SynFog: A Photo-realistic Synthetic Fog Dataset based on End-to-end Imaging Simulation for Advancing Real-World Defogging in Autonomous Driving
Fuente:
arXiv
Saved in:
| Main Authors: | Xie, Yiming, Wei, Henglu, Liu, Zhenyi, Wang, Xiaoyu, Ji, Xiangyang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SynAD: Enhancing Real-World End-to-End Autonomous Driving Models through Synthetic Data Integration
by: Kim, Jongsuk, et al.
Published: (2025)
by: Kim, Jongsuk, et al.
Published: (2025)
Simcan2Fog Virtual Appliance: A Reproducible Environment for Fog Computing Simulation
by: Ulysses, de Aguilar, et al.
Published: (2025)
by: Ulysses, de Aguilar, et al.
Published: (2025)
A Data Efficiency Study of Synthetic Fog for Object Detection Using the Clear2Fog Pipeline
by: Mohamed, Mohamed Ahmed, et al.
Published: (2026)
by: Mohamed, Mohamed Ahmed, et al.
Published: (2026)
The Fog of Wards
by: Gabriel Dabscheck, et al.
Published: (2025)
by: Gabriel Dabscheck, et al.
Published: (2025)
The Fog Development Kit: A Development Platform for SDN-based Edge-Fog Systems
by: Powell, Colton, et al.
Published: (2019)
by: Powell, Colton, et al.
Published: (2019)
AirFogSim: A Light-Weight and Modular Simulator for UAV-Integrated Vehicular Fog Computing
by: Wei, Zhiwei, et al.
Published: (2024)
by: Wei, Zhiwei, et al.
Published: (2024)
Seeing Through Fog: Towards Fog-Invariant Action Recognition
by: Liu, Enqi, et al.
Published: (2026)
by: Liu, Enqi, et al.
Published: (2026)
From Imitation to Exploration: End-to-end Autonomous Driving based on World Model
by: Li, Yueyuan, et al.
Published: (2024)
by: Li, Yueyuan, et al.
Published: (2024)
Unraveling the Effects of Synthetic Data on End-to-End Autonomous Driving
by: Ge, Junhao, et al.
Published: (2025)
by: Ge, Junhao, et al.
Published: (2025)
FedFog: Resource-Aware Federated Learning in Edge and Fog Networks
by: Sobati-M, Somayeh
Published: (2025)
by: Sobati-M, Somayeh
Published: (2025)
Fog of War Chess
by: Gehnen, Matthias, et al.
Published: (2026)
by: Gehnen, Matthias, et al.
Published: (2026)
Observability in Fog Computing
by: Araujo, Aleteia, et al.
Published: (2024)
by: Araujo, Aleteia, et al.
Published: (2024)
Agentic Fog: A Policy-driven Framework for Distributed Intelligence in Fog Computing
by: Akbar, Saeed, et al.
Published: (2026)
by: Akbar, Saeed, et al.
Published: (2026)
SynDiff-AD: Improving Semantic Segmentation and End-to-End Autonomous Driving with Synthetic Data from Latent Diffusion Models
by: Goel, Harsh, et al.
Published: (2024)
by: Goel, Harsh, et al.
Published: (2024)
ISETHDR: A Physics-based Synthetic Radiance Dataset for High Dynamic Range Driving Scenes
by: Liu, Zhenyi, et al.
Published: (2024)
by: Liu, Zhenyi, et al.
Published: (2024)
STEREOFOG -- Computational DeFogging via Image-to-Image Translation on a real-world Dataset
by: Pollak, Anton, et al.
Published: (2023)
by: Pollak, Anton, et al.
Published: (2023)
The Solution for Single Object Tracking Task of Perception Test Challenge 2024
by: Zhong, Zhiqiang, et al.
Published: (2024)
by: Zhong, Zhiqiang, et al.
Published: (2024)
Lost in Fog: Sensor Perturbations Expose Reasoning Fragility in Driving VLAs
by: Priyadershi, Abhinaw, et al.
Published: (2026)
by: Priyadershi, Abhinaw, et al.
Published: (2026)
Fog collection with hairy wires
by: Leyun Feng, et al.
Published: (2025)
by: Leyun Feng, et al.
Published: (2025)
FedFog: Network-Aware Optimization of Federated Learning over Wireless Fog-Cloud Systems
by: Nguyen, Van-Dinh, et al.
Published: (2021)
by: Nguyen, Van-Dinh, et al.
Published: (2021)
Fog Device-as-a-Service (FDaaS): A Framework for Service Deployment in Public Fog Environments
by: Battula, Sudheer Kumar, et al.
Published: (2023)
by: Battula, Sudheer Kumar, et al.
Published: (2023)
End-to-end Autonomous Driving: Challenges and Frontiers
by: Chen, Li, et al.
Published: (2023)
by: Chen, Li, et al.
Published: (2023)
M4Fog: A Global Multi-Regional, Multi-Modal, and Multi-Stage Dataset for Marine Fog Detection and Forecasting to Bridge Ocean and Atmosphere
by: Xu, Mengqiu, et al.
Published: (2024)
by: Xu, Mengqiu, et al.
Published: (2024)
DINO Pre-training for Vision-based End-to-end Autonomous Driving
by: Juneja, Shubham, et al.
Published: (2024)
by: Juneja, Shubham, et al.
Published: (2024)
Estimating Fog Parameters from a Sequence of Stereo Images
by: Ding, Yining, et al.
Published: (2025)
by: Ding, Yining, et al.
Published: (2025)
Fog Intelligence for Network Anomaly Detection
by: Yang, Kai, et al.
Published: (2025)
by: Yang, Kai, et al.
Published: (2025)
Long‐Term Variability of Fog in Poland
by: Olga Zawadzka‐Manko, et al.
Published: (2025)
by: Olga Zawadzka‐Manko, et al.
Published: (2025)
When AI Navigates the Fog of War
by: Li, Ming, et al.
Published: (2026)
by: Li, Ming, et al.
Published: (2026)
Diatoms Inspired Green Janus Fabric for Efficient Fog Harvesting
by: Yinjie Chen, et al.
Published: (2024)
by: Yinjie Chen, et al.
Published: (2024)
AirFogSim: A Python Package for Benchmarking Collaborative Intelligence in Low-Altitude Vehicular Fog Computing
by: Wei, Zhiwei, et al.
Published: (2025)
by: Wei, Zhiwei, et al.
Published: (2025)
Enhance Planning with Physics-informed Safety Controller for End-to-end Autonomous Driving
by: Zhou, Hang, et al.
Published: (2024)
by: Zhou, Hang, et al.
Published: (2024)
Ultraslippery Surface for Efficient Fog Harvesting and Anti‐Icing/Fouling
by: Huayang Zhang, et al.
Published: (2024)
by: Huayang Zhang, et al.
Published: (2024)
MAP: End-to-End Autonomous Driving with Map-Assisted Planning
by: Yin, Huilin, et al.
Published: (2025)
by: Yin, Huilin, et al.
Published: (2025)
Optimization of End-to-End AoI in Edge-Enabled Vehicular Fog Systems: A Dueling-DQN Approach
by: Tadele, Seifu Birhanu, et al.
Published: (2024)
by: Tadele, Seifu Birhanu, et al.
Published: (2024)
D2-CDIG: Controlled Diffusion Remote Sensing Image Generation with Dual Priors of DEM and Cloud-Fog
by: Zhao, Zuopeng, et al.
Published: (2026)
by: Zhao, Zuopeng, et al.
Published: (2026)
Multi‐Bioinspired Fog Harvesting Structure with Asymmetric Surface for Hydrogen Revolution
by: Mingzhu Xie, et al.
Published: (2024)
by: Mingzhu Xie, et al.
Published: (2024)
Experimental Characterization and Dynamic Modeling of THz Channels Under Fog Conditions
by: Zhao, Jiaobiao, et al.
Published: (2025)
by: Zhao, Jiaobiao, et al.
Published: (2025)
DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model
by: Xu, Zhenhua, et al.
Published: (2023)
by: Xu, Zhenhua, et al.
Published: (2023)
Nanoscale Drag Reduction Effect Enables Efficient Fog Harvesting
by: Yating Ji, et al.
Published: (2024)
by: Yating Ji, et al.
Published: (2024)
Cloud-Fog Automation: The New Paradigm towards Autonomous Industrial Cyber-Physical Systems
by: Jin, Jiong, et al.
Published: (2025)
by: Jin, Jiong, et al.
Published: (2025)
Similar Items
-
SynAD: Enhancing Real-World End-to-End Autonomous Driving Models through Synthetic Data Integration
by: Kim, Jongsuk, et al.
Published: (2025) -
Simcan2Fog Virtual Appliance: A Reproducible Environment for Fog Computing Simulation
by: Ulysses, de Aguilar, et al.
Published: (2025) -
A Data Efficiency Study of Synthetic Fog for Object Detection Using the Clear2Fog Pipeline
by: Mohamed, Mohamed Ahmed, et al.
Published: (2026) -
The Fog of Wards
by: Gabriel Dabscheck, et al.
Published: (2025) -
The Fog Development Kit: A Development Platform for SDN-based Edge-Fog Systems
by: Powell, Colton, et al.
Published: (2019)