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Paper Citation Record · LEDGER

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation

As of 20 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 0 inbound Pith citation observations for arXiv:2505.01615.

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

pith.paper-citation-record.v1
2505.01615 v1

Coverage vector

measured 82 of 82 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:18:46.067417Z

measured 82 of 82 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

82 of 82 outbound references displayed

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  • verified fuzzy48
  • unresolved32
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7ca0beaf-5fb0-43af-a8f9-91a4ceb957aa · outbound

This paper cites Vision-RADAR fusion for Robotics BEV Detections: A Survey,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Vision-RADAR fusion for Robotics BEV Detections: A Survey,

Reference 1

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Observation 33f8d6ef-b435-4097-9e54-b7c4f2ec0281 · outbound

This paper cites Real-time 360 degrees view for the operator of milliampere 2,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Real-time 360 degrees view for the operator of milliampere 2,

Reference 2

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Observation 0d1c1c85-e68c-4235-a8bc-5733a195294a · outbound

This paper cites Object detection based on multi- sensor proposal fusion in maritime environment,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Object detection based on multi- sensor proposal fusion in maritime environment,

Reference 3

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Observation 26eb9aab-3631-4300-bafb-c29bca830e7d · outbound

This paper cites Ship detection based on lidar and visual information fusion,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Ship detection based on lidar and visual information fusion,

Reference 4

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Observation a187603d-538a-40bd-9d62-217752b92170 · outbound

This paper cites Lidar-based simultaneous multi-object tracking and static mapping in nearshore scenario,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Lidar-based simultaneous multi-object tracking and static mapping in nearshore scenario,

Reference 5

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Observation 0736f2e2-6337-464c-af7e-53c4d407b2ee · outbound

This paper cites Comparison of multi-sensor fusion methods for maritime target object tracking,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Comparison of multi-sensor fusion methods for maritime target object tracking,

Reference 6

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Observation 6936c219-f8ce-4bba-bb12-03beadb0c657 · outbound

This paper cites An efficient multi-sensor fusion approach for object detection in maritime environments,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation An efficient multi-sensor fusion approach for object detection in maritime environments,

Reference 7

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

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Observation 6ab3fe92-b499-4eb3-aa17-71ad7f7469ca · outbound

This paper cites Multimodal perception for obstacle detection for flying boats-unmanned surface vehicle (usv),.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Multimodal perception for obstacle detection for flying boats-unmanned surface vehicle (usv),

Reference 8

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Observation 5ad5af50-c854-4b8e-8847-a5bfa742545b · outbound

This paper cites Sensor combinations in heterogeneous multi-sensor fusion for maritime target tracking,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Sensor combinations in heterogeneous multi-sensor fusion for maritime target tracking,

Reference 9

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Observation f441d040-7e1c-49aa-ba57-a7f1686d881b · outbound

This paper cites Stereo camera-based free space estimation for docking in urban waters,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Stereo camera-based free space estimation for docking in urban waters,

Reference 10

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Observation 7a1de628-9a31-4d8a-a10d-e0b3af66b6b9 · outbound

This paper cites Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers,

Reference 11

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Observation a9e7a7c1-22b0-440f-832b-6d71ac428de3 · outbound

This paper cites Petr: Position embedding trans- formation for multi-view 3d object detection,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Petr: Position embedding trans- formation for multi-view 3d object detection,

Reference 12

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Observation 69ad6ed8-03af-464f-9f6b-b53383775edc · outbound

This paper cites Cross-view Transformers for real-time Map-view Semantic Segmentation,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Cross-view Transformers for real-time Map-view Semantic Segmentation,

Reference 13

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Observation 4721a16f-16bf-430b-9ce7-e9f54b56be0d · outbound

This paper cites Cross-view Semantic Segmentation for Sensing Surroundings,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Cross-view Semantic Segmentation for Sensing Surroundings,

Reference 14

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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 ab7e81e1-f39a-4fa9-9d99-52a71cf9727b · outbound

This paper cites Orthographic Feature Trans- form for Monocular 3D Object Detection,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Orthographic Feature Trans- form for Monocular 3D Object Detection,

Reference 15

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

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Observation f7e9da4f-30e6-40b0-a060-1ebf1c424c88 · outbound

This paper cites Delving into the Devils of Bird’s-eye-view Perception: A Review, Evaluation and Recipe,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Delving into the Devils of Bird’s-eye-view Perception: A Review, Evaluation and Recipe,

Reference 16

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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 a3fb4076-7fdf-4311-91d8-3857b9553a15 · outbound

This paper cites Fcos3d: Fully convolutional one- stage monocular 3d object detection,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Fcos3d: Fully convolutional one- stage monocular 3d object detection,

Reference 17

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Observation 4a17d01c-c23b-41f1-9a6c-86cecd835974 · outbound

This paper cites Smoke: Single-stage monocular 3d object detection via keypoint estimation,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Smoke: Single-stage monocular 3d object detection via keypoint estimation,

Reference 18

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Observation eef85a32-6be1-4eab-a738-31d474972802 · outbound

This paper cites BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View

Reference 19

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Observation 7e431439-647f-47ce-a217-54697e2e9c6f · outbound

This paper cites Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation,

Reference 20

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Observation ab5b4a94-3207-4816-8969-b06222934184 · outbound

This paper cites A sim2real deep learning ap- proach for the transformation of images from multiple vehicle-mounted cameras to a semantically segmented image in bird’s eye view,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation A sim2real deep learning ap- proach for the transformation of images from multiple vehicle-mounted cameras to a semantically segmented image in bird’s eye view,

Reference 21

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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 cc5e4793-025a-49f8-8d95-b31a9f8495fa · outbound

This paper cites Fiery: Future instance prediction in bird’s- eye view from surround monocular cameras,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Fiery: Future instance prediction in bird’s- eye view from surround monocular cameras,

Reference 22

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Observation 403cd730-9ace-479f-bcf6-a9ca09a8291b · outbound

This paper cites Hdmapnet: An online hd map construction and evaluation framework,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Hdmapnet: An online hd map construction and evaluation framework,

Reference 23

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Observation 3c3cbe9d-4c97-49b7-8bcc-32bf900a99c7 · outbound

This paper cites Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d,

Reference 24

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Observation 38f032b6-bbed-4379-ab99-d61e8f1a5f10 · outbound

This paper cites St-p3: End-to-end vision-based autonomous driving via spatial-temporal feature learning,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation St-p3: End-to-end vision-based autonomous driving via spatial-temporal feature learning,

Reference 25

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

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Observation 5b140729-215c-4d95-9495-7eb7465f0896 · outbound

This paper cites Pv-rcnn: Point-voxel feature set abstraction for 3d object detection,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Pv-rcnn: Point-voxel feature set abstraction for 3d object detection,

Reference 26

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Observation 566f99a4-b502-4330-b3cb-ce6ed41b8ff0 · outbound

This paper cites Center-based 3d object detection and tracking,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Center-based 3d object detection and tracking,

Reference 27

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Observation ffeca389-f417-4b07-ac13-423b9458efc6 · outbound

This paper cites Embracing single stride 3d object detector with sparse transformer,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Embracing single stride 3d object detector with sparse transformer,

Reference 28

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Observation 18eba450-d6f6-4144-9b5d-dbaf8b373614 · outbound

This paper cites Afdetv2: Rethinking the necessity of the second stage for object detection from point clouds,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Afdetv2: Rethinking the necessity of the second stage for object detection from point clouds,

Reference 29

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Observation 962f4fcb-893b-4df6-aab3-bc891745c8ed · outbound

This paper cites Pyramid r-cnn: Towards better performance and adaptability for 3d object detection,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Pyramid r-cnn: Towards better performance and adaptability for 3d object detection,

Reference 30

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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 df33a7cc-8655-4c90-8e8a-7c19d24d0cac · outbound

This paper cites Mppnet: Multi-frame feature intertwining with proxy points for 3d temporal ob- ject detection,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Mppnet: Multi-frame feature intertwining with proxy points for 3d temporal ob- ject detection,

Reference 31

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

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Observation 8fc0fb71-5697-46fe-8031-a067b580e0b2 · outbound

This paper cites V oxelnet: End-to-end learning for point cloud based 3d object detection,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation V oxelnet: End-to-end learning for point cloud based 3d object detection,

Reference 32

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Observation de50c86b-8197-4c84-b922-2b5c42be205a · outbound

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

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Pointpillars: Fast encoders for object detection from point clouds,

Reference 33

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Observation b19d6e8d-3711-4131-b037-7a0d2e1b8ded · outbound

This paper cites Pointpainting: Se- quential fusion for 3d object detection,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Pointpainting: Se- quential fusion for 3d object detection,

Reference 34

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Observation 8740310f-4472-45dd-8016-a195e63703f6 · outbound

This paper cites Multimodal virtual point 3d detection,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Multimodal virtual point 3d detection,

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:18:44.947738Z digest=sha256:23203c154285fbed2cb42d26099af63c1e8d72b4200ae5564df6874cd7f395f0

Observation 207cbdc7-33a8-431a-a111-c46b5c9df131 · outbound

This paper cites AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-16T04:18:44.952511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:18:44.952511Z digest=sha256:3c60c78dcd7cc94ecd89e0b1fc727e97a21f2fa607596e59389e518c5f1a1f94

Observation cb37a065-363d-4a96-ae8a-7975084ba69d · outbound

This paper cites Deepfusion: Lidar-camera deep fusion for multi-modal 3d object detection,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Deepfusion: Lidar-camera deep fusion for multi-modal 3d object detection,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:18:47.536475Z

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=2026-08-16T04:18:44.957336Z digest=sha256:366c164e14c99e6b4ba2b15cb617bc0e2982d01189d3a51398bbdd4d9de84c91

Observation a02b0e8a-a3d2-453f-8666-46b4850cf43a · outbound

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

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird’s-Eye View Representation,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:18:47.521210Z

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=2026-08-16T04:18:44.962737Z digest=sha256:303d591bd72eb627d7da9cc39737e3d4b69e19aa9f169f3c74720ffbc8bd3042

Observation b53e6274-f98f-4709-bac8-5f7e49c04ca3 · outbound

This paper cites Rethinking imagenet pre-training,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Rethinking imagenet pre-training,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:18:47.476980Z

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=2026-08-16T04:18:44.967259Z digest=sha256:2edfbd71997d2cfb5a4d8b02785740a4e89a3b25b95ff46d6416fbb31ac5e82c

Observation 62ccc066-624c-47c3-a720-f1d6f7a068a4 · outbound

This paper cites Second: Sparsely embedded convolutional detection,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Second: Sparsely embedded convolutional detection,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-16T04:18:44.973080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:18:44.973080Z digest=sha256:56e51844f8b39eea38be5168b1a17d1e8a0637323b7040fc5e6ac1aad5c991df

Observation 27ffafa9-a42a-4eed-84cf-6620de517fd6 · outbound

This paper cites Structure aware single-stage 3d object detection from point cloud,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Structure aware single-stage 3d object detection from point cloud,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:18:47.368981Z

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=2026-08-16T04:18:44.977547Z digest=sha256:728fcb7f377e5bf218f5ae38fae840f1597d3cac17e7b99810287e1b12906f33

Observation 65b58865-4448-48bd-8e7f-8aa87104e4a4 · outbound

This paper cites V oxel transformer for 3d object detection,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation V oxel transformer for 3d object detection,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:18:47.353039Z

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=2026-08-16T04:18:44.981690Z digest=sha256:8f81c026d35bea8eb37802a7d9c601ce5a36de8b971f32b13c8d2c26833d3130

Observation 91d84d8c-0a68-4cb2-bb73-a161c2d88d2c · outbound

This paper cites Multi-View 3D Object Detection Network for Autonomous Driving,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Multi-View 3D Object Detection Network for Autonomous Driving,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:18:47.336310Z

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=2026-08-16T04:18:44.985819Z digest=sha256:759e5d92ed11eb9c624bd11ddc7b28d8aa8e6e79279c4cf2eefae8f5a8f0837a

Observation fcd90d4e-5bad-4bee-86b8-32d88bbd9761 · outbound

This paper cites Pixor: Real-time 3d object detection from point clouds,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Pixor: Real-time 3d object detection from point clouds,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-16T04:18:44.990651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:18:44.990651Z digest=sha256:8e5f54d1fa152844d5be5ad95f7a6862e0899af844d07c2ac6fa50e7cbc54db7

Observation e85b631f-7399-4624-92bf-3526f97e7ebb · outbound

This paper cites Hdnet: Exploiting hd maps for 3d object detection,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Hdnet: Exploiting hd maps for 3d object detection,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:18:47.310091Z

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=2026-08-16T04:18:44.994841Z digest=sha256:5c25d46e5ff95b0ccfbf7f45433413b90b27d6d186e0ac0ef873adc377e10e31

Observation 289b3ace-f705-455d-98e3-2b8273456cc5 · outbound

This paper cites Rt3d: Real- time 3-d vehicle detection in lidar point cloud for autonomous driving,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Rt3d: Real- time 3-d vehicle detection in lidar point cloud for autonomous driving,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:18:47.232486Z

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=2026-08-16T04:18:45.010635Z digest=sha256:bb064fd72229f888619ef5993b5e000d8e47f03b4bee6513b352b709e7cb983e

Observation 8a0ccfae-d017-4db5-9f5c-80bbe15f5ebd · outbound

This paper cites Yolo3d: End-to-end real-time 3d oriented object bounding box detection from lidar point cloud,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Yolo3d: End-to-end real-time 3d oriented object bounding box detection from lidar point cloud,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:18:47.187761Z

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=2026-08-16T04:18:45.087468Z digest=sha256:b025504d855df356c18d552b76a65a4f7e53d3baf0539d39d9b4d84d2acf33db

Observation 981d4e7c-804c-49a9-ab82-063521773334 · outbound

This paper cites Complex-yolo: An euler-region-proposal for real-time 3d object detection on point clouds,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Complex-yolo: An euler-region-proposal for real-time 3d object detection on point clouds,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:18:47.172635Z

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=2026-08-16T04:18:45.154812Z digest=sha256:2b3f32719f514699c20f55ecf455bdfa5dc79cb569ba88a65c1fa3e1de92c8b9

Observation d4ecd092-415a-475e-a62c-b8f31b4f0a5c · outbound

This paper cites Pointaugmenting: Cross-modal augmentation for 3d object detection,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Pointaugmenting: Cross-modal augmentation for 3d object detection,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:18:47.156734Z

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=2026-08-16T04:18:45.214973Z digest=sha256:1b5b7d0ac4b5fc20d138fa17d4c84e8dc611c9fd470ee06248f9ba3cdd1ad4a5

Observation e2838f46-1835-4214-9a5b-e54514192e21 · outbound

This paper cites Bevfusion: A simple and robust lidar-camera fusion framework,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Bevfusion: A simple and robust lidar-camera fusion framework,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:18:47.140079Z

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=2026-08-16T04:18:45.293948Z digest=sha256:b40425a1c859df06747ecb8fd948577bf51616a4253bf01dcf507f79211ffaad

Observation f9baf75c-63c5-4e30-b834-c67817cdfdb1 · outbound

This paper cites Unifying voxel-based representation with transformer for 3d object detection,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Unifying voxel-based representation with transformer for 3d object detection,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:18:47.084334Z

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=2026-08-16T04:18:45.299480Z digest=sha256:6ced8fa07f083ac579c192169d7e95e38d46841222e9743e75897a526a707938

Observation 9a061c22-d27a-4149-a8a6-1cc7c3bc2b2c · outbound

This paper cites Inverse perspective mapping simplifies optical flow computation and obstacle detection,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Inverse perspective mapping simplifies optical flow computation and obstacle detection,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:18:46.955611Z

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=2026-08-16T04:18:45.304790Z digest=sha256:6e92d15901c90d9f38e7df6dd3fe4e1d7b69bfcb6f2434452f1345c338e8e78f

Observation 0f7e7b32-35d3-4792-883f-3e8a1ea0170f · outbound

This paper cites 3D-LaneNet: End-to-End 3D Multiple Lane Detection.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation 3D-LaneNet: End-to-End 3D Multiple Lane Detection

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:18:46.940227Z

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=2026-08-16T04:18:45.309189Z digest=sha256:e9de190ffd92e654e141b1505154f9eabfa710d8abf5c13ed65eadb4ade825ff

Observation b10d603b-af22-4000-9753-e0f85f1fc537 · outbound

This paper cites Deep learning based vehicle position and orientation estimation via inverse perspective mapping image,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Deep learning based vehicle position and orientation estimation via inverse perspective mapping image,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:18:46.925647Z

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=2026-08-16T04:18:45.314026Z digest=sha256:732b039babb69a62f2c3a1626c88784000b2980d7d37f9b6650ce9dd7e71fe00

Observation 31e5b08f-f05a-4547-9141-76b92d6d02af · outbound

This paper cites Driving among Flatmobiles: Bird-Eye-View occupancy grids from a monocular camera for holistic trajectory planning.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Driving among Flatmobiles: Bird-Eye-View occupancy grids from a monocular camera for holistic trajectory planning

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:18:46.911342Z

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=2026-08-16T04:18:45.385948Z digest=sha256:6b8188cadc69d80e1da4c2829b3d55a75ba9cae87af31c1251bcc88c9ab41144

Observation 471342a8-a627-419b-adae-ff062e937946 · outbound

This paper cites Lift, Splat, Shoot: Encoding Images From Arbitrary Camera Rigs by Implicitly Unprojecting to 3D,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Lift, Splat, Shoot: Encoding Images From Arbitrary Camera Rigs by Implicitly Unprojecting to 3D,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:18:46.896676Z

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=2026-08-16T04:18:45.432574Z digest=sha256:1258f55f841f4f77b86220053c08fd54bcabe5524ab2b60b9cf2799d8a58997c

Observation c48dcdbb-3c89-4bc1-9ca2-81eaf618b46b · outbound

This paper cites Robust free area mapping for autonomous harbour navigation,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Robust free area mapping for autonomous harbour navigation,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:18:46.775869Z

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=2026-08-16T04:18:45.436808Z digest=sha256:bd34cb0cf25f0e9680da4bcc63e195db352b977b827798549542141c1fc631e8

Observation ebb396e1-d56f-4a13-8eb6-f37d930441fe · outbound

This paper cites Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-08-16T04:18:46.152523Z

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=2026-08-16T04:18:45.441399Z digest=sha256:0ce6a8adf75bed9b8157c12a6df3b354c9c715d65d89ef69055fa53f4924406a

Observation f829d938-b800-4afc-b2cb-39b8a4382981 · outbound

This paper cites Categorical Depth Distribution Network for Monocular 3D Object Detection.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Categorical Depth Distribution Network for Monocular 3D Object Detection

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-08-16T04:18:46.130845Z

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=2026-08-16T04:18:45.446023Z digest=sha256:2e81976a78d2b65622e4fd7d7767989145f7ce0b4b0bcc133bfb66f5b270bbe8

Observation 36cdc8c2-7fa9-4e1b-8c94-155d082d999c · outbound

This paper cites Bevdepth: Acquisition of reliable depth for multi-view 3d object detec- tion,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Bevdepth: Acquisition of reliable depth for multi-view 3d object detec- tion,

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-16T04:18:45.450948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:18:45.450948Z digest=sha256:8fad173cca068f39c7d4716d5eb6937cae8330991bcd9043c7e8e8df469383ab

Observation e8b6ad17-d127-4d93-bf1c-0bac5681ace3 · outbound

This paper cites Liga-stereo: Learning lidar geometry aware representations for stereo-based 3d detector,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Liga-stereo: Learning lidar geometry aware representations for stereo-based 3d detector,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:18:46.750777Z

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=2026-08-16T04:18:45.455044Z digest=sha256:5965395737333a77ca68d4b0b6058d4639df1e47c433b9e50127c62d555a0cbf

Observation 5fb66505-96d1-41cd-bb1a-a7b4b45e7cc8 · outbound

This paper cites Is pseudo lidar needed for monocular 3d object detection,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Is pseudo lidar needed for monocular 3d object detection,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:18:46.735287Z

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=2026-08-16T04:18:45.460281Z digest=sha256:b72fa6905e3820134a04504cea49e57ee4f6f479bf8ce14e35e6d44b27b585d6

Observation ee111ee5-b8ce-48a3-b7e3-ecaaf021891e · outbound

This paper cites Dsgn: Deep stereo geometry network for 3d object detection,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Dsgn: Deep stereo geometry network for 3d object detection,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:18:46.719774Z

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=2026-08-16T04:18:45.464485Z digest=sha256:08865eb065d4bb9808ad67a5e3a744863d9ae39c8c29b233e39ee9b1db588bbe

Observation a5c814c6-ac97-417b-b4a1-ed47a6fc0130 · outbound

This paper cites Translating images into maps,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Translating images into maps,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:18:46.703939Z

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=2026-08-16T04:18:45.468707Z digest=sha256:9fa61eec7af835d3d86a662feb26b607f6a42e2b75b9633201f97587ab0b4138

Observation c6f4343a-eb5b-441d-96ff-a85bc49ac53f · outbound

This paper cites Cross-view semantic segmentation for sensing surroundings,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Cross-view semantic segmentation for sensing surroundings,

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-16T04:18:45.473275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:18:45.473275Z digest=sha256:90fdb84187c49e0bd204393c7be5da61e3f9e8d9aed101a619c1cb634113856f

Observation 81b2bdb8-db77-4957-9424-a144a8c39568 · outbound

This paper cites Attention is all you need,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Attention is all you need,

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-16T04:18:45.477724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:18:45.477724Z digest=sha256:34c1a71517f758627c4d0436f213a294444e48b9a85a7238d3191602385513ef

Observation 64c08d95-a881-465c-ba5b-c6aa6dd1c7d8 · outbound

This paper cites Simple- BEV: What Really Matters for Multi-Sensor BEV Perception?.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Simple- BEV: What Really Matters for Multi-Sensor BEV Perception?

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:18:46.665933Z

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=2026-08-16T04:18:45.482095Z digest=sha256:0036007cca0585bee5b13d35185e0a14be072eae978bfa7d89def4387e4da98c

Observation 68653a78-6f9b-4285-b693-89fb8c96ad24 · outbound

This paper cites HDMapNet: An Online HD Map Construction and Evaluation Framework,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation HDMapNet: An Online HD Map Construction and Evaluation Framework,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:18:46.543790Z

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=2026-08-16T04:18:45.545040Z digest=sha256:ad51a2bc0719785c7350423498b8af627dab1a5ea4f1b2d3057abac8c4d3ed49

Observation cae99011-c2f2-4d19-9cdd-b0e5c77e8981 · outbound

This paper cites PETR: Position Embedding Transformation for Multi-View 3D Object Detection,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation PETR: Position Embedding Transformation for Multi-View 3D Object Detection,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:18:46.481615Z

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=2026-08-16T04:18:45.610651Z digest=sha256:d68ab7906aa15e3d47a753bffe7dc48bbf3ecc3e4810b7a619be4ad5a10de855

Observation 648aac4f-7db6-4d79-a297-db1d1a26d1bc · outbound

This paper cites Focal loss for dense object detection,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Focal loss for dense object detection,

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-16T04:18:45.695079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5cbd9fb4-3558-4e03-b8e2-168ad0a69579 · outbound

This paper cites Birdnet: a 3d object detection framework from 14 lidar information,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Birdnet: a 3d object detection framework from 14 lidar information,

Reference 71

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

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Observation 6377eb36-520b-4cbc-b6ef-5b489e9bf699 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation U-net: Convolutional networks for biomedical image segmentation,

Reference 72

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Observation 2568969f-773e-4171-9b6c-26537a78b2e3 · outbound

This paper cites Fishing net: Future inference of semantic heatmaps in grids,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Fishing net: Future inference of semantic heatmaps in grids,

Reference 73

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Observation fcc40c19-4b8d-4b32-8a23-2ba37e1e17e0 · outbound

This paper cites Are Transformers universal approximators of sequence-to-sequence functions?.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Are Transformers universal approximators of sequence-to-sequence functions?

Reference 74

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

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Observation 65cd2da5-5514-4dd1-8833-47c7181f17e4 · outbound

This paper cites Unifusion: unified multi- view fusion transformer for spatial-temporal representation in bird’s-eye- view,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Unifusion: unified multi- view fusion transformer for spatial-temporal representation in bird’s-eye- view,

Reference 75

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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 cd207a38-44e8-455f-b358-2f7b34ab9345 · outbound

This paper cites BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving,

Reference 76

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verified fuzzy
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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 09e645df-70b4-4396-b585-3467a534cf0b · outbound

This paper cites Efficientnet: Rethinking model scaling for con- volutional neural networks,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Efficientnet: Rethinking model scaling for con- volutional neural networks,

Reference 77

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unresolved
no resolver link, observed 2026-08-16T04:18:45.782571Z

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Observation 7ab088b5-3a50-4048-8b13-c14a9b966225 · outbound

This paper cites Bevformer v2: Adapting modern image backbones to bird’s-eye-view recognition via perspective supervision,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Bevformer v2: Adapting modern image backbones to bird’s-eye-view recognition via perspective supervision,

Reference 78

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no resolver link, observed 2026-08-16T04:18:45.787559Z

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Observation 8348824f-9c35-40ec-a47f-5a08bd2dc967 · outbound

This paper cites Simple- bev: What really matters for multi-sensor bev perception?.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Simple- bev: What really matters for multi-sensor bev perception?

Reference 79

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Observation f7db9097-df93-476e-a48c-9db7c539d707 · outbound

This paper cites Decoupled Weight Decay Regularization.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Decoupled Weight Decay Regularization

Reference 80

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no resolver link, observed 2026-08-16T04:18:45.880806Z

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Observation 4976e5b6-d554-47fd-b362-3e413998c95c · outbound

This paper cites Super-convergence: Very fast training of neural networks using large learning rates,.

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Super-convergence: Very fast training of neural networks using large learning rates,

Reference 81

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Observation ebe622fa-c12d-491b-b187-3b1d4f345b44 · outbound

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

Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Deformable DETR: Deformable Transformers for End-to-End Object Detection,

Reference 82

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verified fuzzy
raw_fallback, observed 2026-08-16T04:18:46.199494Z

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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Pith citing papers

No inbound Pith citation observations are available.