Comparing autoencoder-based approaches for anomaly detection in highway driving scenario images

HIGHLIGHTS

• who: Vasilii Mosin from the (UNIVERSITY) have published the paper: Comparing autoencoder-based approaches for anomaly detection in highway driving scenario images, in the Journal: (JOURNAL)
• what: The authors show that the autoencoder-based approaches demonstrate promising results for detecting semantic anomalies in highway driving scenario images in some cases. In recent years, in the context of anomaly detection in autonomous driving systems, the research focus has been on describing the motivating the use and adaptation of anomaly detection techniques in such systems.
• how: The results of the experiments are presented in Sect . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.