Robust feature extraction from occluded image frames for vehicle applications

Abstract

This disclosure provides systems, methods, and devices for vehicle driving assistance systems that support image processing. In a first aspect, a method of image processing includes receiving a plurality of image frames by a computing device and using machine learning models to identify corrupted or occluded image frames. A first machine learning model may identify corrupted image frames, while a second machine learning model may identify partially occluded image frames. The method may further include generating updated versions of image frames captured by vehicle cameras, such as based on feature vectors from the first and second machine learning models. The feature vectors may be fused and provided to a third machine learning model to generate updated versions of occluded image frames. The method may further include determining vehicle control instructions based on the updated versions. Other aspects and features are also claimed and described.