18480774. USING A GAN DISCRIMINATOR FOR ANOMALY DETECTION (TOYOTA JIDOSHA KABUSHIKI KAISHA)

USING A GAN DISCRIMINATOR FOR ANOMALY DETECTION

Organization Name

TOYOTA JIDOSHA KABUSHIKI KAISHA

Inventor(s)

Dimitar H. Lukarski of Sunnyvale CA US

Ryan M. Wiesenberg of South Lyon MI US

Jeffrey M. Walls of Mountain View CA US

USING A GAN DISCRIMINATOR FOR ANOMALY DETECTION

This abstract first appeared for US patent application 18480774 titled 'USING A GAN DISCRIMINATOR FOR ANOMALY DETECTION

Original Abstract Submitted

Systems, methods, and other embodiments described herein relate to improving the accuracy of sensor data by using a discriminator to identify the presence of anomalies. In one embodiment, a method includes acquiring sensor data about a roadway. The method includes determining a presence of an anomaly within the sensor data using a discriminator from a generative adversarial network (GAN). The method includes generating an indicator for the sensor data according to whether the anomaly is present. The method includes providing the indicator with the sensor data.