,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:59.241941Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f8f0a12e-e660-4ba7-90b5-cd7db16d128e · outbound

This paper cites Semantic Communications: Principles and Challenges.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Semantic Communications: Principles and Challenges

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T23:33:58.104900Z

Source-reported events for the cited work

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Observation 3e99dffa-f94c-4da4-ae2c-25a04068f7b8 · outbound

This paper cites Semantic communications for fu ture internet: Fundamentals, applications, and challenges,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Semantic communications for fu ture internet: Fundamentals, applications, and challenges,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:59.226424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation aa3c2384-4865-4e62-b129-923360a6bc20 · outbound

This paper cites Intelligent multi-modal sen sing- communication integration: Synesthesia of machines,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Intelligent multi-modal sen sing- communication integration: Synesthesia of machines,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:59.210902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d65c6c1a-53d0-44cf-b731-87ba0370aa2f · outbound

This paper cites A lite distributed semantic communic ation system for internet of things,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception A lite distributed semantic communic ation system for internet of things,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:59.194512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a91ff832-943f-4432-ba28-f81fc223ea26 · outbound

This paper cites Deep learning e nabled semantic communication systems,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Deep learning e nabled semantic communication systems,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:59.176249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation db2a4d09-e916-4329-a886-7aa20d3438bd · outbound

This paper cites Performa nce limits of a deep learning-enabled text semantic communicat ion under interference,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Performa nce limits of a deep learning-enabled text semantic communicat ion under interference,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:59.159946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ba60ea61-8d0e-4391-a4a1-4d64d2e5a674 · outbound

This paper cites Deep jo int source- channel coding for wireless image transmission,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Deep jo int source- channel coding for wireless image transmission,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:59.142386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6d7dcc1d-f8d2-42a3-8bbd-ce4532e8eeb1 · outbound

This paper cites W ireless image transmission using deep source channel coding with at tention modules,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception W ireless image transmission using deep source channel coding with at tention modules,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:59.126285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 24a0c329-b2d4-4de2-a860-64eb750b82a1 · outbound

This paper cites WIT T: A wireless image transmission transformer for semantic comm unications,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception WIT T: A wireless image transmission transformer for semantic comm unications,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:59.110349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ea0ac064-3203-47af-b5a3-f34dbdb6caad · outbound

This paper cites Task-oriented explainable semantic commun ications,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Task-oriented explainable semantic commun ications,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T23:33:58.160207Z

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Unavailable: canonical work link unavailable.

Observation 80d7fcea-dc2e-430d-849f-ff21910a01c6 · outbound

This paper cites Classiﬁcation-oriented semant ic wireless com- munications,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Classiﬁcation-oriented semant ic wireless com- munications,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:59.083493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d6dc6118-6946-448d-bca0-3be977dae030 · outbound

This paper cites Classiﬁcation-driven discrete neural represen tation learning for semantic communications,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Classiﬁcation-driven discrete neural represen tation learning for semantic communications,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:59.067859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ea12a287-4bc2-43cd-9bb3-ee3d93b12f76 · outbound

This paper cites Semantic communications with di screte-time analog transmission: A papr perspective,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Semantic communications with di screte-time analog transmission: A papr perspective,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:59.051784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 94149485-83e1-4890-9db1-751353b7395a · outbound

This paper cites Google/draco: a library for compressing and decompressin g 3d geo- metric meshes and point clouds,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Google/draco: a library for compressing and decompressin g 3d geo- metric meshes and point clouds,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:59.035170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f2c92a20-b506-4cb2-8a7c-c88826eabebf · outbound

This paper cites An overview of ongoing point cloud compressi on stan- dardization activities: Video-based (v-pcc) and geometry -based (g-pcc),.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception An overview of ongoing point cloud compressi on stan- dardization activities: Video-based (v-pcc) and geometry -based (g-pcc),

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:59.019026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e27740f9-0172-422a-8f78-6035b0c88ad5 · outbound

This paper cites Geometric modeling using octree encoding ,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Geometric modeling using octree encoding ,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:59.002252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cd2704ff-753c-4d6b-b898-d9c9875b8bb0 · outbound

This paper cites Multidimensional binary search trees u sed for associative searching,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Multidimensional binary search trees u sed for associative searching,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:58.986199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 21768586-2c14-4d6a-9014-eea8f1c62cf6 · outbound

This paper cites Pointnet: Deep le arning on point sets for 3d classiﬁcation and segmentation,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Pointnet: Deep le arning on point sets for 3d classiﬁcation and segmentation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:58.970668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3de59619-d69f-4139-992a-7f1fe4f9e986 · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:58.953657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cb8155af-d37d-4ad2-92b7-91e36821fdc6 · outbound

This paper cites Poin t transformer,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Poin t transformer,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:58.938089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 153805c0-7882-4bef-87e7-52b483586edf · outbound

This paper cites 3d point cloud geometry compressio n on deep learning,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception 3d point cloud geometry compressio n on deep learning,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:58.921708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b5bb46b1-8033-4a40-a4b5-cd9e9816d7a5 · outbound

This paper cites Transformer and ups ampling- based point cloud compression,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Transformer and ups ampling- based point cloud compression,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:58.905927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5c0bf19f-0037-4f94-845f-2fda924494e1 · outbound

This paper cites Deep compression for dense point cloud maps,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Deep compression for dense point cloud maps,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:58.887812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f881ea13-8d0e-44cb-940a-e9c4cb41df1d · outbound

This paper cites Octattention: O ctree-based large-scale contexts model for point cloud compression,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Octattention: O ctree-based large-scale contexts model for point cloud compression,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:58.751657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a028f2cc-1e82-41de-a841-3855be181c50 · outbound

This paper cites Densit y- preserving deep point cloud compression,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Densit y- preserving deep point cloud compression,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:58.733474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 39da360a-20e9-44d7-a050-f1fc15139c22 · outbound

This paper cites an unresolved cited work.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-04T23:33:58.716028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5ef377c6-23c3-4bd1-9da9-984c7c386404 · outbound

This paper cites Deep joint source-cha nnel coding for csi feedback: An end-to-end approach,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Deep joint source-cha nnel coding for csi feedback: An end-to-end approach,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:58.698783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c1c85e25-2619-4fc1-997d-ca094544baef · outbound

This paper cites Task-oriented multi-user semantic communications,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Task-oriented multi-user semantic communications,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:58.681884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation aebd676c-5f91-4ef1-9e8c-fe136bb89639 · outbound

This paper cites A uniﬁed multi- task semantic communication system with domain adaptation,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception A uniﬁed multi- task semantic communication system with domain adaptation,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:58.662733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4ce9952f-f3a8-44d0-8961-9ea0142f07ff · outbound

This paper cites Multi-modal fus ion- based multi-task semantic communication system,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Multi-modal fus ion- based multi-task semantic communication system,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T23:33:58.276396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea7d8b70-3588-4a9e-b704-9c51e2127f3d · outbound

This paper cites Wireless 3d point cloud delivery using deep graph neural networks,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Wireless 3d point cloud delivery using deep graph neural networks,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:58.644473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 52b867d2-9a8a-4adb-a79c-62fb91a7661f · outbound

This paper cites Semantic Communications System with Model Division Multiple Access and Controllable Coding Rate for Point Cloud.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Semantic Communications System with Model Division Multiple Access and Controllable Coding Rate for Point Cloud

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T23:33:58.286942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9569ce7-742a-4d5f-841d-98578464d5e4 · outbound

This paper cites Over-the-Air Learning-based Geometry Point Cloud Transmission.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Over-the-Air Learning-based Geometry Point Cloud Transmission

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-04T23:33:58.429827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c4337ec5-0502-4c98-be0d-7e947f7640fe · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception ShapeNet: An Information-Rich 3D Model Repository

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T23:33:58.296951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bf409cc-9943-4a42-b115-1ef62fc299c8 · outbound

This paper cites 3d shapenets: A deep representation for volumetric shapes,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception 3d shapenets: A deep representation for volumetric shapes,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:58.626279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 97e27de2-ea08-45b0-8d88-66955813d6e2 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T23:33:58.306737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45cf3324-2b14-498a-bf6c-a00ef33013bb · outbound

This paper cites Differentiable soft quantization: Bridging full-precis ion and low-bit neural networks,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Differentiable soft quantization: Bridging full-precis ion and low-bit neural networks,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:58.607625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 19c4baa7-60e6-41bd-8959-3f5345ee9bde · outbound

This paper cites Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T23:33:58.318779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcdc1960-0795-418b-b888-34afcd47f185 · outbound

This paper cites Opv2v: An open benchmark dataset and fusion pipeline for perception w ith vehicle- to-vehicle communication,.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Opv2v: An open benchmark dataset and fusion pipeline for perception w ith vehicle- to-vehicle communication,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:33:58.589297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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