Class noise is an important issue in classification with a lot of potential consequences. It can
decrease the overall accuracy and increase the complexity of the induced model. This study …

Label noise is prevalent in real-world visual learning applications and correcting all label
mistakes can be prohibitively costly. Training neural network classifiers on such noisy …

Finding patterns in the motion of surrounding vehicles is one essential challenge to master
automated driving. It is necessary to estimate their future behavior to plan a safe and …

The last few years have seen a significant interest in driver behavior recognition. This is
particularly true in the new era of advanced technologies, for instance connected and …

In this paper, a classification algorithm of lane change maneuver based on roadside sensors
on highway is proposed. Data augmentation using field operational test data is also …