Skip to content

Latest commit

 

History

History
97 lines (49 loc) · 7.04 KB

File metadata and controls

97 lines (49 loc) · 7.04 KB

LiDAR & Camera Fusion for 3D Object Detection

2022

  • AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection (arXiv 22)

  • Fast-CLOCs: Fast Camera-LiDAR Object Candidates Fusion for 3D Object Detection (WACV 22)

2021

  • Multimodal Virtual Point 3D Detection (NeurIPS 21)

  • PointAugmenting: Cross-Modal Augmentation for 3D Object Detection (CVPR 21)

  • Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDAR (ICCVW 21)

  • Multi-Stage Fusion for Multi-Class 3D Lidar Detection (ICCVW 21)

  • Cross-Modality 3D Object Detection (WACV 21)

  • Sparse-PointNet: See Further in Autonomous Vehicles (RA-L 21)

  • FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object Detection (ITSC 21)

  • MF-Net: Meta Fusion Network for 3D object detection (IJCNN 21)

  • Multi-Scale Spatial Transformer Network for LiDAR-Camera 3D Object Detection (IJCNN 21)

  • Boost 3-D Object Detection via Point Clouds Segmentation and Fused 3-D GIoU-L1 Loss (T-NNLS)

  • RangeLVDet: Boosting 3D Object Detection in LIDAR with Range Image and RGB Image (Sensors Journal 21)

  • LiDAR Cluster First and Camera Inference Later: A New Perspective Towards Autonomous Driving (arXiv 21)

  • Exploring Data Augmentation for Multi-Modality 3D Object Detection (arXiv 21)

2020

  • PointPainting: Sequential Fusion for 3D Object Detection (CVPR 20)

  • 3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection (ECCV 20)

  • EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection (ECCV 20)

  • PI-RCNN: An Efficient Multi-Sensor 3D Object Detector with Point-Based Attentive Cont-Conv Fusion Module (AAAI 20)

  • CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection IROS 20

  • LRPD: Long Range 3D Pedestrian Detection Leveraging Specific Strengths of LiDAR and RGB (ITSC 20)

  • Fusion of 3D LIDAR and Camera Data for Object Detection in Autonomous Vehicle Applications (Sensors Journal 20)

  • SemanticVoxels: Sequential Fusion for 3D Pedestrian Detection using LiDAR Point Cloud and Semantic Segmentation (MFI 20)

2019

  • Multi-Task Multi-Sensor Fusion for 3D Object Detection (CVPR 19)

  • Complexer-YOLO: Real-Time 3D Object Detection and Tracking on Semantic Point Clouds (CVPRW 19)

  • Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation (CVPRW 19)

  • MVX-Net: Multimodal VoxelNet for 3D Object Detection (ICRA 19)

  • SEG-VoxelNet for 3D Vehicle Detection from RGB and LiDAR Data (ICRA 19)

  • 3D Object Detection Using Scale Invariant and Feature Reweighting Networks (AAAI 19)

  • Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection (IROS 19)

  • Deep End-to-end 3D Person Detection from Camera and Lidar (ITSC 19)

  • RoarNet: A Robust 3D Object Detection based on RegiOn Approximation Refinement (IV 19)

  • SCANet: Spatial-channel attention network for 3D object detection (ICASSP 19)

  • One-Stage Multi-Sensor Data Fusion Convolutional Neural Network for 3D Object Detection (Sensors 19)

2018

  • Frustum PointNets for 3D Object Detection from RGB-D Data (CVPR 18)

  • PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation (CVPR 18)

  • Deep Continuous Fusion for Multi-Sensor 3D Object Detection (ECCV 18)

  • Joint 3D Proposal Generation and Object Detection from View Aggregation (IROS 18)

  • A General Pipeline for 3D Detection of Vehicles (ICRA 18)

  • Fusing Bird’s Eye View LIDAR Point Cloud and Front View Camera Image for 3D Object Detection (IV 18)

  • Robust Camera Lidar Sensor Fusion Via Deep Gated Information Fusion Network (IV 18)

2017 or earlier

  • Multi-View 3D Object Detection Network for Autonomous Driving (CVPR 17)