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Paper Citation Record · LEDGER

CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception

As of 19 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2607.16154.

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

pith.paper-citation-record.v1
2607.16154 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T21:14:23.430575Z

measured 31 of 31 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

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Reference resolution

31 of 31 outbound references displayed

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Outbound references

Observation 4a75e4f4-85a1-4a07-a0d1-ba06b36f1b6b · outbound

This paper cites Vulnerable road user research plan,.

CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception Vulnerable road user research plan,

Reference 1

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source=pdf_text observed=2026-08-01T21:14:20.725766Z digest=sha256:bd40bfe4dc7db1fc77535ec32344f96d86b389685529c5f5f2783d8d29a029b7

Observation 4e79e2cb-eaa2-4d63-8477-c45623fb905d · outbound

This paper cites Fatality facts 2023: State by state,.

CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception Fatality facts 2023: State by state,

Reference 2

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Observation aa66dea4-7c60-480b-a0e9-9288df6da72f · outbound

This paper cites Vulnerable road user detection and safety enhancement: A comprehensive survey,.

CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception Vulnerable road user detection and safety enhancement: A comprehensive survey,

Reference 3

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Observation 59380fa3-ac2d-40b0-94d6-f40b49fb68fe · outbound

This paper cites Multi-view 3d object detection network for autonomous driving,.

CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception Multi-view 3d object detection network for autonomous driving,

Reference 4

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Observation 5d5c0222-e24c-4e4c-a1f6-0da9b1609745 · outbound

This paper cites Multimodal virtual point 3d detection,.

CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception Multimodal virtual point 3d detection,

Reference 5

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Observation 5ff55162-4779-4c12-91f5-df329ca9f737 · outbound

This paper cites Infradet3d: Multi-modal 3d object detection based on roadside infrastructure camera and lidar sensors,.

CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception Infradet3d: Multi-modal 3d object detection based on roadside infrastructure camera and lidar sensors,

Reference 6

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Observation 874ed7ea-e735-49bb-b0b2-4564b16b5820 · outbound

This paper cites Rp3d: A roadside perception framework for 3d object detection via multi-view sensor fusion,.

CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception Rp3d: A roadside perception framework for 3d object detection via multi-view sensor fusion,

Reference 7

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Observation 10d1c504-70c0-4aa5-b557-2d045c831c42 · outbound

This paper cites Vips: Real-time perception fusion for infrastructure-assisted autonomous driv- ing,.

CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception Vips: Real-time perception fusion for infrastructure-assisted autonomous driv- ing,

Reference 8

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source=pdf_text observed=2026-08-01T21:14:21.371219Z digest=sha256:7d702c5e4fc5d9306d0e733d2bf9174cc83a5c7a9529711e2940c2c14ee30992

Observation 2f6c1df2-a092-488c-8728-d0facb0dd7e4 · outbound

This paper cites Clocs: Camera-lidar object candi- dates fusion for 3d object detection,.

CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception Clocs: Camera-lidar object candi- dates fusion for 3d object detection,

Reference 9

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source=pdf_text observed=2026-08-01T21:14:21.454064Z digest=sha256:20f37be885a312c39bc47ec4a62c9ef15da569344bfb1e3feaa6b82d510dad0b

Observation a4b69d04-4fa1-445a-b798-03c0aac195e7 · outbound

This paper cites Multi-task multi- sensor fusion for 3d object detection,.

CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception Multi-task multi- sensor fusion for 3d object detection,

Reference 10

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Observation 9763784f-795a-4bcd-99a2-3a52980ecf99 · outbound

This paper cites Multi-sensor fusion for multi- target detection and tracking,.

CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception Multi-sensor fusion for multi- target detection and tracking,

Reference 11

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Observation 7c756ee0-2ee9-4aeb-b4d6-8f86814d2ba9 · outbound

This paper cites Survey of extrinsic calibration on lidar-camera system for intelligent vehicle: Challenges, approaches, and trends,.

CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception Survey of extrinsic calibration on lidar-camera system for intelligent vehicle: Challenges, approaches, and trends,

Reference 12

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Observation d4702338-7c37-4700-9e7e-3956c7c9622e · outbound

This paper cites Automatic targetless lidar–camera calibration: a survey,.

CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception Automatic targetless lidar–camera calibration: a survey,

Reference 13

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Observation 507af917-4304-4992-9fb1-517e86f48a95 · outbound

This paper cites Real time object detection using lidar and camera fusion for autonomous driving,.

CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception Real time object detection using lidar and camera fusion for autonomous driving,

Reference 14

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Observation f2538874-d362-404f-8722-cff8bdc0148a · outbound

This paper cites BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation.

CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

Reference 15

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Observation 49f5d086-2116-4d27-b3ca-04794cf83ecb · outbound

This paper cites Deep structural information fusion for 3d object detection on lidar–camera system,.

CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception Deep structural information fusion for 3d object detection on lidar–camera system,

Reference 16

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Observation b182d3c7-1a26-404d-bf14-676257a395e4 · outbound

This paper cites Fast-clocs: Fast camera-lidar object candidates fusion for 3d object detection,.

CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception Fast-clocs: Fast camera-lidar object candidates fusion for 3d object detection,

Reference 17

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Observation 8b31b488-ae22-4586-9f38-955be3df67d6 · outbound

This paper cites Infrastructure-assisted 3d detection networks based on camera-lidar early fusion strategy,.

CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception Infrastructure-assisted 3d detection networks based on camera-lidar early fusion strategy,

Reference 18

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Observation 2f019c79-1ec3-4cae-b41f-23732abb6e04 · outbound

This paper cites Ouster BlueCity: AI-Driven Lidar for Smarter Cities,.

CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception Ouster BlueCity: AI-Driven Lidar for Smarter Cities,

Reference 19

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Observation 6df604be-3f65-4ef5-8ddd-ae2e841ee8dd · outbound

This paper cites Computer Vision Annotation Tool (CV AT),.

CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception Computer Vision Annotation Tool (CV AT),

Reference 20

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Observation 19b0a574-d84a-42d1-8130-9a5f1011ebe0 · outbound

This paper cites Sustech points: A portable 3d point cloud interactive annotation platform system,.

CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception Sustech points: A portable 3d point cloud interactive annotation platform system,

Reference 21

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Observation 1ffb7a9e-b17d-4003-846f-443207fee7b6 · outbound

This paper cites NVIDIA TensorRT: High-Performance Deep Learning Inference SDK,.

CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception NVIDIA TensorRT: High-Performance Deep Learning Inference SDK,

Reference 22

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Observation deabac37-15e8-49dd-b337-62d56087a8d2 · outbound

This paper cites YOLOv11: An Overview of the Key Architectural Enhancements.

CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception YOLOv11: An Overview of the Key Architectural Enhancements

Reference 23

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Observation 42dd8eb5-587d-4f85-8c40-08485367386b · outbound

This paper cites Bytetrack: Multi-object tracking by associating every detection box,.

CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception Bytetrack: Multi-object tracking by associating every detection box,

Reference 24

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Observation d97ead14-0bc1-4a62-959b-aed72f364e6c · outbound

This paper cites BoT-SORT: Robust Associations Multi-Pedestrian Tracking.

CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception BoT-SORT: Robust Associations Multi-Pedestrian Tracking

Reference 25

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Observation 9916236b-9ae4-4aba-bf7c-34ecaa96bc85 · outbound

This paper cites CalibRefine: Deep Learning-Based Online Automatic Targetless LiDAR-Camera Calibration with Iterative and Attention-Driven Post-Refinement.

CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception CalibRefine: Deep Learning-Based Online Automatic Targetless LiDAR-Camera Calibration with Iterative and Attention-Driven Post-Refinement

Reference 26

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Observation d64523d6-9bf6-41f6-948c-ce4645fc9423 · outbound

This paper cites Pointpillars: Fast encoders for object detection from point clouds,.

CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception Pointpillars: Fast encoders for object detection from point clouds,

Reference 27

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Observation b792c655-6b91-46e3-8051-c3224ac2dac7 · outbound

This paper cites Lidar AI Solution,.

CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception Lidar AI Solution,

Reference 28

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Observation 2a2fb4e8-91d3-4a4e-8cc7-e530c6318097 · outbound

This paper cites AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics.

CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics

Reference 29

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Observation 84a01923-5915-42ac-807f-9a5ed28f0c81 · outbound

This paper cites Urbaning- v2x: A large-scale multi-vehicle, multi-infrastructure dataset across multiple intersections for cooperative perception,.

CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception Urbaning- v2x: A large-scale multi-vehicle, multi-infrastructure dataset across multiple intersections for cooperative perception,

Reference 30

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Observation 464a948b-4a4c-475a-9f72-b54b22ccea40 · outbound

This paper cites R-LiViT: A LiDAR-Visual-Thermal Dataset Enabling Vulnerable Road User Focused Roadside Perception.

CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception R-LiViT: A LiDAR-Visual-Thermal Dataset Enabling Vulnerable Road User Focused Roadside Perception

Reference 31

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Pith citing papers

No inbound Pith citation observations are available.