[ECCV 2024] Histoformer: Restoring Images in Adverse Weather Conditions via Histogram Transformer

[ICPR 2024 Best Paper]:"AllWeatherNet:Unified Image enhancement for autonomous driving under adverse weather and lowlight-conditions"

Python Package that makes Vehicle Dynamics Calculation for cars.

The survey on the computer vision works under the adverse weather conditions

LAWA: LiDAR Adverse Weather Augmentation method

Analyzing semantic segmentation robustness in adverse-weather driving scenes

Rainy-condition domain adaptation notes for semantic segmentation

Research on vehicle accident detection in adverse weather using YOLOv10 and VGG19 deep learning models.

行车视频去雾/眩光抑制/低光增强，纯 OpenCV 传统图像处理

Severity-aware adaptive inference for object detection in degraded visual environments. MSc thesis (2026) — physics-grounded routing framework for fog and rain in autonomous driving.