SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset | Paper Citation Record

Observation 59391103-eba9-46b0-b7da-d07200ca2a7a · outbound

This paper cites TransFusion: Robust lidar-camera fusion for 3D object detection with transform- ers.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset TransFusion: Robust lidar-camera fusion for 3D object detection with transform- ers

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:29.295496Z

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Observation 88e9eed8-bdc8-4ce7-baa8-a521c8d2fa0f · outbound

This paper cites Seeing through fog without seeing fog: Deep multimodal sensor fusion in unseen adverse weather.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset Seeing through fog without seeing fog: Deep multimodal sensor fusion in unseen adverse weather

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:29.277689Z

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Observation 4b78ea9e-21d2-498a-a3bb-0d2faeac58bd · outbound

This paper cites nuScenes: A mul- timodal dataset for autonomous driving.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset nuScenes: A mul- timodal dataset for autonomous driving

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:29.240311Z

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Observation d30e14f6-d001-409d-aec9-48ce86f55e9b · outbound

This paper cites BEVFusion4D: Learning LiDAR-Camera Fusion Under Bird's-Eye-View via Cross-Modality Guidance and Temporal Aggregation.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset BEVFusion4D: Learning LiDAR-Camera Fusion Under Bird's-Eye-View via Cross-Modality Guidance and Temporal Aggregation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T14:07:27.658400Z

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Observation 47d8865d-48c3-4927-becb-b99b4ae2ecf0 · outbound

This paper cites Argoverse: 3D tracking and forecasting with rich maps.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset Argoverse: 3D tracking and forecasting with rich maps

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:29.204515Z

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Observation 5dc20e92-6f04-49a9-970c-c941fdcdb0e5 · outbound

This paper cites TransFuser: Imitation with transformer-based sensor fusion for autonomous driv- ing.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset TransFuser: Imitation with transformer-based sensor fusion for autonomous driv- ing

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:29.180306Z

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Observation a7ff101f-0416-478c-b219-85adc9535f30 · outbound

This paper cites The CityScapes dataset for semantic urban scene understanding.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset The CityScapes dataset for semantic urban scene understanding

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:29.164124Z

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Observation 006ef13c-65e3-4d3a-8675-c3bb79f8a9c8 · outbound

This paper cites A survey on multimodal large lan- guage models for autonomous driving.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset A survey on multimodal large lan- guage models for autonomous driving

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T14:07:27.680426Z

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Observation 963c860d-4902-475c-885f-771c94139bd9 · outbound

This paper cites CARLA: An open urban driv- ing simulator.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset CARLA: An open urban driv- ing simulator

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:29.138474Z

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Observation 12d30596-bc98-498e-a420-f06b400dad36 · outbound

This paper cites ViT-BEVSeg: A hierarchi- cal transformer network for monocular bird’s-eye view seg- mentation.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset ViT-BEVSeg: A hierarchi- cal transformer network for monocular bird’s-eye view seg- mentation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:29.123671Z

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Observation 62e928c5-da67-49e8-a086-b0b89dd3e253 · outbound

This paper cites Re- search advances and challenges of autonomous and con- nected ground vehicles.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset Re- search advances and challenges of autonomous and con- nected ground vehicles

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:29.108819Z

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Observation b3307597-63f1-4a08-bf11-3b169a6a7875 · outbound

This paper cites Vision meets robotics: The KITTI dataset.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset Vision meets robotics: The KITTI dataset

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:29.093387Z

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Observation 83921a87-a3b1-4be7-8662-4df22c6205b1 · outbound

This paper cites GitNet: Geometric prior- based transformation for bird’s-eye view segmentation.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset GitNet: Geometric prior- based transformation for bird’s-eye view segmentation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:29.078796Z

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Observation a740bb3e-ccae-4c7d-a0ce-59b8251f6986 · outbound

This paper cites Lift-Attend-Splat: Bird’s-eye view camera-lidar fusion using transformers.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset Lift-Attend-Splat: Bird’s-eye view camera-lidar fusion using transformers

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:29.063527Z

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Observation 29d74169-aa5b-4881-8ba9-223e5c5cadf1 · outbound

This paper cites Is it safe to drive? An overview of factors, metrics, and datasets for driveability assessment in autonomous driving.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset Is it safe to drive? An overview of factors, metrics, and datasets for driveability assessment in autonomous driving

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:29.048679Z

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Observation cec3454c-767c-4a85-ae58-38f383bad94c · outbound

This paper cites One thousand and one hours: Self-driving motion prediction dataset.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset One thousand and one hours: Self-driving motion prediction dataset

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:29.033157Z

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Observation ffe02363-e94a-48c6-a996-afb067a7b5cb · outbound

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

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T14:07:27.727166Z

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Observation b9336103-fcd5-4ca8-8ae8-3d2fe9aca7d2 · outbound

This paper cites The ApolloScape dataset for autonomous driving.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset The ApolloScape dataset for autonomous driving

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:29.017241Z

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Observation 62c17cca-59f0-44c8-b4e6-dcf46017ccdd · outbound

This paper cites Multi- modal sensor fusion-based deep neural network for end-to- end autonomous driving with scene understanding.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset Multi- modal sensor fusion-based deep neural network for end-to- end autonomous driving with scene understanding

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:29.001641Z

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Observation 9a5890ca-8065-49ab-902d-f3d40200bbfd · outbound

This paper cites Fuller: Unified multi-modality multi-task 3D perception via multi-level gradient calibration.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset Fuller: Unified multi-modality multi-task 3D perception via multi-level gradient calibration

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.986768Z

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Observation 3c4a2650-f093-4e16-baf6-3d7f3601ca26 · outbound

This paper cites MSMDFusion: Fusing lidar and camera at multiple scales with multi-depth seeds for 3D ob- ject detection.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset MSMDFusion: Fusing lidar and camera at multiple scales with multi-depth seeds for 3D ob- ject detection

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.971458Z

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Observation 5d3245ea-e87b-4b39-afdd-e7fa6a0709ca · outbound

This paper cites Ford Mustang, 2023.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset Ford Mustang, 2023

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.956366Z

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Observation e1546b23-79c2-4d2f-b0d9-d6947fb54d2e · outbound

This paper cites Time3D: End-to-end joint monocu- lar 3D object detection and tracking for autonomous driving.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset Time3D: End-to-end joint monocu- lar 3D object detection and tracking for autonomous driving

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.940554Z

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Observation 45497bdf-f057-4165-99a5-38a9aaaa6a50 · outbound

This paper cites V2X-Sim: Multi-agent col- laborative perception dataset and benchmark for autonomous driving.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset V2X-Sim: Multi-agent col- laborative perception dataset and benchmark for autonomous driving

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.925339Z

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Observation f6d1f0e5-6b06-487e-bfed-7dd27b6ff19a · outbound

This paper cites Fast-BEV: A fast and strong bird’s-eye view perception baseline.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset Fast-BEV: A fast and strong bird’s-eye view perception baseline

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.910811Z

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Observation a97f2ec2-0ad9-451e-ae5f-7ec63c30e201 · outbound

This paper cites BEVNeXt: Reviving dense BEV frameworks for 3D object detection.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset BEVNeXt: Reviving dense BEV frameworks for 3D object detection

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.896309Z

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Observation 39be49cb-ac80-49ff-915d-701036f811f3 · outbound

This paper cites UniMODE: Unified monocular 3D object detection.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset UniMODE: Unified monocular 3D object detection

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.881676Z

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Observation 7f2ecd83-f7dd-483b-9af5-a084e80c3c74 · outbound

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

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset BEVFusion: A simple and robust lidar-camera fusion framework

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.866489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cdaad5cf-c11d-438b-8d01-db95e28e5c3e · outbound

This paper cites RCBEVDet: Radar-camera fusion in bird’s-eye view for 3D object detection.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset RCBEVDet: Radar-camera fusion in bird’s-eye view for 3D object detection

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.851582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 38ce2ff8-f8d8-4008-a0fa-c744c0456a3b · outbound

This paper cites H-V2X: A large scale highway dataset for BEV perception.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset H-V2X: A large scale highway dataset for BEV perception

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.836546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6fda5c86-7764-42e8-a8e9-095a58699c04 · outbound

This paper cites A survey on autonomous driving datasets: Statistics, annotation quality, and a future outlook.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset A survey on autonomous driving datasets: Statistics, annotation quality, and a future outlook

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.821325Z

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Observation fd70f0a7-6e7d-4cae-b07f-5c09ce15fe10 · outbound

This paper cites PETRv2: A unified frame- work for 3D perception from multi-camera images.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset PETRv2: A unified frame- work for 3D perception from multi-camera images

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.806645Z

Source-reported events for the cited work

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Observation 9d7388f9-a0b6-4f48-a34d-80ce084366da · outbound

This paper cites BEVFusion: Multi- task multi-sensor fusion with unified bird’s-eye view repre- sentation.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset BEVFusion: Multi- task multi-sensor fusion with unified bird’s-eye view repre- sentation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.791165Z

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Observation 9b7aba8e-9742-4e68-bb11-bb7deada40f7 · outbound

This paper cites SEED: A Simple and Effective 3D DETR in Point Clouds.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset SEED: A Simple and Effective 3D DETR in Point Clouds

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-09T14:07:28.114002Z

Source-reported events for the cited work

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Observation 2af9d3ab-a0cc-4cf3-967c-5a347c5470db · outbound

This paper cites DETR4D: Direct Multi-View 3D Object Detection with Sparse Attention.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset DETR4D: Direct Multi-View 3D Object Detection with Sparse Attention

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-09T14:07:27.816882Z

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Observation 63b4b978-aa9e-4846-9698-6c775e5bdc9e · outbound

This paper cites Vision-centric BEV perception: A survey.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset Vision-centric BEV perception: A survey

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.775583Z

Source-reported events for the cited work

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Observation ca556e4c-71ba-47ec-851c-64efe5c979b5 · outbound

This paper cites BEV- guided multi-modality fusion for driving perception.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset BEV- guided multi-modality fusion for driving perception

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.760570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7163a67b-6625-4872-b9bc-8c1ef6d787f6 · outbound

This paper cites BEVDetNet: Bird’s-eye view lidar point cloud based real-time 3D object detection for au- tonomous driving.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset BEVDetNet: Bird’s-eye view lidar point cloud based real-time 3D object detection for au- tonomous driving

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.642743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 33ef112a-6ebd-463a-987d-a88b91708e04 · outbound

This paper cites Towards compact autonomous driving perception with balanced learning and multi-sensor fusion.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset Towards compact autonomous driving perception with balanced learning and multi-sensor fusion

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.627477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 055a09f8-0942-4fcb-a7ea-786cdf82dcc5 · outbound

This paper cites The Mapillary vistas dataset for seman- tic understanding of street scenes.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset The Mapillary vistas dataset for seman- tic understanding of street scenes

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.612885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7d0080dc-1293-465e-9bcb-a56404700fd6 · outbound

This paper cites BEVSegFormer: Bird’s-eye view se- mantic segmentation from arbitrary camera rigs.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset BEVSegFormer: Bird’s-eye view se- mantic segmentation from arbitrary camera rigs

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.597505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 286c8bce-5cea-4a67-afd7-2f275d6dbe17 · outbound

This paper cites A*3D dataset: Towards autonomous driving in challenging environments.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset A*3D dataset: Towards autonomous driving in challenging environments

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.582793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 95a000c5-885f-4bb6-be61-d35d411f9233 · outbound

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

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3D

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.566504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 95569591-5b93-4fcc-a76f-00cebecd5f6a · outbound

This paper cites Deep multi-task learning for joint localization, perception, and prediction.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset Deep multi-task learning for joint localization, perception, and prediction

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.551627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6c2ec609-40d2-414b-829d-40046e4de074 · outbound

This paper cites Playing for data: Ground truth from computer games.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset Playing for data: Ground truth from computer games

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.537131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6765bcbc-758e-4ceb-9f11-17e714d92179 · outbound

This paper cites The SYNTHIA dataset: A large collection of synthetic images for semantic segmen- tation of urban scenes.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset The SYNTHIA dataset: A large collection of synthetic images for semantic segmen- tation of urban scenes

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.522138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 14c083c2-65b1-4937-abe7-bb2530f770fb · outbound

This paper cites Safety-enhanced autonomous driving using inter- pretable sensor fusion transformer.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset Safety-enhanced autonomous driving using inter- pretable sensor fusion transformer

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.506859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 074b99f4-ccf2-4097-9ec0-298b2c3e7a41 · outbound

This paper cites ViPER: Augmenting auto- matic information extraction with visual perceptions.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset ViPER: Augmenting auto- matic information extraction with visual perceptions

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.492185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1bc992b1-92f5-4a6b-ada6-b5ae46b11830 · outbound

This paper cites Synthetic datasets for autonomous driv- ing: A survey.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset Synthetic datasets for autonomous driv- ing: A survey

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.477226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 433c527c-12c7-4049-adeb-c25f18ace0df · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset Scalability in perception for autonomous driving: Waymo open dataset

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.462102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 03680dfe-477a-460a-81e7-7aa1151031dd · outbound

This paper cites SHIFT: A synthetic driving dataset for continuous multi-task domain adaptation.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset SHIFT: A synthetic driving dataset for continuous multi-task domain adaptation

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.447527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a624c049-a8dc-4624-a639-46274a944085 · outbound

This paper cites Challenges in Designing Datasets and Validation for Autonomous Driving.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset Challenges in Designing Datasets and Validation for Autonomous Driving

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-08-09T14:07:28.074882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d5fe1c30-65b8-44a9-a01d-0f7886204192 · outbound

This paper cites UniTR: A unified and efficient multi-modal transformer for bird’s-eye view representation.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset UniTR: A unified and efficient multi-modal transformer for bird’s-eye view representation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.431761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 704b50b1-b130-4240-b5d2-7d8e59562969 · outbound

This paper cites Multi-modal 3D object detection in autonomous driving: A survey and taxonomy.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset Multi-modal 3D object detection in autonomous driving: A survey and taxonomy

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.416489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3a155155-432d-411c-877e-17c379bbc784 · outbound

This paper cites Multi-sensor fusion technology for 3D object detection in autonomous driving: A review.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset Multi-sensor fusion technology for 3D object detection in autonomous driving: A review

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.400467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 239a69ee-c891-46d0-bab5-fca7ac60717c · outbound

This paper cites DETR3D: 3D object detection from multi-view images via 3D-to-2D queries.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset DETR3D: 3D object detection from multi-view images via 3D-to-2D queries

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.385618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 58f80ba6-47a7-4c15-8228-5987caad1a81 · outbound

This paper cites Bi-LRFusion: Bi-directional lidar-radar fusion for 3D dy- namic object detection.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset Bi-LRFusion: Bi-directional lidar-radar fusion for 3D dy- namic object detection

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.370284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 72bdd924-5685-4b64-8e61-b24ce5c86eda · outbound

This paper cites All-in-One Drive: A comprehensive perception dataset with high-density long- range point clouds.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset All-in-One Drive: A comprehensive perception dataset with high-density long- range point clouds

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.354148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 439e0562-a06a-44bd-8ac7-968a37641607 · outbound

This paper cites Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-09T14:07:27.933993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 325b9adc-ea91-4efb-a519-9c29b6ee4d4c · outbound

This paper cites M$^2$BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset M$^2$BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-09T14:07:27.939235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08664852-515e-4b95-b4b9-d6f89ed704c2 · outbound

This paper cites CAPE: Camera view position embedding for multi-view 3D object detection.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset CAPE: Camera view position embedding for multi-view 3D object detection

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.339229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 20a04a62-bd7f-423f-a921-926e44c56c13 · outbound

This paper cites LXL: Lidar excluded lean 3D object detection with 4D imaging radar and camera fusion.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset LXL: Lidar excluded lean 3D object detection with 4D imaging radar and camera fusion

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.323859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6158568a-9c29-4dc7-aff5-4b22d4b8948e · outbound

This paper cites PointFu- sion: Deep sensor fusion for 3D bounding box estimation.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset PointFu- sion: Deep sensor fusion for 3D bounding box estimation

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.308383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2b37c689-935e-4222-b4f3-9de774e4cadb · outbound

This paper cites OPV2V: An open benchmark dataset and fu- sion pipeline for perception with vehicle-to-vehicle commu- nication.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset OPV2V: An open benchmark dataset and fu- sion pipeline for perception with vehicle-to-vehicle commu- nication

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.292863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0804161f-35a2-4096-a368-99397b5e86ed · outbound

This paper cites CoBEVT: Cooperative bird’s-eye view semantic segmentation with sparse transformers.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset CoBEVT: Cooperative bird’s-eye view semantic segmentation with sparse transformers

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.276692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0c7c837c-5d35-4cd0-8e5f-6ed4f891822b · outbound

This paper cites BEVFormer v2: Adapting modern image backbones to bird’s-eye view recognition via perspective su- pervision.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset BEVFormer v2: Adapting modern image backbones to bird’s-eye view recognition via perspective su- pervision

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.260439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b340f285-5327-4df2-8ede-8c4939ebc325 · outbound

This paper cites BDD100K: A diverse driving dataset for heterogeneous multitask learning.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset BDD100K: A diverse driving dataset for heterogeneous multitask learning

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.242872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 162ee430-45ff-4358-8a79-2c789641c530 · outbound

This paper cites Uni3D: A unified baseline for multi-dataset 3D object detection.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset Uni3D: A unified baseline for multi-dataset 3D object detection

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.225442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9a9d40d4-de94-4d10-90b5-8422607d474d · outbound

This paper cites Autonomous driving system: A comprehensive survey.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset Autonomous driving system: A comprehensive survey

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.209555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3d54005a-2f75-4df2-8beb-cbc2417e0302 · outbound

This paper cites Improving bird’s-eye view semantic segmentation by task decomposition.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset Improving bird’s-eye view semantic segmentation by task decomposition

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.193757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2f4fa491-3540-40aa-8f23-aa28d66f4e68 · outbound

This paper cites MaskBEV: Towards a unified framework for BEV detection and map segmentation.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset MaskBEV: Towards a unified framework for BEV detection and map segmentation

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.177741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7af23de3-aeb8-4830-affd-efa79d2b6307 · outbound

This paper cites Perception-aware multi-sensor fusion for 3D lidar semantic segmentation.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset Perception-aware multi-sensor fusion for 3D lidar semantic segmentation

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:28.161615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Reference resolution

Outbound references

Pith citing papers