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恶劣天候三维目标检测论文列表整理

恶劣天候三维目标检测论文列表

在这里插入图片描述

图摘自Kradar

🏠 介绍

Hi,这是有关恶劣天气下三维目标检测的论文列表。主要是来源于近3年研究过程中认为有意义的文章。希望能为新入门的研究者提供一些帮助。

可能比较简陋,存在一定的遗漏,欢迎在Issue中提出,我们会及时更新~

github链接:https://github.com/ylwhxht/3D_Object_Detection_in_Adverse_Weather_Paper_List
(觉得有用的话来个⭐,谢谢^ _ ^)

📚 Table of Contents

  • Survey
  • Dataset
  • Weather Quantitative Analysis
  • LiDAR Adverse Weather Simulation
  • LiDAR Denoiser
  • LiDAR-based/with Camera Detector
  • 4D Radar-based/with Camera Detector
  • LiDAR+3D Radar Fusion Detector
  • LiDAR+4D Radar Fusion Detector
  • with Cooperative Perception

Surveys 🔝

2022

  • Perception and Sensing for Autonomous Vehicles Under Adverse Weather Conditions: A Survey
    ISPRS 2022
    [paper]

  • 3D Object Detection for Autonomous Driving: A Survey
    Pattern Recognition 2022
    [paper]

2023

  • Performance and Challenges of 3D Object Detection Methods in Complex Scenes for Autonomous Driving
    TIV 2023
    [paper]

  • Survey on LiDAR Perception in Adverse Weather Conditions
    IV 2023
    [paper]

2024

  • Object Detection in Autonomous Vehicles under Adverse Weather: A Review of Traditional and Deep Learning Approaches
    Algorithms 2024
    [paper]

  • Perception Methods for Adverse Weather Based on Vehicle Infrastructure Cooperation System: A Review
    Sensors 2024
    [paper]

  • Robustness-Aware 3D Object Detection in Autonomous Driving: A Review and Outlook
    TITS 2024
    [paper]

2025

  • LiDAR Denoising Methods in Adverse Environments: A Review
    Sensors 2025
    [paper]

Datasets 🔝

2021

  • [DENSE(STF)]: Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather
    CVPR 2020
    [paper] [data]

  • [WOD-DA]: Waymo Open Dataset Domain Adaptation
    2020
    [data]

2022

  • [CADC]: Canadian Adverse Driving Conditions Dataset
    IJRR 2021
    [paper] [data]

2023

  • [Kradar]: K-radar: 4d radar object detection for autonomous driving in various weather conditions
    NIPS 2022
    [paper] [code&data]

  • [WADS]: Winter adverse driving dataset for autonomy in inclement winter weather
    Optical Engineering 2023
    [paper] [code&data]

  • [SemanticSpray++]: SemanticSpray++: A Multimodal Dataset for Autonomous Driving in Wet Surface Conditions
    IV 2024
    [paper] [code&data]

2024

  • Is Your LiDAR Placement Optimized for 3D Scene Understanding?
    NIPS 2024
    [paper] [code&data]

Weather Quantitative Analysis🔝

2009

  • Performance of Laser and Radar Ranging Devices in Adverse Environmental Conditions
    Journal of Field Robotics 2009
    [paper]

2018

  • A Benchmark for Lidar Sensors in Fog: Is Detection Breaking Down?
    IV 2018
    [paper]

2020

  • Analysis of automotive lidar sensor model considering scattering effects in regional rain environments
    Access 2020
    [paper]

2021

  • A Quantitative Analysis of Point Clouds from Automotive Lidars Exposed to Artificial Rain and Fog
    Atmosphere 2021
    [paper]

2022

  • Measuring the Influence of Environmental Conditions on Automotive Lidar Sensors
    Sensors 2022
    [paper]

  • Camera and LiDAR analysis for 3D object detection in foggy weather conditions
    ICPRS 2022
    [paper]

2023

  • Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving
    CVPR 2023
    [paper] [code]

2024

  • Effect of Fog Particle Size Distribution on 3D Object Detection Under Adverse Weather Conditions
    Arxiv 2024
    [paper]

LiDAR Adverse Weather Simulation🔝

2018

  • [FogSimulation]: A Benchmark for Lidar Sensors in Fog: Is Detection Breaking Down?
    IV 2018
    [paper]

2020

  • [Fog Simulation]: Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather
    CVPR 2020
    [paper] [code]

2021

  • [Fog Simulation]: Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather
    ICCV 2021
    [paper] [code]

  • [Rain Simulation]: Lidar Light Scattering Augmentation (LISA): Physics-based Simulation of Adverse Weather Conditions for 3D Object Detection
    Arxiv 2021
    [paper] [code]

2022

  • [Snow Simulation]: https://arxiv.org/abs/2203.15118
    CVPR 2022
    [paper] [code]

  • [Spray Simulation]: Reconstruction and Synthesis of Lidar Point Clouds of Spray
    RAL 2022
    [paper] [code]

2023

  • [Various Simulation]: Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving
    CVPR 2023
    [paper] [code]

  • [Snow Simulation]: LiDAR Point Cloud Translation Between Snow and Clear Conditions Using Depth Images and GANs
    IV 2023
    [paper]

  • [Various Simulation]: Robo3D: Towards Robust and Reliable 3D Perception against Corruptions
    ICCV 2023
    [paper] [code]

  • [Snow Simulation]: L-DIG: A GAN-Based Method for LiDAR Point Cloud Processing under Snow Driving Conditions
    Sensors 2023
    [paper]

2024

  • [Snow Simulation]: LiDAR Point Cloud Augmentation for Adverse Conditions Using Conditional Generative Model
    Remote Sens. 2024
    [paper]

  • [Rain Simulation]: Sunshine to Rainstorm: Cross-Weather Knowledge Distillation for Robust 3D Object Detection
    AAAI 2024
    [paper] [code]

2025

  • [Snow Simulation]: Adverse Weather Conditions Augmentation of LiDAR Scenes with Latent Diffusion Models
    Arxiv. 2025
    [paper]

LiDAR Denoiser🔝

2018

  • De-noising of lidar point clouds corrupted by snowfall
    CRV 2018
    [paper]

2020

  • Fast and Accurate Desnowing Algorithm for LiDAR Point Clouds
    Access 2020
    [paper]

  • CNN-based Lidar Point Cloud De-Noising in Adverse Weather
    RAL 2020
    [paper] [code]

2021

  • DSOR: A Scalable Statistical Filter for Removing Falling Snow from LiDAR Point Clouds in Severe Winter Weather
    Arxiv 2021
    [paper] [code]

2022

  • LiSnowNet: Real-time Snow Removal for LiDAR Point Cloud
    IROS 2022
    [paper]

  • De-snowing LiDAR Point Clouds With Intensity and Spatial-Temporal Features
    ICRA 2022
    [paper]

  • A Scalable and Accurate De-Snowing Algorithm for LiDAR Point Clouds in Winter
    Remote Sens. 2022
    [paper]

  • AdverseNet: A LiDAR Point Cloud Denoising Network for Autonomous Driving in Rainy Snowy and Foggy Weather
    ICUS 2022
    [paper] [code]

  • LiSnowNet: Real-time Snow Removal for LiDAR Point Clouds
    IROS 2022
    [paper] [code]

  • 4denoisenet: Adverse weather denoising from adjacent point clouds
    RAL. 2022
    [paper] [code]

  • Adaptive Two-Stage Filter for De-snowing LiDAR Point Clouds
    ICCRI 2022
    [paper]

2023

  • RGOR: De-noising of LiDAR point clouds with reflectance restoration in adverse weather
    ICTC. 2023
    [paper]

  • DCOR: Dynamic Channel-Wise Outlier Removal to De-Noise LiDAR Data Corrupted by Snow
    ICIP 2023
    [paper]

  • GAN Inversion Based Point Clouds Denoising in Foggy Scenarios for Autonomous Driving
    ICDL 2023
    [paper]

2024

  • Denoising Point Clouds with Intensity and Spatial Features in Rainy Weather
    TITS 2024
    [paper]

  • RGB-LiDAR sensor fusion for dust de-filtering in autonomous excavation applications
    Automation in Construction 2024
    [paper]

  • TripleMixer: A 3D Point Cloud Denoising Model for Adverse Weather
    Arxiv 2024
    [paper] [code]

  • An improved point cloud denoising method in adverse weather conditions based on PP-LiteSeg network
    PeerJ Computer Science 2024
    [paper]

  • Denoising Framework Based on Multiframe Continuous Point Clouds for Autonomous Driving LiDAR in Snowy Weather
    Sensors 2024
    [paper] [code]

  • Dust De-Filtering in LiDAR Applications With Conventional and CNN Filtering Methods
    Sensors 2024
    [paper]

  • AdWeatherNet: Adverse Weather Denoising with Point Cloud Spatiotemporal Attention
    VCIP 2024
    [paper] [code]

  • 3D-UnOutDet: A Fast and Efficient Unsupervised Snow Removal Algorithm for 3D LiDAR Point Clouds
    Authorea Preprints 2024
    [paper] [code]

2025

  • Semantic Segmentation Based Rain and Fog Filtering Only by LiDAR Point Clouds
    Sensors. 2025
    [paper]

LiDAR-based/with Camera Detector🔝

2020

  • 1st Place Solution for Waymo Open Dataset Challenge - 3D Detection and Domain Adaptation
    Arxiv 2020
    [paper]

2021

  • SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation
    CVPR 2021
    [paper]

2022

  • Rethinking LiDAR Object Detection in adverse weather conditions
    ICRA 2022
    [paper]

  • Towards Robust 3D Object Detection In Rainy Conditions ITSC 2022
    [paper] [code]

  • LossDistillNet: 3D Object Detection in Point Cloud Under Harsh Weather Conditions
    Access 2022
    [paper]

  • Robust 3D Object Detection in Cold Weather Conditions
    IV 2022
    [paper]

  • Robust-FusionNet: Deep Multimodal Sensor Fusion for 3-D Object Detection Under Severe Weather Conditions
    TIM 2022
    [paper]

2023

  • A Point Cloud-based 3D Object Detection Method for Winter Weather
    ISCER 2023
    [paper]

  • Source-free Unsupervised Domain Adaptation for 3D Object Detection in Adverse Weather
    ICRA 2023
    [paper] [code]

  • Enhancing Lidar-based Object Detection in Adverse Weather using Offset Sequences in Time
    ICECET 2023
    [paper]

2024

  • Geometric information constraint 3D object detection from LiDAR point cloud for autonomous vehicles under adverse weather
    Transportation research part C: emerging technologies 2024
    [paper]

  • Sunshine to Rainstorm: Cross-Weather Knowledge Distillation for Robust 3D Object Detection
    AAAI 2024
    [paper] [code]

  • SAMFusion: Sensor-Adaptive Multimodal Fusion for 3D Object Detection in Adverse Weather
    ECCV 2024
    [paper] [code]

  • LiDAR Point Cloud Augmentation for Adverse Conditions Using Conditional Generative Model
    Remote Sensing 2024
    [paper]

2025

  • AWARDistill: Adaptive and robust 3D object detection in adverse conditions through knowledge distillation,Expert Systems with Applications
    2025
    [paper]

  • 3D vision object detection for autonomous driving in fog using LiDaR
    Simulation Modelling Practice and Theory 2025
    [paper]


4D Radar-based/with Camera Detector 🔝

2022

  • [RTNH]: K-radar: 4d radar object detection for autonomous driving in various weather conditions
    NIPS 2022
    [paper] [code&data]

2024

  • TL-4DRCF: A Two-Level 4-D Radar–Camera Fusion Method for Object Detection in Adverse Weather
    Sensors 2024
    [paper]

LiDAR+3D Radar Fusion Detector🔝

2020

  • Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather
    CVPR 2020
    [paper] [code]

2021

  • Robust Multimodal Vehicle Detection in Foggy Weather Using Complementary Lidar and Radar Signals
    CVPR 2021
    [paper] [code]

2022

  • Modality-Agnostic Learning for Radar-Lidar Fusion in Vehicle Detection
    CVPR 2022
    [paper]

2023

  • ST-MVDNET++: IMPROVE VEHICLE DETECTION WITH LIDAR-RADAR GEOMETRICAL AUGMENTATION VIA SELF-TRAINING
    ICASSP 2023
    [paper] [code]

  • Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object Detection
    CVPR 2023
    [paper]

2024

  • 3D Object Detection Algorithm in Adverse Weather Conditions Based on LiDAR-Radar Fusion
    CCC 2024
    [paper]

  • RaLiBEV: Radar and LiDAR BEV Fusion Learning for Anchor Box Free Object Detection Systems
    TCSVT 2024
    [paper] [code]

  • SAMFusion: Sensor-Adaptive Multimodal Fusion for 3D Object Detection in Adverse Weather
    ECCV 2024
    [paper] [code]

  • TransFusion: Multi-Modal Robust Fusion for 3D Object Detection in Foggy Weather Based on Spatial Vision Transformer
    TITS 2024
    [paper]


LiDAR+4D Radar Fusion Detector🔝

2024

  • Towards Robust 3D Object Detection with LiDAR and 4D Radar Fusion in Various Weather Conditions
    CVPR 2024
    [paper] [code]

  • LiDAR-based All-weather 3D Object Detection via Prompting and Distilling 4D Radar
    ECCV 2024
    [paper] [code]

2025

  • L4DR: LiDAR-4DRadar Fusion for Weather-Robust 3D Object Detection
    AAAI 2025
    [paper] [code]

with Cooperative Perception 🔝

2024

  • V2X-DGW: Domain Generalization for Multi-agent Perception under Adverse Weather Conditions
    Arxiv 2024
    [paper]

  • Weather-Aware Collaborative Perception With Uncertainty Reduction has been published
    TITS 2024
    [paper] [data]

2025

  • V2X-R: Cooperative LiDAR-4D Radar Fusion for 3D Object Detection with Denoising Diffusion
    CVPR 2025
    [paper] [code]

http://www.kler.cn/a/576353.html

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