毫米波雷达检测、分割、跟踪等下游任务的各类论文、资料整理"/>
基于深度学习的毫米波雷达检测、分割、跟踪等下游任务的各类论文、资料整理
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近年毫米波雷达相关论文 & 多模态融合相关论文
| 论文名称 | 任务类别 | 传感器 | 源码地址 | 已更新解读 | 备注 |
|---|---|---|---|---|---|
| MmWave Radar and Vision Fusion for Object Detection in Autonomous Driving: A Review | 综述 | radar&camera | 自动驾驶中radar相关的多传感器融合综述 | ||
| Towards Deep Radar Perception for Autonomous Driving: Datasets, Methods, and Challenges | 综述 | radar | 面向自动驾驶的深度雷达感知:数据集、方法和挑战综述 | ||
| Radar-PointGNN: Graph Based Object Recognition for Unstructured Radar Point-cloud Data | 3D检测 | radar | 基于GNN | ||
| 2D Car Detection in Radar Data with PointNets | 3D检测 | radar | 改进PointNets | ||
| Bridging the View Disparity of Radar and Camera Features for Multi-modal Fusion 3D Object Detection | 3D检测 | camera&radar | |||
| RadSegNet: A Reliable Approach to Radar Camera Fusion | 分割 | camera&radar | |||
| Depth Estimation From Monocular Images and Sparse Radar Using Deep Ordinal Regression Network | 深度估计 | camera&radar | 序数回归，改进自DORN | ||
| A Simple Baseline for BEV Perception Without LiDAR（2022， MIT） | 分割 | camera&radar | 对比LSS… | ||
| See Through Smoke: Robust Indoor Mapping with Low-cost mmWave Radar | 密集点云生成GAN | lidar & radar | |||
| Radar Occupancy Prediction With Lidar Supervision While Preserving Long-Range Sensing and Penetrating Capabilities | 可行区域生成：freespace | lidar & radar | |||
| RADIANT: Radar-Image Association Network for 3D Object Detection | 3D检测 | camera&radar | 一种全新的毫米波雷达图像关联网络用于3D目标检测 | ||
| CRFNet for Object Detection (Camera and Radar Fusion Network) | 2D检测 | camera&radar | .4.1 | 基于yolov3 | |
| A frustum proposal-based 3D object detection network for multi-stage fusion in autonomous driving | 3D检测 | camera&radar | 基于centerfusion改进的下一代毫米波雷达与视觉融合方案 | ||
| CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer | 3D检测 | camera&radar | 一种基于空间-语义信息互补的毫米波雷达与相机融合3D检测方法 | ||
| SAF-FCOS: Spatial Attention Fusion for Obstacle Detection using MmWave Radar and Vision Sensor | 2D检测 | camera&radar | 即将更新 | 基于FCOS | |
| NVRadarNet: Real-Time Radar Obstacle and Free Space Detection for Autonomous Driving | 可行区域生成：Freespace | lidar&radar | 实时(1.5ms)BEV多任务 | ||
| CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection | 3D检测 | camera&radar | 基于CenterNet | ||
| Multi-Modal Fusion Transformer for End-to-End Autonomous Driving | 自动驾驶车辆路径预测 | camera&radar | 基于transformer 语义信息注意力关联 | ||
| K-Radar: 4D Radar Object Detection for Autonomous Driving in Various Weather Conditions | 3D检测 | camera&4d radar | 即将更新 | 4D雷达 | |
| Improved Orientation Estimation and Detection with Hybrid Object Detection Networks for Automotive Radar | 2D检测 in BEV | radar | 即将更新 | 结合基于网格和基于点的处理方法 | |
| CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection | 3D检测 | radar&camera | 即将更新 | 射线约束交叉注意机制 考虑传感器短时间失灵 | |
| DeepFusion: A Robust and Modular 3D Object Detector for Lidars, Cameras and Radars | 3D检测 | lidar&camera&radar | 特征提取模块化设计 每个传感器模块设计auxiliary loss | ||
| GRIF Net: Gated Region of Interest Fusion Network for Robust 3D Object Detection from Radar Point Cloud and Monocular Image | 3D检测 | radar&camera | 即将更新 | 设置模态融合阈值，自适应地选择较优输入，调节最终贡献 二阶段检测 | |
| RCDPT: RADAR-CAMERA FUSION DENSE PREDICTION TRANSFORMER | 单目深度估计 | radar&camera | 即将更新 | ||
| Radar Voxel Fusion for 3D Object Detection | 3D检测 | lidar&camera&radar | 即将更新 | ||
| CFTrack: Center-based Radar and Camera Fusion for 3D Multi-Object Tracking | 3D目标跟踪 | radar&camera | 即将更新 | end-to-end跟踪方法 基于centerfusion |
数据集
| 数据集名称 | 传感器 | 解读 | 地址 | 备注 |
|---|---|---|---|---|
| 原始数据 | ||||
| CRUW | radar | / | 原始数据的自动驾驶数据集 支持tracking | |
| CARRADA | camera radar | 支持tracking,segmentation | ||
| RADDet | radar | |||
| radar点云数据集 | ||||
| nuscenes | radar camera lidar | |||
| RadarScenes | radar camera | / | 提供point-wise点级别细粒度的标注 | |
| RADIATE | radar camera lidar | / | 支持tracking | |
| Pointillism | radar camera lidar | |||
| Zendar | radar camera lidar | .archive.zendar.io/dataset.html | 支持tracking | |
| 4D雷达数据集 | ||||
| TJ4DRadSet | radar camera lidar | 支持tracking | ||
| K-Radar Dataset | camera images, Lidar point cloud, RTK-GPS, and Radar tensor | |||
其他资料
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基于深度学习的毫米波雷达检测、分割、跟踪等下游任务的各类论文、资料整理
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