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sensor_fusion.md

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Conventional Methods Sensor Fusion

  • MVX-Net: Multimodal VoxelNet for 3D Object Detection / paper / ICRA 2019 / MVX-Net
  • Multi-Task Multi-Sensor Fusion for 3D Object Detection / paper / CVPR 2019 / MMF
  • Deep Continuous Fusion for Multi-Sensor 3D Object Detection / paper / ECCV 2018 / ContFuse
  • PointAugmenting: Cross-Modal Augmentation for 3D Object Detection / paper / project / CVPR 2021 / PointAugmenting
  • AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object Detection / paper / project / ECCV 2022 / AutoAlignV2
  • DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection / paper / supplemental / project / CVPR 2022 / DeepFusion
  • CenterFusion: Center-Based Radar and Camera Fusion for 3D Object Detection / paper / project / WACV 2021 / CenterFusion
  • FUTR3D: A Unified Sensor Fusion Framework for 3D Detection / paper / arXiv / FUTR3D
  • TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection With Transformers / paper / supplemental / project / CVPR 2022 / TransFusion
  • DeepInteraction: 3D Object Detection via Modality Interaction / paper / project / arXiv / DeepInteraction
  • PointPainting: Sequential Fusion for 3D Object Detection / paper / supplemental / CVPR 2020 / PointPainting
  • Frustum PointNets for 3D Object Detection From RGB-D Data / paper / supplemental / project / CVPR 2018 / F-PointNet
  • Multi-View 3D Object Detection Network for Autonomous Driving / paper / video / CVPR 2017 / MV3D
  • Joint 3D Proposal Generation and Object Detection from View Aggregation / paper / project / IROS 2018 / AVOD
  • CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection / paper / project / IROS 2020 / CLOCs