Browsing by Author "Yilmaz, A."

Filter results by typing the first few letters
Now showing 1 - 1 of 1
  • Thumbnail Image
    Article
    Citation - WoS: 4
    Citation - Scopus: 6
    A Generalizable D-Vio and Its Fusion With Gnss/imu for Improved Autonomous Vehicle Localization
    (Institute of Electrical and Electronics Engineers Inc., 2023) Yusefi, A.; Durdu, A.; Bozkaya, F.; Tiglioglu, S.; Yilmaz, A.; Sungur, C.
    An autonomous vehicle must be able to locate itself precisely and reliably in a large-scale outdoor area. In an attempt to enhance the localization of an autonomous vehicle based on Global Navigation Satellite System (GNSS)/Camera/Inertial Measurement Unit (IMU), when GNSS signals are interfered with or obstructed by reflected signals, a multi-step correction filter is used to smooth the inaccurate GNSS data obtained. The proposed solutions integrate a high amount of data from several sensors to compensate for the sensors' individual weaknesses. Additionally, this work proposes a Generalizable Deep Visual Intertial Odometry (GD-VIO) to better locate the vehicle in the event of GNSS outages. The algorithms suggested in this research have been tested through real-world experimentations, demonstrating that they are able to deliver accurate and trustworthy vehicle pose estimation. IEEE