DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR | Paper Citation Record

Observation 3370876e-331f-4b71-b3cc-b93f367dd944 · outbound

This paper cites Accessed: 2025-11-20.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Accessed: 2025-11-20

Reference 1

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Observation 045f2dae-ba52-46c5-8d1a-e099ed497722 · outbound

This paper cites Zenseact open dataset: A large-scale and diverse multimodal dataset for autonomous driving.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Zenseact open dataset: A large-scale and diverse multimodal dataset for autonomous driving

Reference 2

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Observation 769ac3aa-021d-4801-8f53-0d7efc48d335 · outbound

This paper cites Semantickitti: A dataset for semantic scene understanding of lidar sequences.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Semantickitti: A dataset for semantic scene understanding of lidar sequences

Reference 3

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Observation 5796f650-b187-4dac-a6b1-015b2c0d08fe · outbound

This paper cites A thermal object tracking benchmark.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR A thermal object tracking benchmark

Reference 4

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Observation dc8800d3-d5b2-4e2e-a366-c7518c6d308e · outbound

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

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Seeing through fog without seeing fog: Deep multimodal sensor fusion in unseen adverse weather

Reference 5

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Observation 39007792-bd56-4d44-9a47-47ce939c4d52 · outbound

This paper cites DDD17: End-To-End DAVIS Driving Dataset.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR DDD17: End-To-End DAVIS Driving Dataset

Reference 6

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Observation f186c708-b27c-410e-a850-7ed9ffe92244 · outbound

This paper cites EVIMO2: An Event Camera Dataset for Motion Segmentation, Optical Flow, Structure from Motion, and Visual Inertial Odometry in Indoor Scenes with Monocular or Stereo Algorithms.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR EVIMO2: An Event Camera Dataset for Motion Segmentation, Optical Flow, Structure from Motion, and Visual Inertial Odometry in Indoor Scenes with Monocular or Stereo Algorithms

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Observation 0d550bcb-4315-42ae-a713-7da132996292 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR nuscenes: A multimodal dataset for autonomous driving

Reference 8

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Observation 52134332-0e1c-4f7d-9a16-e6c646efc145 · outbound

This paper cites Towards robust 3d object detection with lidar and 4d radar fusion in various weather conditions.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Towards robust 3d object detection with lidar and 4d radar fusion in various weather conditions

Reference 9

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Observation 92d1b889-59ad-43d1-8208-ca158ed86244 · outbound

This paper cites Doppler-aware lidar-radar fusion for weather-robust 3d detection.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Doppler-aware lidar-radar fusion for weather-robust 3d detection

Reference 10

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Observation e3a40015-4566-4a20-9b9f-7b5337263a1e · outbound

This paper cites Ani Hsieh, Christopher Korpela, Vijay Kumar, Camillo J.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Ani Hsieh, Christopher Korpela, Vijay Kumar, Camillo J

Reference 11

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Observation b8ffa2e0-9490-4863-be10-24340d56f614 · outbound

This paper cites Unified domain generalization and adaptation for multi-view 3d object detection.Advances in Neural Information Processing Systems, 37: 58498–58524, 2024.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Unified domain generalization and adaptation for multi-view 3d object detection.Advances in Neural Information Processing Systems, 37: 58498–58524, 2024

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Observation ef724e2e-de69-4af4-b9da-22ce782918aa · outbound

This paper cites Tci-former: Thermal conduction-inspired transformer for infrared small target detection.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Tci-former: Thermal conduction-inspired transformer for infrared small target detection

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Observation d84815e8-ac5e-4f85-b01c-6d5883ce3eed · outbound

This paper cites Futr3d: A unified sensor fusion framework for 3d detection.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Futr3d: A unified sensor fusion framework for 3d detection

Reference 14

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Observation 7ba726b4-9655-4117-bb46-aa8f8c40e555 · outbound

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

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Dsgn: Deep stereo geometry network for 3d object detection

Reference 15

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Observation f304ad32-9d95-46e2-b1a6-d0990d9d949e · outbound

This paper cites V oxelnext: Fully sparse voxelnet for 3d object detection and tracking.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR V oxelnext: Fully sparse voxelnet for 3d object detection and tracking

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Observation 9dd66867-1286-4022-b677-9944df590a47 · outbound

This paper cites Focalformer3d: focusing on hard instance for 3d object detection.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Focalformer3d: focusing on hard instance for 3d object detection

Reference 17

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Observation c8306b8d-bde0-4223-9de5-fb1727bab1de · outbound

This paper cites Event-image fusion stereo using cross-modality feature propagation.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Event-image fusion stereo using cross-modality feature propagation

Reference 18

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Observation e6d6669a-7f15-4a02-909c-5efffe43eecb · outbound

This paper cites Selection and cross similarity for event-image deep stereo.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Selection and cross similarity for event-image deep stereo

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Observation 9f6f9604-279e-40bf-83af-ce9ac5646ee3 · outbound

This paper cites Learning adaptive dense event stereo from the image domain.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Learning adaptive dense event stereo from the image domain

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Observation fa8d32fb-8a34-4a6f-a640-2d0364f6ca2b · outbound

This paper cites Non-coaxial event-guided motion deblurring with spatial alignment.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Non-coaxial event-guided motion deblurring with spatial alignment

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Observation bbc12543-13fa-449b-b280-929d3d0036b6 · outbound

This paper cites A benchmark dataset for event-guided human pose estimation and tracking in extreme conditions.Advances in Neural Information Processing Systems, 37:134826–134840, 2024.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR A benchmark dataset for event-guided human pose estimation and tracking in extreme conditions.Advances in Neural Information Processing Systems, 37:134826–134840, 2024

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Observation 4dd60c26-17e9-4147-8aa3-6a757c6d0280 · outbound

This paper cites Finding meaning in points: Weakly supervised semantic segmentation for event cameras.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Finding meaning in points: Weakly supervised semantic segmentation for event cameras

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Observation 19fbb33f-9aee-45d6-9635-798cbb56e739 · outbound

This paper cites Ev-3dod: Pushing the temporal boundaries of 3d object detection with event cameras.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Ev-3dod: Pushing the temporal boundaries of 3d object detection with event cameras

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This paper cites Kaist multi-spectral day/night data set for autonomous and assisted driving.IEEE Transactions on Intelligent Transportation Systems, 19(3):934–948,.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Kaist multi-spectral day/night data set for autonomous and assisted driving.IEEE Transactions on Intelligent Transportation Systems, 19(3):934–948,

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Observation 39c31186-ede7-422e-a7fe-d720a612fd52 · outbound

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

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR The cityscapes dataset for semantic urban scene understanding

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This paper cites A Large Scale Event-based Detection Dataset for Automotive.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR A Large Scale Event-based Detection Dataset for Automotive

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This paper cites V oxel r-cnn: Towards high performance voxel-based 3d object detection.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR V oxel r-cnn: Towards high performance voxel-based 3d object detection

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This paper cites Borrow from anywhere: Pseudo multi-modal object detection in thermal imagery.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Borrow from anywhere: Pseudo multi-modal object detection in thermal imagery

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This paper cites Ithaca365: Dataset and driving perception under repeated and challenging weather conditions.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Ithaca365: Dataset and driving perception under repeated and challenging weather conditions

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This paper cites Enhanced thermal-rgb fusion for robust object detection.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Enhanced thermal-rgb fusion for robust object detection

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This paper cites Thermal pedestrian multiple object tracking challenge (tp-mot).

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Thermal pedestrian multiple object tracking challenge (tp-mot)

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This paper cites Mgaf: Lidar-camera 3d object detection with multiple guidance and adaptive fusion.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Mgaf: Lidar-camera 3d object detection with multiple guidance and adaptive fusion.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025

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This paper cites Dsec: A stereo event camera dataset for driving scenarios.

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DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR E-raft: Dense optical flow from event cameras

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DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Are we ready for autonomous driving? the kitti vision benchmark suite.2012 IEEE Conference on Computer Vision and Pattern Recognition, pages 3354–3361, 2012

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DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Hgsfusion: Radar-camera fusion with hybrid generation and synchronization for 3d object detection

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DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Liga-stereo: Learning lidar geometry aware representations for stereo-based 3d detector

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DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Fog simulation on real lidar point clouds for 3d object detection in adverse weather

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DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Event-aided direct sparse odometry

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DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Point density-aware voxels for lidar 3d object detection

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DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Deim: Detr with improved matching for fast convergence

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Observation f8a7abfd-536b-4f1b-bcdd-e0f715360078 · outbound

This paper cites V2x-r: Cooperative lidar-4d radar fusion with denoising diffusion for 3d object detection.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR V2x-r: Cooperative lidar-4d radar fusion with denoising diffusion for 3d object detection

Reference 48

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

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Observation 3cdd5d0c-77fa-4fa7-a7fa-eb3ff80d5c4f · outbound

This paper cites Cramnet: Camera-radar fusion with ray-constrained cross-attention for robust 3d object detection.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Cramnet: Camera-radar fusion with ray-constrained cross-attention for robust 3d object detection

Reference 49

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

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Unavailable: canonical work link unavailable.

Observation dba3885c-727b-4bb0-9b7f-5c1aa594e33d · outbound

This paper cites Multispectral pedestrian detection: Benchmark dataset and baseline.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Multispectral pedestrian detection: Benchmark dataset and baseline

Reference 50

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

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Unavailable: canonical work link unavailable.

Observation 3cf987f1-54e0-4137-975c-d62d79843b3b · outbound

This paper cites Multispectral object detection enhanced by cross- modal information complementary and cosine similarity channel resampling modules.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Multispectral object detection enhanced by cross- modal information complementary and cosine similarity channel resampling modules

Reference 51

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

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Unavailable: canonical work link unavailable.

Observation 74464da8-3d34-4f73-9d9b-eebe70bb0380 · outbound

This paper cites Towards robust event-based networks for nighttime via unpaired day-to-night event translation.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Towards robust event-based networks for nighttime via unpaired day-to-night event translation

Reference 52

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22fd3be6-e324-4f18-ba37-286435d21ff6 · outbound

This paper cites Enhancing 3d object detection with 2d detection-guided query anchors.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Enhancing 3d object detection with 2d detection-guided query anchors

Reference 53

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e902c60-a882-451b-a675-bb87b7793f0b · outbound

This paper cites Far3d: Expanding the horizon for surround-view 3d object detection.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Far3d: Expanding the horizon for surround-view 3d object detection

Reference 54

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddd7ebf3-159a-47f3-b5c7-52d030630a70 · outbound

This paper cites Geoformer: Geometry point encoder for 3d object detection with graph-based transformer.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Geoformer: Geometry point encoder for 3d object detection with graph-based transformer

Reference 55

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c926874-70c4-43c2-b638-c6292de36f26 · outbound

This paper cites Temporal stereo matching from event cameras via joint learning with stereo- scopic flow.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Temporal stereo matching from event cameras via joint learning with stereo- scopic flow.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025

Reference 56

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60cf98b7-4a57-46ff-9e41-260e16aa9704 · outbound

This paper cites Unleashing the temporal potential of stereo event cameras for continuous-time 3d object detection.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Unleashing the temporal potential of stereo event cameras for continuous-time 3d object detection

Reference 57

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5b21e8f-d833-4be4-b1a0-f5589b4db451 · outbound

This paper cites Msu-4s-the michigan state university four seasons dataset.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Msu-4s-the michigan state university four seasons dataset

Reference 58

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3744f7bb-2b48-47fb-9edb-8a1c9409ebd4 · outbound

This paper cites Towards real-world event-guided low-light video enhancement and deblurring.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Towards real-world event-guided low-light video enhancement and deblurring

Reference 59

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d416fbe5-d8e6-406c-b2f2-2d722174035c · outbound

This paper cites From sharp to blur: Unsupervised domain adaptation for 2d human pose estimation under extreme motion blur using event cameras.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR From sharp to blur: Unsupervised domain adaptation for 2d human pose estimation under extreme motion blur using event cameras

Reference 60

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32ef4334-574c-4413-93c5-22b9326a2df4 · outbound

This paper cites Ms-uda: Multi-spectral unsupervised domain adaptation for thermal image semantic segmentation.IEEE Robotics and Automation Letters, 6(4):6497–6504, 2021.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Ms-uda: Multi-spectral unsupervised domain adaptation for thermal image semantic segmentation.IEEE Robotics and Automation Letters, 6(4):6497–6504, 2021

Reference 61

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be5fbe74-faf2-4a93-a52c-6409be446b43 · outbound

This paper cites General, Single-shot, Target-less, and Automatic LiDAR-Camera Extrinsic Calibration Toolbox.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR General, Single-shot, Target-less, and Automatic LiDAR-Camera Extrinsic Calibration Toolbox

Reference 62

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d8a479e-d29f-4930-bae6-ace214b0affc · outbound

This paper cites Semantic segmentation for thermal images: A comparative survey.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Semantic segmentation for thermal images: A comparative survey

Reference 63

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f32f0a1b-a64d-4a95-bb2c-6d9c529b2635 · outbound

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

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Pointpillars: Fast encoders for object detection from point clouds

Reference 64

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35240a05-46a8-4a80-a72c-46454e16817d · outbound

This paper cites Multispectral Pedestrian Detection via Simultaneous Detection and Segmentation.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Multispectral Pedestrian Detection via Simultaneous Detection and Segmentation

Reference 65

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ecbfd6f-cd61-4114-958f-86c07c0f0072 · outbound

This paper cites Event- assisted low-light video object segmentation.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Event- assisted low-light video object segmentation

Reference 66

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2775c228-4235-46e2-98b0-431892bcc4c9 · outbound

This paper cites Logonet: Towards accurate 3d object detection with local-to-global cross-modal fusion.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Logonet: Towards accurate 3d object detection with local-to-global cross-modal fusion

Reference 67

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3990dc1b-c2db-4228-86b2-6731bfc41d5d · outbound

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

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Deepfusion: Lidar-camera deep fusion for multi-modal 3d object detection

Reference 68

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea014a06-d265-4ca8-99b4-fb2e9991cd67 · outbound

This paper cites Fully sparse fusion for 3d object detection.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(11):7217–7231, 2024.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Fully sparse fusion for 3d object detection.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(11):7217–7231, 2024

Reference 69

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7df68438-81e0-4903-a447-ab4f79cb09ed · outbound

This paper cites Bevnext: Reviving dense bev frameworks for 3d object detection.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Bevnext: Reviving dense bev frameworks for 3d object detection

Reference 70

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6693ef7-fc39-43a4-8d82-cb067939e1f0 · outbound

This paper cites Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d

Reference 71

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0c3cb1b-37f4-4962-a3af-cb8ae83d2edc · outbound

This paper cites Monotta: Fully test-time adaptation for monocular 3d object detection.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Monotta: Fully test-time adaptation for monocular 3d object detection

Reference 72

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a3151db-1d8d-4d0f-8bf7-7da2c50fc847 · outbound

This paper cites Microsoft coco: Common objects in context.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Microsoft coco: Common objects in context

Reference 73

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a2b1e10-e8a3-40d5-9d3e-bc8388f8d3cd · outbound

This paper cites Feature pyramid networks for object detection.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Feature pyramid networks for object detection

Reference 74

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ba94a8d-491d-4301-8fa6-a9e35cda342f · outbound

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

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Rcbevdet: Radar-camera fusion in bird’s eye view for 3d object detection

Reference 75

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f90ad257-d98c-46fe-9eea-d3fa56bbcc2e · outbound

This paper cites Ray denoising: Depth-aware hard negative sampling for multi-view 3d object detection.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Ray denoising: Depth-aware hard negative sampling for multi-view 3d object detection

Reference 76

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 362dd2e2-c113-4968-bccb-af847b1989f9 · outbound

This paper cites Seeing motion at nighttime with an event camera.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Seeing motion at nighttime with an event camera

Reference 77

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3b11fc3-af51-4de4-be88-6b2df7407cc5 · outbound

This paper cites Target-aware dual adversarial learning and a multi-scenario multi-modality benchmark to fuse infrared and visible for object detection.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Target-aware dual adversarial learning and a multi-scenario multi-modality benchmark to fuse infrared and visible for object detection

Reference 78

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8c28ffa-3d1a-454b-83b1-9946b806fd3f · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.2021 IEEE/CVF International Conference on Computer Vision (ICCV), pages 9992– 10002, 2021.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Swin transformer: Hierarchical vision transformer using shifted windows.2021 IEEE/CVF International Conference on Computer Vision (ICCV), pages 9992– 10002, 2021

Reference 79

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3459cfef-0fd6-4aac-bffe-26153dc8f09f · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Swin transformer: Hierarchical vision transformer using shifted windows

Reference 80

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bc5e42c-e7d3-4aa0-80d2-13a56bb8ef13 · outbound

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

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

Reference 81

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9a3f781-9963-44ec-ac13-2c0d2f41461b · outbound

This paper cites Lion: Linear group rnn for 3d object detection in point clouds.Advances in Neural Information Processing Systems, 37:13601–13626, 2024.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Lion: Linear group rnn for 3d object detection in point clouds.Advances in Neural Information Processing Systems, 37:13601–13626, 2024

Reference 82

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

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Observation f60a2e21-3254-47af-9f70-5878febaf115 · outbound

This paper cites Seed: A simple and effective 3d detr in point clouds.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Seed: A simple and effective 3d detr in point clouds

Reference 83

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea50616e-9119-47ae-9308-4019900b1dbf · outbound

This paper cites One million scenes for autonomous driving: Once dataset.NeurIPS, 2021.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR One million scenes for autonomous driving: Once dataset.NeurIPS, 2021

Reference 84

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d56b5ba-eaba-408b-b568-a89b9685b9f8 · outbound

This paper cites Automotive radar dataset for deep learning based 3d object detection.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Automotive radar dataset for deep learning based 3d object detection

Reference 85

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1089065d-9565-4d9a-a549-3585f5d22569 · outbound

This paper cites Ev-imo: Motion segmentation dataset and learning pipeline for event cameras.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Ev-imo: Motion segmentation dataset and learning pipeline for event cameras

Reference 86

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42379dc1-8e75-4f60-8551-67fbd285ad54 · outbound

This paper cites Learning to reconstruct hdr images from events, with applications to depth and flow prediction.International Journal of Computer Vision, 129(4):900–920, 2021.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Learning to reconstruct hdr images from events, with applications to depth and flow prediction.International Journal of Computer Vision, 129(4):900–920, 2021

Reference 87

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 699e2394-5e60-48db-90c4-69f156e6da52 · outbound

This paper cites The event-camera dataset and simulator: Event-based data for pose estimation, visual odometry, and slam.The International journal of robotics research, 36(2):142–149,.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR The event-camera dataset and simulator: Event-based data for pose estimation, visual odometry, and slam.The International journal of robotics research, 36(2):142–149,

Reference 88

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5ebb5fb-89af-4c8a-a218-699df35e9405 · outbound

This paper cites How to calibrate your event camera.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR How to calibrate your event camera

Reference 89

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b090a8ca-282b-4cd4-ac2d-d4c3db75336c · outbound

This paper cites Sstn: Self-supervised domain adaptation thermal object detection for autonomous driving.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Sstn: Self-supervised domain adaptation thermal object detection for autonomous driving

Reference 90

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa2d986b-315f-4ccd-b863-d6b4d169f52f · outbound

This paper cites K-radar: 4d radar object detection for autonomous driving in various weather conditions.Advances in Neural Information Processing Systems, 35:3819–3829, 2022.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR K-radar: 4d radar object detection for autonomous driving in various weather conditions.Advances in Neural Information Processing Systems, 35:3819–3829, 2022

Reference 91

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28bfc8b8-1c70-4383-bda5-2df21dd159c4 · outbound

This paper cites Multi-class road user detection with 3+ 1d radar in the view-of-delft dataset.IEEE Robotics and Automation Letters, 7(2):4961–4968, 2022.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Multi-class road user detection with 3+ 1d radar in the view-of-delft dataset.IEEE Robotics and Automation Letters, 7(2):4961–4968, 2022

Reference 92

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffe06f16-17ff-49d7-8aee-5fb74cbcb179 · outbound

This paper cites Samfusion: Sensor-adaptive multimodal fusion for 3d object detection in adverse weather.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Samfusion: Sensor-adaptive multimodal fusion for 3d object detection in adverse weather

Reference 93

Resolution: unresolved; no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e89e929-3280-417d-a83e-5cb0ea26dda8 · outbound

This paper cites Selectively dilated convolution for accuracy-preserving sparse pillar-based embedded 3d object detection.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Selectively dilated convolution for accuracy-preserving sparse pillar-based embedded 3d object detection

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Observation 5efb04e2-c9e0-493c-a42a-4a916920270c · outbound

This paper cites The h3d dataset for full-surround 3d multi-object detection and tracking in crowded urban scenes.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR The h3d dataset for full-surround 3d multi-object detection and tracking in crowded urban scenes

Reference 95

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Observation ea323ac8-3f79-4cdd-b425-f5386c19b9ec · outbound

This paper cites Learning occupancy for monocular 3d object detection.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Learning occupancy for monocular 3d object detection

Reference 96

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Observation 0381238a-6e2b-4c16-a507-cff364ec55b2 · outbound

This paper cites CoSEC: A Coaxial Stereo Event Camera Dataset for Autonomous Driving.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR CoSEC: A Coaxial Stereo Event Camera Dataset for Autonomous Driving

Reference 97

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Observation 0a161cfa-5c9d-40cb-85bf-fb95b48325bc · outbound

This paper cites Learning to detect objects with a 1 megapixel event camera.Advances in Neural Information Processing Systems, 33:16639–16652, 2020.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Learning to detect objects with a 1 megapixel event camera.Advances in Neural Information Processing Systems, 33:16639–16652, 2020

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Observation af4145d9-fc38-4efa-a783-bbeabb72f838 · outbound

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

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR A* 3d dataset: Towards autonomous driving in challenging environments

Reference 99

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Observation 040e75b1-9cc3-4347-bc55-3720556eb3f9 · outbound

This paper cites Canadian adverse driving conditions dataset.The International Journal of Robotics Research, 40(4-5):681–690, 2021.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Canadian adverse driving conditions dataset.The International Journal of Robotics Research, 40(4-5):681–690, 2021

Reference 100

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