持續整理帖，關註不迷路！

2022/12/8

ECCV2022|數據處理--閉環訓練 |Rethinking Closed-loop Training for Autonomous Driving| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|目標檢測--毫米波雷達 |Radatron: Accurate Detection Using Multi-Resolution Cascaded MIMO Radar| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|BEV--預測 |StretchBEV: Stretching Future Instance Prediction Spatially and Temporally| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|數據集--Corner Case |CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|行為決策|InAction: Interpretable Action Decision Making for Autonomous Driving| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|點雲分割|Online Segmentation of LiDAR Sequences: Dataset and Algorithm| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|全景分割|Panoptic-PartFormer: Learning a Unified model for Panoptic Part Segmentation| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|深度估計 |3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-Labeling| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|軌跡預測 |View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|軌跡預測 |Aware of the History: Trajectory Forecasting with the Local Behavior Data| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|數據處理--點雲壓縮 |Point Cloud Compression with Range Image-based Entropy Model for Autonomous Driving| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|視覺定位 |IIs Geometry Enough for Matching in Visual Localization?| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|長尾數據--檢測 |Improving the Intra-class Long-tail in 3D Detection via Rare Example Mining| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|3D目標檢測--點雲 |PillarNet: Real-Time and High-Performance Pillar-based 3D Object Detection| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|3D目標檢測--點雲 |INT: Towards Infinite-frames 3D Detection with An Efficient Framework| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|3D目標檢測--點雲 |Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|軌跡預測 |D2-TPred: Discontinuous Dependency for Trajectory Prediction under Traffic Lights| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|相機標定 |Camera Auto-calibration from the Steiner Conic of the Fundamental Matrix| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|目標跟蹤--點雲 |3D Siamese Transformer Network for Single Object Tracking on Point Clouds| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|3D目標檢測--多模態 |Lidar Point Cloud Guided Monocular 3D Object Detection| [論文鏈接] [代碼鏈接][解讀鏈接]

2022/12/6

ECCV2022|3D目標檢測--多模態 |CHomogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|點雲特征提取--NAS網絡 |LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|全景分割--點雲 |4D-StOP: Panoptic Segmentation of 4D LiDAR using Spatio-temporal Object Proposal Generation and Aggregation| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|軌跡預測 |AdvDO: Realistic Adversarial Attacks for Trajectory Prediction| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|3D目標檢測--點雲 |CenterFormer: Center-based Transformer for 3D Object Detection| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|疲勞檢測 |Detecting Driver Drowsiness as an Anomaly Using LSTM Autoencoders [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|車輛意圖預測--變道|DLane Change Classification and Prediction with Action Recognition Networks [論文鏈接] [代碼鏈接][解讀鏈接]

2022/11/9

ECCV2022|多模態數據融合檢測 |CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|端到端感知預測--無監督 |Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving| [論文鏈接] [代碼鏈接][解讀鏈接]

2022/11/7

ECCV2022|環境感知相機 | Overexposure Mask Fusion: Generalizable Reverse ISP Multi-Step Refinement| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|深度補全 | GraphCSPN: Geometry-Aware Depth Completion via Dynamic GCNs| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|相機姿態估計 | SC-wLS: Towards Interpretable Feed-forward Camera Re-localization| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|數據增強--點雲 | PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|數據集--多目標跟蹤 | Large Scale Real-World Multi-Person Tracking| [論文鏈接] [代碼鏈接][解讀鏈接]

2022/8/19

ECCV2022|仿真環境生成|TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual Environments| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|停車位檢測|Towards an Error-free Deep Occupancy Detector for Smart Camera Parking System | [論文鏈接] [代碼鏈接][解讀鏈接]

2022/8/8

ECCV2022|場景分析--點雲|Dynamic 3D Scene Analysis by Point Cloud Accumulation| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|3d車道線分割--點雲|SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|3d目標跟蹤|PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking?| [論文鏈接] [代碼鏈接][解讀鏈接]

2022/7/25

ECCV2022|3d目標檢測-單目|DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection| [論文鏈接] [代碼鏈接][解讀鏈接]

2022/7/20

ECCV2022|車道線檢測|RCLane: Relay Chain Prediction for Lane Detection| [論文鏈接] [代碼鏈接][解讀鏈接]

2022/7/19

ECCV2022|端到端自動駕駛-BEV架構|ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature Learning| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|多任務網絡(深度估計+視覺裡程計+BEV)|JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|軌跡預測|Action-based Contrastive Learning for Trajectory Prediction| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|3D目標檢測-圖像|DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection| [論文鏈接] [代碼鏈接][解讀鏈接]

2022/7/18

ECCV2022|V2X -感知-註意力機制|V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer| [論文鏈接] [代碼鏈接][解讀鏈接]

2022/7/15

ECCV2022|BEV感知|BEVFormer: Learning Bird’s-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|深度估計(視覺+imu)|Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|目標檢測(2d)|Should All Proposals be Treated Equally in Object Detection?| [論文鏈接] [代碼鏈接][解讀鏈接]

2022/7/13

ECCV2022|異常檢測|DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|點雲語義分割|Open-world Semantic Segmentation for LIDAR Point Clouds| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|BEV感知-目標檢測|Learning Ego 3D Representation as Ray Tracing| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|全景分割|Panoptic-PartFormer: Learning a Unified model for Panoptic Part Segmentation| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|數據集處理-長尾+不均衡|On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond| [論文鏈接] [代碼鏈接][解讀鏈接]

2022/7/12

ECCV2022|異常檢測/分割|Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes| [論文鏈接] [代碼鏈接][解讀鏈接]

ECCV2022|障礙物軌跡預測|View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums| [論文鏈接] [代碼鏈接][解讀鏈接]

往期回顧：

自動駕駛開發者說| 前沿 | CVPR2022有哪些自動駕駛方面的工作？

自動駕駛開發者說| 求職 | 2022年如何找到優秀的自動駕駛公司？

自動駕駛開發者說|技術棧|入門感知模塊需要儲備哪些知識？

自動駕駛開發者說|前沿|基於BEV的自動駕駛會顛覆現有的自動駕駛架構嗎？

自動駕駛開發者說 | 前沿|如何定義&檢測&解決Corner Cases？

自動駕駛開發者說| 前沿 | 2022年ViT(vision transform)如何應用在自動駕駛任務上？

自動駕駛開發者說| 前沿 | 近兩年有哪些ViT(Vision Transformer)的改進算法？

自動駕駛開發者說 | 前沿|如何進行LiDAR-Camera（雷達-相機）的聯合標定？

自動駕駛開發者說|前沿|如何用360度全景圖來深度估計？

自動駕駛開發者說|前沿|如何進行多傳感器的融合？

自動駕駛開發者說| 前沿 |如何利用ViT(vision transformer)進行全景圖像的分割？

自動駕駛開發者說|前沿|如何結合深度信息進行道路區域分割？

自動駕駛開發者說|數據集|CVPR2022有哪些數據集方面的工作(一)

自動駕駛開發者說 | 數據集 | 如何使用KITTI數據？

自動駕駛開發者說|高精地圖(1)|如何采集處理高精地圖的原始數據？

自動駕駛開發者說| 仿真 | 如何利用開源的自動駕駛仿真環境？

自動駕駛開發者說|仿真|如何安裝配置lgsvl-apollo聯調環境？

自動駕駛開發者說|框架|如何用vscode調試apollo？

自動駕駛開發者說|框架|如何單獨運行apollo相機感知模塊？

自動駕駛開發者說|框架|如何找到apollo感知模塊的爽點？

自動駕駛開發者說| 框架 |如何快準狠的安裝apollo6.0？

自動駕駛開發者說|框架|如何在apollo中添加自己的USB攝像頭？

自動駕駛開發者說|框架|如何理解Apollo感知模塊的配置文件？

自動駕駛開發者說|行業|如何看待特斯拉傳感器的部署？

自動駕駛開發者說|行業|如何看待無人駕駛汽車的發展？

自動駕駛開發者說| 工具 |如何快速上手&運用ROS1？

CVPR2022 |自動駕駛|BEV感知|Cross-view Transformers for real-time Map-view Semantic Segmentation

CVPR2022 |目標檢測-多模態|CAT-Det: Contrastively Augmented Transformer for Multi-modal 3D Object Detection

CVPR2022 |自動駕駛 | 軌跡預測|Forecasting from LiDAR via Future Object Detection

CVPR2022|自動駕駛 | 極端天氣點雲檢測 | LiDAR Snowfall Simulation for Robust 3D Object Detection