# Image Deraining and Denoising Convolutional Neural Network ForAutonomous Driving

arXiv: https://arxiv.org/abs/2109.07110 · HTML: https://mlsanity.com/paper/2109.07110/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 15 Sep 2021.

## Built on by (most cited first, 1 of 1)

- [An End-to-End Cascaded Image Deraining and Object Detection Neural Network](https://mlsanity.com/paper/2202.11279/) (2022)

## Abstract (arXiv)

Perception plays an important role in reliable decision-making for autonomous vehicles. Over the last ten years, huge advances have been made in the field of perception. However, perception in extreme weather conditions is still a difficult problem, especially in rainy weather conditions. In order to improve the detection effect of road targets in rainy environments, we analyze the physical characteristics of the rain layer and propose a deraining convolutional neural network structure. Based on this network structure, we design an ablation experiment and experiment results show that our method can effectively improve the accuracy of object detection in rainy conditions.