mlsanityData to 14 Oct 2026

Unleashing the Temporal Potential of Stereo Event Cameras for Continuous-Time 3D Object Detection

arXiv 2508.02288 ↗First posted 4 Aug 2025cs.CVcited by 4

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Abstract (arXiv)

3D object detection is essential for autonomous systems, enabling precise localization and dimension estimation. While LiDAR and RGB cameras are widely used, their fixed frame rates create perception gaps in high-speed scenarios. Event cameras, with their asynchronous nature and high temporal resolution, offer a solution by capturing motion continuously. The recent approach, which integrates event cameras with conventional sensors for continuous-time detection, struggles in fast-motion scenarios due to its dependency on synchronized sensors. We propose a novel stereo 3D object detection framework that relies solely on event cameras, eliminating the need for conventional 3D sensors. To compensate for the lack of semantic and geometric information in event data, we introduce a dual filter mechanism that extracts both. Additionally, we enhance regression by aligning bounding boxes with object-centric information. Experiments show that our method outperforms prior approaches in dynamic environments, demonstrating the potential of event cameras for robust, continuous-time 3D perception. The code is available at https://github.com/mickeykang16/Ev-Stereo3D.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 87 of its 113 references that are in the map. First posted on arXiv 4 Aug 2025.

Builds on

87 of 113 references.

References · 87

  1. 2018PointPillars: Fast Encoders for Object Detection from Point Cloudscited by 1,715
  2. 2019Event-based Vision: A Surveycited by 1,016
  3. 2018PointRCNN: 3D Object Proposal Generation and Detection from Point Cloudcited by 941
  4. 2019PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detectioncited by 891
  5. 2022BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representationcited by 850
  6. 2021BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-Viewcited by 713
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  8. 2022BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detectioncited by 572
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  10. 2018Pyramid Stereo Matching Networkcited by 489
  11. 2019PointPainting: Sequential Fusion for 3D Object Detectioncited by 449
  12. 20203DSSD: Point-based 3D Single Stage Object Detectorcited by 440
38 more
  1. 2020Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detectioncited by 410
  2. 2021Multi-Modal Fusion Transformer for End-to-End Autonomous Drivingcited by 377
  3. 2017End-to-End Learning of Geometry and Context for Deep Stereo Regressioncited by 360
  4. 2022BEVFusion: A Simple and Robust LiDAR-Camera Fusion Frameworkcited by 336
  5. 2020Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloudcited by 335
  6. 2018Unsupervised Event-based Learning of Optical Flow, Depth, and Egomotioncited by 307
  7. 2021DSEC: A Stereo Event Camera Dataset for Driving Scenarioscited by 303
  8. 2019STD: Sparse-to-Dense 3D Object Detector for Point Cloudcited by 282
  9. 2021Voxel Transformer for 3D Object Detectioncited by 247
  10. 2018EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Camerascited by 224
  11. 2022DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detectioncited by 224
  12. 2023VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Trackingcited by 222
  13. 2022Unifying Voxel-based Representation with Transformer for 3D Object Detectioncited by 202
  14. 2022FUTR3D: A Unified Sensor Fusion Framework for 3D Detectioncited by 194
  15. 2021Embracing Single Stride 3D Object Detector with Sparse Transformercited by 193
  16. 2020Learning to Detect Objects with a 1 Megapixel Event Cameracited by 186
  17. 2019Stereo R-CNN based 3D Object Detection for Autonomous Drivingcited by 163
  18. 2022Recurrent Vision Transformers for Object Detection with Event Camerascited by 159
  19. 2021Geometry Uncertainty Projection Network for Monocular 3D Object Detectioncited by 156
  20. 2021What Makes Multi-modal Learning Better than Single (Provably)cited by 153
  21. 2021TimeLens: Event-based Video Frame Interpolationcited by 151
  22. 2020CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detectioncited by 147
  23. 2022PolarFormer: Multi-camera 3D Object Detection with Polar Transformercited by 147
  24. 2022Focal Sparse Convolutional Networks for 3D Object Detectioncited by 142
  25. 2022Attention Concatenation Volume for Accurate and Efficient Stereo Matchingcited by 130
  26. 2022DeepInteraction: 3D Object Detection via Modality Interactioncited by 125
  27. 2022AEGNN: Asynchronous Event-based Graph Neural Networkscited by 118
  28. 2021Improving 3D Object Detection with Channel-wise Transformercited by 108
  29. 2021Temporal-wise Attention Spiking Neural Networks for Event Streams Classificationcited by 106
  30. 2022Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Cloudscited by 102
  31. 2020DSGN: Deep Stereo Geometry Network for 3D Object Detectioncited by 101
  32. 2021Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networkscited by 99
  33. 2021FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object Detectioncited by 92
  34. 2022Secrets of Event-Based Optical Flowcited by 92
  35. 2019Graph-Based Object Classification for Neuromorphic Vision Sensingcited by 85
  36. 2023SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detectioncited by 83
  37. 2024RCBEVDet: Radar-camera Fusion in Bird's Eye View for 3D Object Detectioncited by 82
  38. 2023LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusioncited by 80

50 most cited of 87 All 87 (JSON)

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 4.

4 papers.

  1. 2026DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDARcited by 3
  2. 2026GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Trackingcited by 0
  3. 2026Neuromorphic Object Detection: An In-Depth Study and Future Directionscited by 0
  4. 2026Event-guided Neural Video Compressioncited by 0