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编辑 | 自动驾驶之心

汇总链接：https://github.com/autodriving-heart/ECCV-2024-Papers-Autonomous-Driving

We will promptly include more related works in this repository. Please stay tuned!!!

We also kindly invite you to our platform, Auto Driving Heart, for paper interpretation and sharing. If you would like to promote your work, please feel free to contact me.

1) End to End | 端到端自动驾驶

GenAD: Generative End-to-End Autonomous Driving

  • paper: https://arxiv.org/pdf/2402.11502

  • code: https://github.com/wzzheng/GenAD

2）LLM Agent | 大语言模型智能体

DriveLM: Driving with Graph Visual Question Answering

  • paper: https://arxiv.org/pdf/2312.14150

  • code: https://github.com/OpenDriveLab/DriveLM

ELM: Embodied Understanding of Driving Scenarios

  • paper: https://arxiv.org/pdf/2403.04593

  • code: https://github.com/OpenDriveLab/ELM

Controllable Navigation Instruction Generation with Chain of Thought Prompting

  • paper: coming soon

  • code: https://github.com/refkxh/C-Instructor

Asynchronous Large Language Model Enhanced Planner for Autonomous Driving

  • paper: coming soon

  • code: coming soon

TOD3Cap: Towards 3D Dense Captioning in Outdoor Scenes

  • paper: https://arxiv.org/pdf/2403.19589

  • code: https://github.com/jxbbb/TOD3Cap

Global-Local Collaborative Inference with LLM for Lidar-Based Open-Vocabulary Detection

  • paper: coming soon

  • code: https://github.com/GradiusTwinbee/GLIS

3）SSC: Semantic Scene Completion | 语义场景补全

Hierarchical Temporal Context Learning for Camera-based Semantic Scene Completion

  • paper: https://arxiv.org/pdf/2407.02077

  • code: https://github.com/Arlo0o/HTCL

4）OCC: Occupancy Prediction | 占用感知

Fully Sparse 3D Occupancy Prediction

  • paper: https://arxiv.org/pdf/2312.17118

  • code: https://github.com/MCG-NJU/SparseOcc

GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction

  • paper: https://arxiv.org/pdf/2405.17429

  • code: https://github.com/huang-yh/GaussianFormer

Occupancy as Set of Points

  • paper: https://arxiv.org/pdf/2407.04049

  • code: https://github.com/hustvl/osp

5) World Model | 世界模型

OccWorld: 3D World Model for Autonomous Driving

  • paper: https://arxiv.org/pdf/2311.16038

  • code: https://github.com/wzzheng/OccWorld

Modelling Competitive Behaviors in Autonomous Driving Under Generative World Model

  • paper: coming soon

  • code: coming soon

DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

  • paper: https://arxiv.org/pdf/2309.09777

  • code: https://github.com/JeffWang987/DriveDreamer

6）HD-Mapping

MapTracker: Tracking with Strided Memory Fusion for Consistent Vector HD Mapping

  • paper: https://arxiv.org/pdf/2403.15951

  • code: https://github.com/woodfrog/maptracker

ADMap: Anti-disturbance framework for reconstructing online vectorized HD map

  • paper: coming soon

  • code: https://github.com/hht1996ok/ADMap

Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention

  • paper: coming soon

  • code: https://github.com/alfredgu001324/MapBEVPrediction

Leveraging Enhanced Queries of Point Sets for Vectorized Map Construction

  • paper: https://arxiv.org/pdf/2402.17430

  • code: https://github.com/HXMap/MapQR

7）Foundation Model

PartGLEE: A Foundation Model for Recognizing and Parsing Any Objects

  • paper: coming soon

  • code: coming soon

8）Robust Perception

Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather

  • paper: https://arxiv.org/pdf/2407.02286

  • code: https://github.com/engineerJPark/LiDAR-DataAug4Weather

R2-Bench: Benchmarking the Robustness of Referring Perception Models under Perturbations

  • paper: coming soon

  • code: https://github.com/lxa9867/r2bench

9）3D Object Detection | 三维目标检测

Weakly Supervised 3D Object Detection via Multi-Level Visual Guidance

  • paper: https://arxiv.org/pdf/2312.07530

  • code: https://github.com/KuanchihHuang/VG-W3D

GraphBEV: Towards Robust BEV Feature Alignment for Multi-Modal 3D Object Detection

  • paper: https://arxiv.org/pdf/2403.11848

  • code: https://github.com/adept-thu/GraphBEV

RecurrentBEV: A Long-term Temporal Fusion Framework for Multi-view 3D Detection

  • paper: coming soon

  • code: https://github.com/lucifer443/RecurrentBEV

Ray Denoising: Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection

  • paper: https://arxiv.org/pdf/2402.03634

  • code: https://github.com/LiewFeng/RayDN

MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection

  • paper: coming soon

  • code: https://github.com/VisualAIKHU/MonoWAD

DualBEV: CNN is All You Need in View Transformation

  • paper: https://arxiv.org/pdf/2403.05402

  • code: https://github.com/PeidongLi/DualBEV

OPEN: Object-wise Position Embedding for Multi-view 3D Object Detection

  • paper: coming soon

  • code: https://github.com/AlmoonYsl/OPEN

Make Your ViT-based Multi-view 3D Detectors Faster via Token Compression

  • paper: coming soon

  • code: coming soon

SEED: A Simple and Effective 3D DETR in Point Clouds

  • paper: coming soon

  • code: coming soon

Towards Stable 3D Object Detection

  • paper: https://arxiv.org/pdf/2407.04305

  • code: https://github.com/jbwang1997/StabilityIndex

10）Domain Adaptation & Test-Time Adaptation

Enhancing Source-Free Domain Adaptive Object Detection with Low-Confidence Pseudo-Label Distillation

  • paper: coming soon

  • code: https://github.com/junia3/LPLD

Fully Test-Time Adaptation for Monocular 3D Object Detection

  • paper: coming soon

  • code: https://github.com/Hongbin98/MonoTTA

Progressive Classifier and Feature Extractor Adaptation for Unsupervised Domain Adaptation on Point Clouds

  • paper: https://arxiv.org/pdf/2303.01276

  • code: https://github.com/xiaoyao3302/PCFEA

11）Cooperative Perception | 协同感知

Plug and Play: A Representation Enhanced Domain Adapter for Collaborative Perception

  • paper: coming soon

  • code: https://github.com/luotianyou349/PnPDA

12）SLAM

13）Scene Flow Estimation | 场景流估计

4D Contrastive Superflows are Dense 3D Representation Learners

  • paper: coming soon

  • code: https://github.com/Xiangxu-0103/SuperFlow

14）Point Cloud | 点云

T-CorresNet: Template Guided 3D Point Cloud Completion with Correspondence Pooling Query Generation Strategy

  • paper: coming soon

  • code: https://github.com/df-boy/T-CorresNet

15)  Efficient Network

16) Segmentation

17）Radar | 毫米波雷达

18）Nerf Gaussian Splatting

Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting

  • paper: https://arxiv.org/pdf/2401.01339

  • code: https://github.com/zju3dv/street_gaussians

MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images

  • paper: https://arxiv.org/pdf/2403.14627

  • code: https://github.com/donydchen/mvsplat

GScream: Learning 3D Geometry and Feature Consistent Gaussian Splatting for Object Removal

  • paper: https://arxiv.org/pdf/2404.13679

  • code: https://github.com/W-Ted/GScream

BeNeRF: Neural Radiance Fields from a Single Blurry Image and Event Stream

  • paper: coming soon

  • code: https://github.com/WU-CVGL/BeNeRF

PreSight: Enhancing Autonomous Vehicle Perception with City-Scale NeRF Priors

  • paper: https://arxiv.org/pdf/2403.09079

  • code: https://github.com/yuantianyuan01/PreSight

GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting

  • paper: https://arxiv.org/pdf/2403.08551

  • code: https://github.com/Xinjie-Q/GaussianImage

SG-NeRF: Neural Surface Reconstruction with Scene Graph Optimization

  • paper: coming soon

  • code: https://github.com/Iris-cyy/SG-NeRF

Disentangled Generation and Aggregation for Robust Radiance Fields

  • paper: coming soon

  • code: https://github.com/GaoHchen/Robust-Triplane

19）MOT: Muti-object Tracking | 多物体跟踪

Beyond MOT: Semantic Multi-Object Tracking

  • paper: coming soon

  • code: https://github.com/HengLan/SMOT

20）Multi-label Atomic Activity Recognition

21) Motion Prediction | 运动预测

22) Trajectory Prediction | 轨迹预测

23) Depth Estimation | 深度估计

Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estimation

  • paper: coming soon

  • code: https://github.com/zhyever/PatchRefiner

24) Event Camera | 事件相机

25) Odometry

DVLO: Deep Visual-LiDAR Odometry with Local-to-Global Feature Fusion and Bi-Directional Structure Alignment

  • paper: coming soon

  • code: https://github.com/IRMVLab/DVLO

Postscript

This list of papers is primarily curated by Rujia Wang.

If you have any questions about the paper list, please do not hesitate to email me and [Auto Driving Heart Team] or open an issue on GitHub.

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