A Feature-based Approach for the Recognition of Image Quality Degradation in Automotive Applications
Cameras play a crucial role in modern driver assistance systems and are an essential part of the sensor technology for automated driving. The quality of images captured by in-vehicle cameras highly influences the performance of visual perception systems. The paper presents a feature-based algorithm to detect certain effects that can degrade image quality in automotive applications. The algorithm is based on an intelligent selection of significant features. Due to the small number of features, the algorithm performs well even with small data sets. Experiments with different data sets show that the algorithm can detect soiling adhering to camera lenses and classify different types of image degradation.
At the 30th International Conference on Systems, Signals and Image Processing, IWSSIP, held in Northern Macedonia from June 27-29, 2023, Dr. Florian Bauer, research engineer at b-plus technologies, presented his research on developing an algorithm for detecting image quality degradation in automotive applications. "We are very proud that our contribution was accepted for the conference," says Dr. Florian Bauer, "It was a great honor and pleasure for me to present our research there."
Now the article has been published in the conference proceedings and can be accessed in IEEE Xplore Digital Library.
You can download a preprint of the research article here.
